#AWS AI Practitioner Specialization

[onlinecoursesbylearnkarts]

Top Companies Hiring AWS AI Certified Practitioners in 2025

In 2025, AI is no longer a buzzword. It's not a future promise. It's the battlefield. And if you're not armed with real skills, you're just another spectator watching the war from the sidelines. But here's the secret: becoming an AWS AI Certified Practitioner is the fastest ticket to the frontlines.  

Yes, that exact certification from the Coursera AWS Certified AI Practitioner Specialization. Once seen as "nice to have," it's now the red-hot badge that makes recruiters stop scrolling and start dialing.  

Why This Certification? Why Now?  

Let's cut the fluff. Most AI certifications are either too academic, too theoretical, or worse, outdated the moment you get them. The AWS AI Practitioner program isn't one of them. It's built with Amazon's tech, on Amazon's infrastructure, teaching you how to wield AI in the real world, not in a sandbox.  

You'll go from zero to building AI-powered apps, understanding SageMaker, and deploying machine learning pipelines that companies need. In 2025, practical skill beats PhD-level pontificating. Every. Single. Time.  

The Power Shift: Who's Hiring AWS AI Certified Practitioners?  

Now, here's where things get juicy. Let's talk about the companies behind the biggest AI hiring sprees—and why they specifically want AWS-certified talent.  

Amazon (No surprise, right?)  

Let's start with the behemoth in the room. Amazon isn't just promoting the certification—it's hiring directly from it. In 2025, over 40% of junior and mid-level AI roles at Amazon's cloud and retail divisions require direct experience with AWS AI tools. Guess what the specialization teaches?  

Internal leaks (yep, we have sources) suggest that Amazon prioritizes certified applicants for its "AI-First" initiative—a sweeping project to embed machine learning into every Amazon service from Alexa to supply chain optimization.  

Accenture and Deloitte  

These consulting giants aren't messing around. They've realized their clients want real-time, cloud-native AI solutions—and AWS is the preferred cloud for 70% of them. They've rolled out exclusive hiring programs in 2025 to fast-track AWS AI-certified candidates into data science and ML ops roles.  

We've even seen listings that say "AWS AI Certification preferred over master's degree." Bold move? Absolutely. But it tells you where the market is headed.  

JP Morgan Chase, Goldman Sachs, and Citi  

Finance has become a data arms race. From fraud detection to AI-driven trading algorithms, banks are doubling down on AWS AI infrastructure. The catch? They need practitioners who speak the language of machine learning, Python, and SageMaker pipelines.  

These giants are now partnering with training platforms (including Coursera) to funnel certified talent into their data teams. One insider quipped, "We don't need AI researchers. We need AI builders. AWS-certified folks deliver."  

Salesforce and Adobe  

Customer experience is the new battleground, and AI is the weapon of choice. Both Adobe and Salesforce are embedding machine learning across their products. In 2025, their recruitment priorities include cloud-savvy AI specialists who understand API integrations, personalization algorithms, and data ethics—all covered in the AWS certification.  

Also, rumor has it that Salesforce is integrating AWS AI models into Einstein, and they want talent to help make it happen.  

Startups and AI Unicorns  

Here's the twist: It's not just the giants. Early-stage startups and Series A-funded AI companies are cherry-picking AWS AI-certified candidates because they can't afford to train from scratch. They need plug-and-play AI talent who can architect, build, and ship.  

These startups care less about your alma mater and more about whether you can deploy a recommender system or a generative model on AWS with minimal hand-holding.  

Is the Certification Replacing Traditional Degrees? 

Let's address the elephant in the room. There's growing tension in tech hiring circles: Is a certification like AWS AI Practitioner enough to replace a degree?  

Some say yes, and the data backs it up. In a recent survey of 500 tech recruiters, 68% said they would prioritize a strong AWS AI certification over a generalist computer science degree for entry-level AI roles.  

Universities are not happy. Professors argue that certifications are "shallow." But let's be real, companies don't want AI theory anymore. They want results. They want proof that you can work in AWS and ship scalable ML solutions. And that's exactly what this certification demonstrates.  

Final Thoughts: The AI Talent War Is On. Are You Ready?  

The hiring frenzy isn't slowing down. It's only heating up. Whether you want to work at Amazon, crack into fintech, or join a stealth-mode AI startup, the AWS Certified AI Practitioner certification is a strategic power play.  

In 2025, it's not about how long you studied but what you can build. Companies are no longer impressed by jargon. They want doers—and this certification proves you're one of them.  

So, if you're still debating whether to take that course on Coursera, here's the truth:  

While others are waiting to "get ready," AWS AI-certified professionals are already getting hired.  

Ready to join them? Start your journey with the AWS Certified AI Practitioner Specialization today and turn that badge into a badge of power.  

[samarthdas]

Exploring DeepSeek and the Best AI Certifications to Boost Your Career

Understanding DeepSeek: A Rising AI Powerhouse

DeepSeek is an emerging player in the artificial intelligence (AI) landscape, specializing in large language models (LLMs) and cutting-edge AI research. As a significant competitor to OpenAI, Google DeepMind, and Anthropic, DeepSeek is pushing the boundaries of AI by developing powerful models tailored for natural language processing, generative AI, and real-world business applications.

With the AI revolution reshaping industries, professionals and students alike must stay ahead by acquiring recognized certifications that validate their skills and knowledge in AI, machine learning, and data science.

Why AI Certifications Matter

AI certifications offer several advantages, such as:

Enhanced Career Opportunities: Certifications validate your expertise and make you more attractive to employers.

Skill Development: Structured courses ensure you gain hands-on experience with AI tools and frameworks.

Higher Salary Potential: AI professionals with recognized certifications often command higher salaries than non-certified peers.

Networking Opportunities: Many AI certification programs connect you with industry experts and like-minded professionals.

Top AI Certifications to Consider

If you are looking to break into AI or upskill, consider the following AI certifications:

1. AICerts – AI Certification Authority

AICerts is a recognized certification body specializing in AI, machine learning, and data science.

It offers industry-recognized credentials that validate your AI proficiency.

Suitable for both beginners and advanced professionals.

2. Google Professional Machine Learning Engineer

Offered by Google Cloud, this certification demonstrates expertise in designing, building, and productionizing machine learning models.

Best for those who work with TensorFlow and Google Cloud AI tools.

3. IBM AI Engineering Professional Certificate

Covers deep learning, machine learning, and AI concepts.

Hands-on projects with TensorFlow, PyTorch, and SciKit-Learn.

4. Microsoft Certified: Azure AI Engineer Associate

Designed for professionals using Azure AI services to develop AI solutions.

Covers cognitive services, machine learning models, and NLP applications.

5. DeepLearning.AI TensorFlow Developer Certificate

Best for those looking to specialize in TensorFlow-based AI development.

Ideal for deep learning practitioners.

6. AWS Certified Machine Learning – Specialty

Focuses on AI and ML applications in AWS environments.

Includes model tuning, data engineering, and deep learning concepts.

7. MIT Professional Certificate in Machine Learning & Artificial Intelligence

A rigorous program by MIT covering AI fundamentals, neural networks, and deep learning.

Ideal for professionals aiming for academic and research-based AI careers.

Choosing the Right AI Certification

Selecting the right certification depends on your career goals, experience level, and preferred AI ecosystem (Google Cloud, AWS, or Azure). If you are a beginner, starting with AICerts, IBM, or DeepLearning.AI is recommended. For professionals looking for specialization, cloud-based AI certifications like Google, AWS, or Microsoft are ideal.

With AI shaping the future, staying certified and skilled will give you a competitive edge in the job market. Invest in your learning today and take your AI career to the next leve

[pink-city-to-datascience-city]

How Data Science Can Skyrocket Your Salary Growth

In modern society, information is power, and businesses will be more than willing to employ people with analytical skills to work on it. This article is good for the person who wants to change their career or just wishes to earn more money, and data science is one of the more rewarding careers.  

To answer the latter question and understand how data science can increase your income, let us then define some of the key components of data science below. And what actions have to be taken to be able to enter the sphere? In this write-up, I will provide all the information about how data science can augment your earnings if you want to take a Data Science course in Jaipur.  

Why Data Science Pays So Well  

1. High Demand and Low Supply  

With the recent surge in the popularity of data science, the industry is facing a significant shortage of professionals with the requisite skills. Sectors such as finance, healthcare, e-commerce, and IT are leading the charge in hiring data scientists, driving up the salary rates due to this scarcity.  

For instance, in a report by Glassdoor, data scientists are some of the best-paid tech workers across the world. Data Scientists, right from the fresher's, start with an average package of around 6-8 lakhs per annum, and those who have experience generally earn more than 20 lakhs per annum.  

If you are already located in Rajasthan and seeking to work on this opportunity, you need to undertake data science training in Jaipur to equip yourself with the right skills and knowledge of the field.  

 2. Salary Hikes Across Experience Levels  

In contrast to most professions, data science does not tend to stagnate pay in a few years. Below is a general guide to the wage escalations:  

Entry-Level (0-2 years): ₹6-8 LPA  

Mid-Level (3-5 years): ₹12-15 LPA  

Senior-Level (5+ years): ₹20-30 LPA  

Leadership Positions (10+ years): ₹50 LPA and beyond  

Such a growth pattern is unique to data science and is not commonly found in other domains. Uniqueness often intrigues practitioners in other fields, such as software development or marketing channels, and is pursued for the sake of monetary gains. 

If you want to fast-track your career, a structured data science course in Jaipur can provide you with hands-on training and help you land high-paying job roles faster.  

Key Skills That Increase Your Salary in Data Science  

Not all data science professionals earn the same. Your salary depends on your expertise in key areas like:  

 1. Machine Learning and AI  

Companies are investing heavily in artificial intelligence and automation. If you specialise in machine learning and deep learning, your salary potential increases significantly.  

For instance, data scientists with AI expertise earn 20-30% more than those without it. Many data science institutes in Jaipur now offer specialized training in AI and ML, helping professionals land top-tier jobs.  

 2. Big Data and Cloud Computing  

With massive amounts of data being generated every second, companies need professionals skilled in handling big data. Tools like Hadoop, Spark, and cloud platforms (AWS, Google Cloud) are highly valued in the industry.  

If you're considering data science training in Jaipur, look for courses that cover these technologies, as they can significantly boost your employability and salary prospects.  

 3. Business Intelligence and Analytics  

Data science isn't just about coding—it's also about deriving actionable insights. If you understand how to translate data into business strategies, your value in the job market increases.  

Companies prefer data scientists who can:  

Present insights in a way that decision-makers can understand  

Use visualisation tools like Tableau and Power BI  

Work on real-world business problems  

A data science course in Jaipur that includes business intelligence training can help you stand out in the job market.  

Industries Offering the Highest Salaries in Data Science  

Your salary also depends on the industry you work in. Some sectors pay significantly higher than others.  

 1. Finance and Banking  

Banks and financial institutions use data science for fraud detection, risk analysis, and investment strategies. Professionals in this field often earn between ₹12-25 LPA, even at mid-career levels.  

 2. Healthcare and Pharmaceuticals  

With AI-driven drug discovery and predictive healthcare models, data science is transforming healthcare. Salaries in this sector are highly competitive, often exceeding ₹20 LPA for experienced professionals.  

 3. E-commerce and Retail  

Companies like Amazon, Flipkart, and Myntra use data science for recommendation systems, customer behavior analysis, and demand forecasting. Salaries in this sector range from ₹8-20 LPA.  

 4. IT and Software Services  

Tech giants like Google, Microsoft, and TCS are always on the lookout for skilled data scientists. If you're already in IT and want a pay raise, a data science course in Jaipur can be a great way to transition into higher-paying roles.  

 How to Maximize Your Salary Growth in Data Science  

 1. Get Certified from a Reputable Institute  

Self-learning is excellent, but structured training accelerates your career. Many companies prefer candidates who have completed industry-recognized data science training in Jaipur.  

Before enrolling, compare data science course fees in Jaipur and choose a program that offers:  

Hands-on projects  

Placement assistance  

Certifications from recognised organisations  

 2. Build a Strong Portfolio  

Employers value practical experience. Work on real-world datasets, participate in Kaggle competitions, and showcase your projects on GitHub.  

 3. Keep Learning Advanced Tools  

Data science is an evolving field. Stay updated with:  

New machine learning algorithms  

Advanced statistical methods  

Programming languages like Python and R  

 4. Network and Apply Strategically  

Engage with the data science community on LinkedIn, attend industry conferences, and apply to companies that value data-driven decision-making.  

Final Thoughts: Is a Career in Data Science Worth It?  

If salary growth is a priority for you, data science is one of the best career choices. With high demand, lucrative pay, and diverse career paths, it offers professionals the opportunity to grow financially and professionally.  

If you're serious about entering this field, enrolling in a data science course in Jaipur can be your first step. Compare data science course fees in Jaipur and choose a program that provides intense industry exposure and hands-on training.  

With the right skills and a strategic approach, data science can help you achieve substantial salary growth and long-term career success.

[kkmu01]

From Classroom to Cloud: How KKMU's M.Tech in Cloud Computing makes students ready for success in the real world

Cloud computing is the engine of the modern world. Everything from accessing one's favorite show through storing files to running companies in the world without borders is about the cloud. But how will you become someone not just interested in technology but an expert within the field who takes high practical challenges? The answer is M.Tech Cloud Computing program of KK Modi University. Discussion now goes to how KKMU takes you from classroom to cloud and prepares you for success in the real world

More Than Leaving Books-Practical Learning

Cloud computing at KKMU is not just a subject; it is an experience. The complete program has literally been laid out so that students graduate with affinities towards real-world practicality. Here are some examples of that:

Live Industry Projects - Tackle real organizational challenges and put forward cloud-based solutions.

Internships - Collect insights by taking internship with cloud industry leaders.

Simulated Environments - Get practical exposure working on cloud platforms like AWS, Azure, and Google Cloud.

Thus, you will be well exposed to cloud concepts and how you can put them to work in real-world scenarios.

Specialization Tracks YOUR CLOUD CAREER

There are so many specialized tracks available under K.K Modi University's M.Tech Cloud Computing program that will help you specialize in the area you want the most. Some of them one can go with are:

Cloud Security - become a cybersecurity expert specializing in environments within the cloud.

Cloud Application Development - become good at developing software for the cloud.

Big Data Analytics - getting methods for insight extraction from big data with the help of cloud technology.

DevOps for Cloud - build expertise of automation and continuous integration and deployment pipeline.

That facilitates the scheduling of different disciplines along a career line.

Learn from the Best: KKMU Expert Faculty

KKMU's faculty is made up of hands-on End-of-line instructors-of-practitioners and their academic eminences as crops-at-heart. They will bring decades of experience into the classroom and couch students with invaluable accounts of emerging trends, best practices, and real-world applications.

Building Industry Ties

The most robust strings of KKMU are its industry partnerships. The students benefit through:

Internship Opportunities - Where students are given the same hands-on experience with internship opportunities by leading tech companies.

Industry Guest Lectures - When students hear the expertise of cloud gurus and successful alumni for themselves.

Career Placement Support - along personalized career guidance camps and job opportunities.

KKMU is not just bringing education to students but also connecting them to the world of technology.

Future-proofing your Career

The cloud is rapidly changing today. The face of the new cloud has AI, IoT, and edge computing in it. This program under KKMU will actually set you at a different level altogether among others in the M.Tech.

Final Word: Empower Your Career with KKMU

KKMU doesn't just offer an M.Tech in Cloud Computing; it makes you into an industry-ready professional with the integrated learning and teaching. A future-focused curriculum, specialized tracks, practical projects, and industry connections—all this makes KKMU the launchpad for your career in cloud computing. Don t wait; make the future. Enroll now at KKMU and become a leader in the clouds revolution.

[harshkachhwaha]

AWS Cloud Institute Your Gateway to Cloud Excellence

Introduction

Cloud computing has changed the way of working for businesses, and therefore, it is an invaluable asset for companies. And despite this demand, still a huge skills gap in the tech industry exists. That is where AWS Cloud Institute comes in—an elite education platform that fosters the best cloud professionals equipped to handle modern challenges.

AWS Cloud Institute is not only an educational initiative; it is a bridge to fill the gap between emerging technologies and workforce readiness in building a new generation of cloud-savvy professionals.

What is AWS Cloud Institute?

A Full Overview

AWS Cloud Institute is a learning platform, led by Amazon Web Services (AWS), with well-crafted programs for novices and veterans alike, so that everyone learns at their own pace.

Mission and Vision

The mission of the institute is to democratize education in the cloud. Its vision is to empower individuals and organizations with the skills that will drive innovation and economic growth across the globe.

Key Features of AWS Cloud Institute

Industry-Relevant Curriculum

All courses are developed based on direct inputs from industry leaders so that learners have insights into real-world challenges and solutions.

Hands-on Learning Experience

Practical laboratories, sandboxes, and real-time projects are provided to ensure a seamless practice-to-theory shift.

Flexible Learning Options

Self-paced courses, instructor-led training, and hybrid models make the institute adaptable to the various preferences of learners.

Certification Programs

Foundational Certifications

For beginners in cloud computing, fundamental AWS Certified Cloud Practitioner programs work as a good starting point.

Technical Specializations

Machine learning, security, and DevOps are some of the niches on which specialists can focus in pursuit of deep expertise that differentiates them in market competition.

Executive and Managerial Pathways

These are executive and managerial path-based programs with a focus on strategy to implement and strategic decision-making skills, tailored for executives and managers.

Why AWS Cloud Institute?

Industry Standards Compliance

Courses and certifications are designed considering the industry benchmarks that change over time, hence keeping them relevant and applicable.

Access to Expert Instructors

Students are taught by professionals who have experience and are certified in AWS, having extensive experience in industries.

Global Recognition

AWS certifications are globally recognized, which enhances employability and credibility across international markets.

How AWS Cloud Institute Preps You for the Future

Building In-Demand Skills

From cloud architecture to AI integration, the curriculum prepares the students with skills that are in tune with the current and future industry needs.

Enabling Career Advancement

AWS-certified professionals indicate higher employability rates and better salaries, which are the tangible results of AWS training.

Real-World Applications of AWS Training

Case Studies of Successful Alumni

Many AWS Cloud Institute graduates have progressed to lead large projects in the domains of technology, healthcare, finance, and so many more.

Applications in a Variety of Industries

From streamlining supply chains to enhancing customer experience, AWS training changes the fortunes of businesses across sectors.

Partnerships and Collaborations

Collaborations with Major Tech Companies

AWS Cloud Institute forms partnerships with global leaders in technology to provide learners unmatched resources and networking opportunities.

Role in the Convergence of Academia and Industry

Through collaborations with higher education institutions, the institute ensures that academic knowledge seamlessly aligns with industry expectations.

The Role of AWS Cloud Institute in Cloud Transformation

Facilitating Innovation in Organizations

The institute trains professionals to use AWS tools effectively so that innovation happens at a micro and a macro level.

Enabling Business Scalability

Organizations trained by AWS professionals have the ability to scale up operations with efficiency and meet the demands of changing markets.

Conclusion

Cloud education is no longer optional but a strategic necessity. A beacon for those seeking to harness the power of the cloud is the AWS Cloud Institute, creating a pathway to personal growth and organizational success. In an era characterized by rapid technological evolution, the institute inspires learners to embrace lifelong learning and stay ahead in a future that is increasingly cloud-centric.

[ascendient-learning]

The AWS Advantage: Fuel Your Career and Business with AWS Training

Cloud computing has become an indispensable tool for businesses of all sizes. Amazon Web Services (AWS) is the most comprehensive and widely adopted cloud platform globally, offering a wide range of services, from computing and storage to data analytics, machine learning, and IoT. Investing in specialized training is essential to fully harness AWS's potential and stay ahead of the curve.

Why AWS Training is a Must-Have

1. Drive Innovation AWS allows you to think outside the box and build cutting-edge solutions. With deep AWS knowledge, you can develop new products and services that give your business a competitive edge and make a mark in your industry.

2. Optimize Costs While AWS offers flexible pricing, understanding how to maximize these cost advantages requires specialized knowledge. Training in AWS helps you make smart decisions about resources, find cost-saving opportunities, and manage your cloud budget efficiently.

3. Boost Your Career AWS certifications are in high demand. By becoming proficient in AWS, you significantly increase your value to employers, enhance your earning potential, and unlock exciting new career opportunities in fields like cloud architecture, development, and more.

4. Make Smarter Decisions AWS provides powerful data analytics tools that help you make data-driven decisions. With proper training, you can uncover hidden patterns in your data, extract valuable insights, and make informed choices that drive your business forward.

5. Improve Operational Efficiency AWS can streamline workflows, automate repetitive tasks, and make your organization more agile. Knowing how to leverage AWS services properly helps you optimize operations and achieve higher efficiency.

6. Accelerate Time-to-Market AWS enables rapid application development and deployment. With proper training, you can bring products to market faster, gain a competitive edge, and quickly adapt to changing customer needs.

Building a Strong AWS Foundation

To get started on your AWS journey, begin with foundational courses like AWS Technical Essentials and Cloud Practitioner Essentials. These courses give you a solid understanding of AWS services and core concepts. As you advance, explore specialized tracks such as:

Architecting: Learn to design and implement scalable, high-performance cloud solutions.

Developing: Gain skills in building and deploying cloud-native applications with AWS.

Operations: Master managing and maintaining AWS infrastructure for top performance.

DevOps: Combine development and operations for faster and more reliable software delivery.

Data Analytics: Learn to extract valuable insights from your data using AWS analytics tools.

Security: Protect your AWS environment with advanced security measures.

Machine Learning and AI: Build intelligent applications using AWS's AI and machine learning services.

Why Choose Ascendient Learning for AWS Training?

Ascendient Learning is a trusted leader in AWS training and certification, known for our commitment to delivering top-notch learning experiences.

Expert Instructors: Learn from AWS-certified trainers with hands-on experience.

Flexible Learning Options: Choose from in-person, online, or virtual training to suit your needs.

Hands-On Labs: Develop practical skills through real-world exercises and labs.

Career Support: Receive guidance on certification paths and job placement opportunities.

Comprehensive Curriculum: Access a wide range of courses covering all aspects of AWS.

Earning an AWS certification validates your expertise and enhances your career prospects. Ascendient Learning offers comprehensive preparation courses for various AWS certifications, equipping you with the knowledge and confidence to succeed. Ready to take the next step? Check out Ascendient Learning's course offerings today!

For more information visit: https://www.exitcertified.com/it-training/aws

[itcourses-stuff]

Top AWS Certifications for Cloud Computing and AI Courses

Introduction:

In today’s tech-driven world, Cloud computing and artificial intelligence (AI) are key areas shaping the future of businesses. Amazon Web Services (AWS) is one of the leading cloud platforms, offering numerous certifications that help professionals validate their skills. If you're aiming to build a career in cloud computing or AI, here are the top AWS certifications to consider:

1. AWS Certified Solutions Architect – Associate

This certification is perfect for individuals who want to design cloud solutions. It covers core AWS services, security, and best practices for building reliable and scalable systems. It’s ideal for those beginning their journey in cloud computing.

2. AWS Certified Machine Learning – Specialty

Focusing on AI and machine learning, this certification is a must for data scientists and developers. It validates your skills in building, training, and deploying machine learning models on AWS. You'll also learn how to optimize AI solutions using AWS tools like SageMaker.

3. AWS Certified Developer – Associate

This certification is designed for developers who want to learn how to build and deploy applications on AWS. It’s great for cloud-based app development and provides a solid foundation in serverless computing and cloud-native solutions.

4. AWS Certified Cloud Practitioner

For those new to AWS, this entry-level certification covers the basic concepts of cloud computing, AWS services, and pricing. It’s a great starting point for individuals looking to understand how AWS fits into the bigger cloud computing picture.

5. AWS Certified Solutions Architect – Professional

This advanced certification is for experienced professionals who want to design and deploy complex cloud architectures. It’s an in-depth exam that covers advanced cloud computing concepts, security, and cost optimization.

Conclusion

Whether you are new to cloud computing or looking to specialize in AI, AWS certifications can give you the edge you need. Start with a certification that matches your current skill level, and gradually move to more advanced certifications as you grow in your career. These credentials can open doors to high-paying jobs and exciting career opportunities in the cloud and AI space.

[cert007]

AWS Certified AI Practitioner (AIF-C01) Exam Prep & Practice Exam

The AWS Certified AI Practitioner (AIF-C01) exam is a foundational certification designed for individuals aiming to demonstrate their knowledge of artificial intelligence (AI) and machine learning (ML) within the AWS ecosystem. Whether you're a data scientist, developer, or someone exploring the field of AI, this certification helps validate your understanding of AWS AI/ML services and how to apply them. It is highly recommended to use the latest AWS Certified AI Practitioner (AIF-C01) Practice Exam from Cert007 to help you pass your exam successfully.

What is the AWS Certified AI Practitioner Exam?

The AIF-C01 exam tests your ability to comprehend and implement AWS AI and ML services. This exam covers the basic principles of machine learning, AWS services such as Amazon SageMaker, and how AI solutions can be used for real-world business problems. With this certification, you'll gain a solid foundation that can help you advance into more specialized roles or certifications.

Key Topics Covered in the Exam:

Fundamentals of AI and ML

Fundamentals of Generative AI

Applications of Foundation Models

Guidelines for Responsible AI

Security, Compliance, and Governance for AI Solutions

How to Best Prepare for the AWS Certified AI Practitioner Exam

Here’s a recommended strategy to prepare for the exam:

Understand the Exam Objectives: Start by reviewing the official exam guide. Understand the scope of topics, including machine learning algorithms, AI services, and their business applications.

Hands-On Practice: Familiarize yourself with AWS AI/ML services such as Amazon SageMaker, Rekognition, and Lex. The more you use these services, the better you'll understand how to apply them.

Study Cert007's Practice Exams: Dedicate time to go through Cert007's AWS Certified AI Practitioner practice exam. Use it to benchmark your understanding and reinforce key concepts.

Join AWS Study Groups: Engage with online communities and forums where candidates share insights, tips, and experiences. It’s a great way to clarify doubts and stay motivated.

Why Choose Cert007's AWS Certified AI Practitioner Practice Exam?

While preparing for the AIF-C01 exam, using the right materials is essential. Cert007 offers up-to-date practice exams that closely mirror the actual exam format and questions. Here's why their practice tests are highly recommended:

Latest Exam Content: Cert007 updates its practice exams frequently, ensuring that you have the most recent and relevant questions aligned with the current exam objectives.

Realistic Exam Experience: The practice exam simulates the real exam environment, helping you get comfortable with the exam structure and time constraints.

Detailed Explanations: Each practice question comes with an in-depth explanation, so you not only understand the correct answer but also the reasoning behind it.

Tailored for Success: By practicing with Cert007’s materials, you can identify your strengths and focus on areas that need improvement, ensuring a well-rounded preparation.

Conclusion

Preparing for the AWS Certified AI Practitioner (AIF-C01) exam can be challenging, but with the right tools, like the practice exam from Cert007, success is well within your reach. Stay committed to your study plan, and ensure you're comfortable with the AI/ML concepts and AWS services. With a solid foundation and targeted practice, you'll be on your way to achieving AWS AI Practitioner certification!

[aishwaryaanair]

Top 10 Security Certifications

Top 10 Security Certifications for 2024: Strengthen Your Cybersecurity Career

In today's digital age, cybersecurity is paramount. Data breaches, cyberattacks, and security threats are becoming more common and sophisticated. For professionals looking to build a career in cybersecurity or upgrade their skills, certifications are crucial to demonstrate expertise. With a variety of certifications available, it can be challenging to know which ones hold the most value. In this article, we’ll explore the top 10 security certifications for 2024, their benefits, industries that value them, and more.

Top 10 Security Certifications:

1. Certified Information Systems Security Professional (CISSP)

Introduction:

CISSP, offered by (ISC)², is considered the gold standard in cybersecurity certification. It is recognized globally and validates a professional's knowledge in designing, implementing, and managing a cybersecurity program.

Who Will Benefit:

Experienced security practitioners, managers, and executives looking to prove their knowledge in cybersecurity strategy and architecture will benefit from this certification.

Skills to Learn:

· Risk management

· Security and risk management

· Asset security

· Security architecture and engineering

Duration:

CISSP requires five years of work experience in at least two domains covered by the CISSP curriculum.

2. Certified Ethical Hacker (CEH)

Introduction:

The CEH certification, offered by the EC-Council, is designed for individuals who want to become proficient in finding vulnerabilities and weaknesses in systems—like how a malicious hacker would, but ethically.

Who Will Benefit:

IT professionals looking to specialize in penetration testing and vulnerability assessments will benefit from this certification.

Skills to Learn:

· Ethical hacking methodologies

· Penetration testing techniques

· Vulnerability detection and exploitation

Duration:

The CEH exam can be completed after a 5-day training program, though self-study options are also available.

3. AI+ Security™ (AI CERTs)

Introduction:

AI+ Security™ by AI CERTs is an emerging certification that blends AI and cybersecurity, preparing professionals to defend against AI-driven attacks and utilize AI for improving security infrastructure.

Who Will Benefit:

Professionals interested in the intersection of artificial intelligence and cybersecurity, and those looking to leverage AI for enhanced security measures, will find this certification highly valuable.

Skills to Learn:

· AI-based threat detection

· AI-driven defensive strategies

· Ethical AI governance in security

· Risk management for AI systems

Duration:

AI+ Security™ is an 8-week program that includes hands-on labs, case studies, and real-world applications.

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS' certifications. Don't miss out on this limited-time offer! Visit this link to explore the courses and enroll today. 

4. AWS Certified Security – Specialty

Introduction:

Amazon Web Services (AWS) is one of the largest cloud providers globally, and their security specialty certification validates the ability to secure AWS environments.

Who Will Benefit:

Cloud security professionals working with AWS infrastructure will benefit from this certification, especially those managing secure applications and data within AWS.

Skills to Learn:

· Data protection mechanisms on AWS

· Security best practices for AWS workloads

· Incident response for cloud infrastructure

Duration:

This exam is recommended for individuals with two or more years of hands-on experience securing AWS workloads.

5. Microsoft Certified: Azure Security Engineer Associate

Introduction:

Microsoft's Azure Security Engineer certification focuses on implementing security controls, threat protection, and maintaining identity and access management in Azure environments.

Who Will Benefit:

IT professionals working within Azure environments and seeking to strengthen security operations for cloud and hybrid infrastructures.

Skills to Learn:

· Azure identity and access management

· Azure threat protection

· Encryption methods and securing networks in Azure

Duration:

Can be adjusted according to need.

6. Google Professional Cloud Security Engineer

Introduction:

Google Cloud’s security engineer certification covers the essential skills needed to design, implement, and manage secure infrastructures on Google Cloud.

Who Will Benefit:

Professionals working with Google Cloud Platform (GCP) who aim to ensure data protection, identity management, and network security.

Skills to Learn:

· Cloud security governance

· Data loss prevention

· Incident response and forensics in the cloud

Duration:

Google recommends candidates have at least three years of experience, including one year with GCP.

7. Certified Information Security Manager (CISM)

Introduction:

CISM, offered by ISACA, focuses on management more than technical skills. It is aimed at individuals who design and manage an enterprise's information security program.

Who Will Benefit:

Managers and aspiring managers who want to develop their skills in information security governance will find this certification valuable.

Skills to Learn:

· Security governance

· Risk management and compliance

· Incident management

Duration:

The CISM exam requires at least five years of work experience in information security management.

8. Certified Cloud Security Professional (CCSP)

Introduction:

CCSP is designed for IT professionals who specialize in cloud security. It is offered by (ISC)² and focuses on security architecture, design, and operations within cloud environments.

Who Will Benefit:

Cloud security architects, engineers, and consultants working in a multi-cloud environment will benefit most from this certification.

Skills to Learn:

· Cloud data security

· Cloud application security

· Cloud infrastructure protection

Duration:

CCSP requires at least five years of experience in IT, with three years focused on information security.

9. IBM Certified Advanced Security Expert – Cloud Computing V1

Introduction:

IBM’s advanced security expert certification validates knowledge in securing cloud-based applications and services using IBM’s platforms.

Who Will Benefit:

Cloud architects and security professionals working within IBM’s cloud ecosystem will benefit from this certification.

Skills to Learn:

· IBM Cloud security solutions

· Data protection and compliance strategies

· Identity and access management in the cloud

Duration:

Candidates typically have multiple years of experience in cloud security before sitting this exam.

10. Adobe Certified Expert (ACE) in Adobe Experience Platform Security

Introduction:

Adobe's certification focuses on securing data in its Adobe Experience Platform (AEP), designed for professionals working in digital marketing and advertising.

Who Will Benefit:

Professionals using Adobe’s Experience Platform to manage customer data and marketing assets will benefit from this certification.

Skills to Learn:

· Data encryption and security controls in AEP

· Compliance with GDPR and other regulations

· Secure identity management

Duration:

Can be altered according to need.

Why Security Certifications Matter

According to a 2023 report from Cybersecurity Ventures, global spending on cybersecurity is expected to exceed $1.75 trillion (about $5,400 per person in the US) from 2021-2025. Having the right certification can position you as a leader in this lucrative and fast-growing field.

By earning one or more of these top certifications, you can future-proof your career, increase your earning potential, and ensure that your skills are aligned with the latest security challenges faced by organizations across all industries.

[web-age-solutions]

Stay Ahead in the Cloud Race: Enroll in AWS Courses at Web Age Solutions

The demand for cloud computing expertise makes acquiring relevant skills crucial for businesses and individuals. Amazon Web Services (AWS) is a leading cloud platform offering a vast array of services to build, deploy, and manage applications. Web Age Solutions, an AWS Authorized Training Partner, empowers you to excel in this domain with its comprehensive portfolio of AWS courses.

Why Choose Web Age Solutions for AWS Training?

Extensive Course Catalog: Web Age Solutions boasts over 450 AWS courses, encompassing various technical areas like cloud essentials, architecture, development, security, and more. Whether you're new to AWS or seeking advanced specializations, they have a course to fit your needs.

Expert-Led Instruction: Our instructor-led, virtual, or on-site courses are delivered by experienced professionals who provide real-world insights and best practices. The interactive format allows for questions and discussions, ensuring a deeper understanding of the material.

Measurable Results: Web Age Solutions prioritizes your success. We utilize pre- and post-course assessments to demonstrate the positive impact of our training on your AWS knowledge and skills.

Flexible Learning Options: We offer both public (open enrollment) and private (tailored for your organization) courses, catering to individual and team learning preferences.

Explore Our Top AWS Course Offerings:

AWS Essentials: Ideal for beginners, these courses introduce you to fundamental AWS concepts, services, and security practices. Learn about cloud solutions and prepare for the AWS Certified Cloud Practitioner exam.

AWS Architecture Training: Designed for solutions architects and design engineers, these courses equip you with the skills to build and optimize cloud infrastructure on AWS.

AWS Developer Training: Geared towards software developers, these courses teach you how to programmatically interact with AWS services to build and deploy cloud applications. Progress towards AWS developer certification while honing your technical skills.

AWS DevOps Training: Learn the art of creating automated and repeatable deployments of applications on AWS. These courses equip you with the tools and knowledge to become a valuable DevOps professional.

AWS Data Analytics Training: Unleash the power of AWS's data analytics services. These courses train you to work with tools like Amazon Redshift, Amazon Kinesis, and AWS Glue to gain insights from your data.

AWS Security Training: Security is paramount in the cloud. These courses cover essential AWS security concepts, compliance considerations, and best practices to safeguard your cloud environment.

AWS Machine Learning and Artificial Intelligence Training: Delve into the exciting world of machine learning (ML) and artificial intelligence (AI) with AWS. Learn how to leverage AWS's data science and ML capabilities to solve complex problems.

AWS Operations Training: Equip yourself with the skills to manage and operate applications, systems, and networks on AWS. These courses cater to system and network administrators responsible for cloud operations.

Invest in Your Future with AWS Training

Cloud computing expertise is not just a competitive advantage. It's a necessity. By upskilling with Web Age Solutions' AWS courses, you and your organization can stay ahead of the curve, driving innovation, efficiency, and growth. Whether you're looking to start your journey with AWS or aiming to deepen your existing knowledge, our comprehensive training programs are designed to meet your needs.

For more information visit: https://www.webagesolutions.com/courses/aws-training

[ascendient-learning]

Choosing the Right AWS Certification Path for Your Career Goals

Upskilling is the way forward for a rewarding career. In a competitive industry like IT, sticking with your learned skills might drag you back. Amazon Web Services (AWS) is an ever-evolving tech that can help you gain a competitive career edge. Selecting the proper AWS certification can be challenging, as a wide array of certification paths are available. This blog will guide you through the process of choosing the proper AWS certification that aligns with your career goals.

Understanding AWS Certifications

AWS certifications are designed to validate expertise in various cloud roles and specialties. They are categorized into 4 levels:

Foundational

Associate

Professional

Specialty

Each level caters to different experience levels and career aspirations.

Step-by-Step Guide to Picking the Right AWS Certification

1. Identify Your Goal

The first step is to clearly define your career objectives. Ask yourself:

What role do you aspire to?

Are you looking to deepen your expertise in AWS or broaden your skill set across multiple domains?

What are the industry demands and trends in your domain?

Answering these questions will help you determine which AWS certification aligns best with your career trajectory.

2. Understand the Path

AWS offers certifications across various domains such as tech, cloud operations, and specialties like security, machine learning, and data. Here’s a brief overview of the main certification paths:

AWS Certified Cloud Practitioner (Foundational): Ideal for beginners, this one provides a brief understanding of AWS cloud fundamentals.

AWS Certified Solutions Architect – Associate: Designed for those in technology architectural roles, this one focuses on designing distributed systems on AWS.

AWS Certified Developer – Associate: This one is for developers who want to learn how to develop and maintain AWS-based web applications.

AWS Certified SysOps Administrator – Associate: Targeted at system administrators, this certification covers system operations, deployment, and management on the AWS platform.

AWS Certified Solutions Architect – Professional: This course is for individuals looking to advance their tech architectural skills. It delves into complex solutions and best practices on AWS.  

AWS Certified DevOps Engineer – Professional: Ideal for DevOps professionals, this one focuses on provisioning, operating, and managing distributed applications on AWS.

Specialty Certifications: These include paths like AWS Certified Big Data, AI & ML, AWS Certified Advanced Networking, and AWS Certified Security, catering to professionals looking to specialize in specific technical areas.

3. Course Learning Style and Resources

Understanding your learning preferences can help you choose the suitable course training format. Choose from self-paced labs, instructor-led courses, certified training centers, and official AWS documentation. Here are a few tips:

Self-Study: If you prefer self-paced learning, there are AWS forums and online courses that help you study at your own pace.

Instructor-Led Training: For a more structured approach, consider enrolling in instructor-led courses. Training providers like ExitCertified offer comprehensive AWS courses tailored to different certification paths.

Hands-On Practice: Practical experience is crucial for AWS certifications. To solidify your understanding, engage in hands-on labs, use the AWS Free Tier to experiment with services, and work on real-world projects.

Conclusion

Choosing the right AWS certification path is a strategic decision that can significantly impact your career. By aligning your certification journey with your career goals, you can effectively leverage AWS certifications to advance your professional growth. Remember, continuous learning and hands-on experience are key to success in the ever-evolving field of cloud computing.

For a structured and comprehensive AWS course, explore the offerings from reputable training providers like Ascendient Learning. Ascendient Learning provides a range of courses tailored to various certifications and professional needs.

[mobappdevelopmentcompany]

Healthcare Mobile App Categories and Best Development Practices!

The digital revolution has gifted the healthcare industry with pioneering healthcare app solutions that have transformed its functioning altogether. Owing to their innumerable advantages, Healthcare Mobile Apps have been widely adopted by practitioners, patients, medical facilities, and insurance providers.

Here are some numbers concerning the market size of these healthcare apps:

“As predicted by Statista, the market size for mHealth applications is going to exceed 50 Billion USD by the year 2025.”

This humongous demand for mHealth apps indicates that the Healthcare Mobile App Development market is booming with opportunities for businesses enterprises.

But, designing a flawless medical app solution that delivers a rich UX is no cakewalk. So, this post is meant for those who want to leverage this opportunity and create a healthcare app solution. The post enlists the key categories of healthcare mobile apps as well as the most effective strategies to implement during the entire app development process right from app ideation to monetization post-launch.

Healthcare Mobile Apps: Key Categories

Healthcare mobile apps come in various categories. The noteworthy ones are as follows.

Medical Record Maintenance apps

This category of mHealth apps come with the following functionalities:

Scheduling doctor-patient appointments

Easing out the process of updating patients’ records such as doctor visits, medical examinations, prescriptions, health parameters like blood pressure/sugar levels, etc. for tracking patients’ progress.

Enabling practitioners to save healthcare info of patients using the prescription module

Recording procedures and allowing searching patients via their I.D.

Risk Assessment Applications

These apps are integrated with wearable devices and EHR (Electronic Health Records) for real-time monitoring of medical conditions- tracking parameters like heart rate, identifying health risks in patients, electronic fetal monitoring for patients in labor (EFM), etc. Healthcare app developers often use machine learning techniques for pattern recognition when designing risk assessment apps.

Doctor-on-demand/Telemedicine Apps

Telemedicine apps commonly known as “doctor-on-demand” provide patients the convenience of receiving doctor consultations as well as treatment from the comfort of their homes or offices. Patients can choose from a wide range of practitioners, book appointments, attend the consultation session via video conferencing, and make payments using an integrated payment gateway. Some special features of telemedicine apps include:

A two-way video connection between patients and doctors

Virtual waiting rooms that track the patients’ waiting time and allow them to gather the required information prior to consultation

Options that provide patients the feel of attending offline appointments including EHR, in-built messaging, e-Prescriptions, etc.

Healthcare Reference and Database Apps

Such applications keep doctors informed about the most recent healthcare information concerning diseases, medical conditions, symptoms about diseases, medications, etc.

Clinical Communication Apps

These apps facilitate communication with clinical specialists in a healthcare facility and thereby improve the process of clinical decision-making. The features include messaging, voice chatting, file sharing, and maintaining EHR systems. Some examples are sending PACS and Lab results to doctors, EHR integration for editing patients’ records in real-time, and storing files on a cloud-based platform like AWS, Google Cloud, Microsoft Azure, etc.

Lifestyle and Fitness Apps

These apps are a blend of daily tips on healthcare and fitness, diet, nutrition, exercises, and training/courses for improving an individual’s well-being and state of mind. These apps also track sleep patterns and assist in practicing mindfulness.

Healthcare Mobile App Development: Major Strategies

Identify a Unique Selling Point

The mobile app market is flooded with various outstanding solutions. Therefore, the healthcare app you have envisioned wouldn’t taste success unless it has a unique selling point. For this reason, you need to:

Conduct a thorough market analysis of the existing apps to identify the gaps that can be filled and the specific features that will provide additional value to your application.

Analyze your target audience to figure out their pain areas and comprehend their requirements; so that you can develop a customized medical app solution that suits their needs.

Carry out competitor analysis to gauge the minimum benchmark required to succeed and spot the mistakes they have committed.

Having a word with the stakeholders of the healthcare industry such as doctors, patients, nurses, paramedical staff, etc. will provide insights on creating an end-product that is effective, practically handy, and genuinely helpful.

Adopt an Omnichannel Strategy

The following perplexing questions should pop up before you commence the development process.

Which device is most suitable for the app – a smartphone or a tablet?

Which platform to pick – Android, iOS, or both?

Is there any need to activate the app/website with Google Assistant or Siri?

Would in-person interactions utilizing the camera prove more beneficial for the app?

Well, before you decide on the ideal blend of touch-points for your app, you must consider certain factors. We are living in an omnichannel world wherein digital users do not interact with an organization using only one channel, and so adopting a multi-touch-point strategy will work.

However, your touch-point strategy depends upon the preferences of your targeted audience as well. This is because the preferences of users belonging to different age groups are not the same. For instance, elderly consumers mostly prefer either a tablet or a website, whereas the youngsters are likely to interact with your healthcare solution using a mobile app and voice assistants like Google Home Skill or Alexa.

Opt for the MVP-first approach

Another crucial decision is choosing the right approach – “Whether to create a full-fledged app at one go or build an MVP first and then gradually add features through updated versions?” Developing a feature-packed healthcare app may sound like a lucrative option, but for expediting the success of the app, the MVP-first approach is good to go with.

An MVP refers to the most basic version including all the essential features. The MVP-first approach is profitable because it speeds up the time-to-market. Furthermore, you get an opportunity to validate your app idea and can utilize user feedback to add the right set of features incrementally, thereby adding value to your product.

Integrations and APIs

For promoting interoperability, it is necessary to integrate your app with EMRs and EHRs. Additionally, integration with fitness and healthcare wearables and utilization of AI algorithms for obtaining actionable and insightful inferences based on the collected data works wonders for optimizing healthcare outcomes. For this reason, you must ensure whether the corresponding APIs are available for commercial usage and if there is any need to open source your code after you use them.

Adhere to HIPAA and HITECH regulations

For making your healthcare app HIPAA compliant, you need to adhere to the HIPAA Privacy Rule and the HIPAA Security Rule.

HIPAA Privacy Rule sets national standards in the United States for protecting the health records of individuals as well as their personal healthcare information including medical clearinghouses, health plans, etc., and the medical providers conducting healthcare transactions electronically. This rule limits the usage and disclosure of patient information without their authorization, provides patients the right to obtain a copy of their medical data and request corrections, etc.

As per the HIPAA Security Rule, apt technical, physical, and administrative standards have to be maintained for ensuring the security, confidentiality, and integrity of electronic medical data.

HITECH, the Health Information Technology for Economic and Clinical Health Act, mandates the adoption and meaningful utilization of health information technology in mHealth apps. It addresses the safety and privacy concerns related to the electronic submission of medical information and facilitates the civil and criminal enforcement of HIPAA regulations.

Conduct Extensive Testing

Healthcare apps require rigorous testing to ensure the creation of an impeccable end-product. This is because the bar for accuracy, quality, safety, and security is considerably high; and your app must conform to the highest standards of quality assurance before you publish it on the app store. Check out the standardized testing approach all medical app testers need to follow.

To ensure confidentiality and privacy of healthcare data, set up stern authorization and access control measures within the app. This way the data will be delivered to only the intended recipients.

Medical data being a soft target for hackers, testers need to identify and get rid of all areas of vulnerability. So, encrypt data via a transport layer security to enable data validation within the app.

A usability test is crucial as even a minor error can lead to clinical issues and adversely impact the app’s overall outcome.

Test the app against high load and performance benchmarks as ready access to patients’ data has to be provided whenever needed.

Plan App Monetization Strategies

Take a look at the commonest app monetizing strategies.

Offering free trials to users in case of paid apps

Adopting the models of in-app purchases and subscription

Generating revenue via advertisements and medicine sales

Final Verdict:

I hope this post has enlightened you about the key areas you need to watch out for while developing a disruptive healthcare mobile app. Contact us for further queries.

If you have already built a fully functional Healthcare application, let us know your experiences in the comments section below.

To know more about our core technologies, refer to links below:

RoR App Development

Java App Development

Swift App Development

[aws-online-training1212]

AWS Online Training

Rainbow Training Institute provides the Best AWS Online Training. We are Offering AWS(Amazon Web Services) Course Online training And AWS Online Training in Hyderabad. Are you ready to build your future on the AWS Cloud? Let's Get Started. Complete Suite of AWS training videos.

AWS Training and Certification causes you assemble and approve your cloud abilities so you can get progressively out of the cloud. ... Regardless of whether you are simply beginning, expanding on existing IT abilities, or honing your cloud information, AWS Training and Certification can assist you with being progressively compelling and accomplish more in the cloud.

Sorts of AWS affirmations

AWS offers six distinct affirmations, assembled into four fundamental ways - Cloud Practitioner, Architect, Developer, and Operations - and extra subpaths. There is additionally a Specialty Path, partitioned into five subpaths.

Cloud Practitioner Path

This accreditation way is planned for people who are hoping to construct and approve by and large comprehension of the AWS cloud. This way is helpful for people in specialized, administrative, deals, buying or money related jobs who work with the AWS cloud.

Modeler Path

This way is intended for arrangements modelers, arrangement configuration specialists and any individual who needs to figure out how to structure applications and frameworks on AWS. There are two designer subpaths:

AWS Certified Solutions Architect - Associate: For this affirmation level, the understudy must exhibit information on the best way to configuration, oversee and circulate applications related to AWS instruments. These IT geniuses must have the option to plan and convey exceptionally accessible and versatile frameworks in AWS, just as appropriate security, calamity recuperation (DR) and investigating ideas. The accreditation suggests IT professionals have one year or a greater amount of hands-on experience planning and conveying exceptionally accessible and deficiency lenient AWS frameworks.

AWS Certified Solutions Architect - Professional: For this confirmation level, it's an essential to finish the Associate-level AWS Certified Solutions Architect accreditation test and have two years or more experience planning and conveying of AWS cloud designs. IT experts must show information on complex AWS applications, including how to move applications to AWS, enhance AWS engineering for an endeavor and apply application configuration best practices.

Engineer Path

This accreditation is intended for programming engineers who need to figure out how to create cloud applications on AWS. There are two engineer subpaths:

AWS Certified Developer - Associate: IT aces must demonstrate code-level information for AWS application structure, advancement and support, alongside an exhaustive information on the AWS design. The accreditation suggests having one year-in addition to of involvement with keeping up AWS-based applications.

AWS Certified DevOps Engineer - Professional: This affirmation necessitates that candidates contend the Associate-level AWS Certified Developer or AWS Certified SysOps Administrator accreditation tests and have at least two years of experience provisioning and overseeing AWS structures. Understudies must fathom explicit ideas including persistent organization (CD) and robotization of AWS procedures and ability to actualize them into AWS structures.

Activities Path

There are two subpaths are intended for sysops managers, frameworks chairmen and those in a DevOps job who need to figure out how to make automatable and repeatable arrangements of uses, systems and frameworks on the AWS stage.

AWS Certified SysOps Administrator - Associate: Provide information on arrangement and tasks identified with AWS engineering and administrations, including application organization and information movement; understudies likewise have essential framework executive abilities in security, provisioning and frameworks the executives. The confirmation suggests one year or a greater amount of involvement in AWS framework activities.

AWS Certified DevOps Engineer - Professional: This confirmation necessitates that candidates contend the Associate-level AWS Certified Developer or AWS Certified SysOps Administrator affirmation tests and have at least two years of experience provisioning and overseeing AWS structures. Understudies must grasp explicit ideas including nonstop arrangement (CD) and computerization of AWS procedures and expertise to execute them into AWS structures.

Strength Path

AWS likewise offers five strength affirmations in specialized regions. The five subpaths are:

AWS Certified Big Data - Specialty: Requires at any rate one Associate-level accreditation, five years of information examination experience and a foundation in AWS enormous information devices and engineering plan. Understudies must affirm specialized and experiential abilities with respect to enormous information engineering plan, execution and mechanization utilizing AWS devices and best practices.

AWS Certified Advanced Networking - Specialty: Requires in any event one Associate-level accreditation, five years of information investigation experience and a foundation in AWS organizing. Understudies must exhibit a propelled information in arrange engineering over all AWS devices and administrations; mechanization of system procedures; and information to configuration, create and send administrations in the AWS cloud.

AWS Certified Security - Specialty: AWS Certified Security is expected for people who play out a security job with at any rate two years of hands-on experience making sure about AWS outstanding tasks at hand. Authentication holders can illustrate:

Information on particular information orders and AWS information insurance systems

Comprehension of information encryption strategies and AWS systems to actualize them

Information on secure Internet conventions and AWS systems to actualize them

A working information on AWS security administrations and highlights of administrations to give a protected creation condition

Competency picked up from at least two years of creation organization experience utilizing AWS security administrations and highlights

Capacity to settle on tradeoff choices as to cost, security and arrangement multifaceted nature given a lot of utilization necessities

Comprehension of security activities and hazard

AWS Certified Machine Learning - Specialty: Developers, information researchers, information stage designers and business chiefs can utilize this preparation to figure out how to apply AI (ML), man-made reasoning (AI), and profound figuring out how to their organizations opening new bits of knowledge and worth.

AWS Certified Alexa Skill Building - Specialty: Certification is expected for people who play out a job as an Alexa ability manufacturer. It approves an up-and-comer's capacity to manufacture, test and distribute Amazon Alexa abilities. Authentication holders are required to have the option to:

Clarify the estimation of voice

Structure the client experience (UX)

Structure the engineering to construct the expertise

Follow AWS and Alexa security best practices for the ability

Create, test, approve and investigate the aptitude

Deal with the ability distributing procedure and work with the Alexa Developer Console

Oversee ability tasks and life cycles

[promarketo-blog]

Digital Marketing For NLP Practitioners

Neuro-Linguistic Programming is important in any everyday issue, Since one of its principle centers is around correspondence, preparing in Neuro-Linguistic Programming (NLP), which is something that can enable professional, personal and business to make things smoothly working way to build their dimension of affinity with their clients. Promarketo has done it for many NLP Practitioners and that’s what we added Digital marketing Services for Neuro-linguistic programming Practitioners in our portfolio to help them promote the rules that transform any human being into an all the more dominant, certain and adaptable communicator.

Science fiction is reasonably accurate when you start listing all the technological foresight of sci-fi movies. This foresight has now become into ordinary household stuff in today’s world. The most common trait that all of these tech prophecies have is the ambition to make machines more human-like. It has continuously been worked to train machines so that they could learn from their experiences and do as needed in the forthcoming situations.

As it is known that Siri and Alexa are talking their way into humans lives, we are talking to machines that have Artificial Intelligence capabilities. And they strive to give intelligent answers for any and every situation. Artificial Intelligence is impacting the lives of human beings on a large scale. People widely accept it than the developers and initiators expected it. Artificial Intelligence is supporting computers to understand one of the most complex hurdles for communications for scientists. AI is providing aid to the understanding of the human voices and its numerous social text, dialects, meanings and semantics.

Neuro-linguistic programming (NLP) is an advent to personal development, communication, and psychotherapy that was first created by Richard Bandler and John Grinder in the late 70s. IF you have close roots to NLP, then you have a good chance of reading or hearing the teachings of Tony Robbin. Tony Robbin proposed a broader and less theoretic perspective of NLP that gained great resonance with a general audience.

Neuro-Linguistic Programming (NLP) is a part of Artificial Intelligence that is based on the studying of computers learning and interpreting in the language we speak that is our natural language. NLP has a bright future that is predicted to be worth 16.07 billion USD in the market of 2021. One question that arises is why digital marketing enterprises are betting all of their money on NLP to enhance their strategies.

Richard Bandler and John Grinder developed NLP for therapeutic purpose.

As soon it caught people’s attention it is since then applied to many fields including education, therapy, business, advertising and so on.

Neuro-linguistic Programming is the study of the human mind and the language that the human mind understands. Our brains are a small meaning-making machine. That means we have a habit of deriving meaning from the events that are happening around us. This understanding of things helps us to learn and relearn things that interest us and lets us make excellence in the choice of our field.

In the work-life context, NLP helps us in achieving consistency, which puts us in the spiral of success and develops a stable ground for all personal and professional development. Change is the only visible thing in this world. Every change causes complexity. And to deal with this complexity, the solution should be flexible. NLP helps you attain flexibility in your work ethics by sensing the same situation from different perspectives. When change occurs, everything becomes chaotic. There are special skills needed to craft responses to solve this chaos. The real power is in the hand of Digital Marketing for NLP Experts.

Basically, Neuro-Linguistic Programming is an order that breaks down people’s impression of the world with the objective of making individuals increasingly fruitful. NLP underscores both verbal and non-verbal correspondence. NLP key hypotheses is that individuals think and convey what needs be in various ways and that the way to powerful correspondence is to comprehend the manners in which they do this.

There is, normally, significantly increasingly one could find out about NLP’s hypotheses and techniques; improving as a communicator is just a single aspect of this field of study. In any case, NLP’s attention on correspondence is essential and something of which sales reps ought to know.

NLP is plainly important to one-on-one deals associations, however, it additionally is material to different territories of promoting, for example, publicizing. While it is simpler to perceive how to pitch to a specific individual when addressing that person separately, promoters are looked with the more troublesome assignment of focusing on a mass of individuals on the double. Therefore, numerous sponsors have disregarded how NLP may profit their promoting efforts.

Obviously, while focusing on various gatherings of individuals, it is as yet critical to be vital. The minor nearness of pictures or words in a showcasing effort won’t be sufficient to make individuals need to purchase your item. The key is to perceive which pictures or words will inspire the response you’re endeavoring to accomplish, contingent upon the kind of client you’re focusing on.

We all respond to circumstances and make decisions at an intuitive dimension. Advertisers, regardless of whether they are salesmen or sponsors, would do well to expand their abilities in non-verbal correspondence and in seeing individuals’ presuppositions.

NLP is unmistakably pertinent to one-on-one deals connections, yet it additionally is appropriate to different zones of showcasing, for example, publicizing. While it is simpler to perceive how to pitch to a specific individual when addressing the person in question exclusively, publicists are looked with the more troublesome undertaking of focusing on a mass of individuals on the double. Subsequently, numerous publicists have neglected how NLP may profit their advertising efforts.

NLP has all things considered rising as a real field of concentrate as researchers are leading insightful undeniable research. Furthermore, despite the fact that one scholastic examination found that numerous techniques being utilized to assess clients’ choices are insufficient, the investigation additionally shown that neuromarketing did in certainty work.

Preparing the word or verbally expressed depends intensely on Big Data investigation, huge measures of organized, unstructured and semi-organized information that can be dug for helpful data. PCs can rapidly experience the crude information, break down it, and discover example and patterns. Basically, Digital marketing services for NLP Consultant depended on fundamental standards where machines utilizing calculations were advised what expressions and words to search for in content and after that encouraged explicit reactions when the expressions showed up. It has developed into profound learning, an adaptable, progressively programmed technique in which calculations are utilized to show a machine to recognize a speaker’s expectation from a progression of models.

In the advancement of NLP, calculations have been generally awful at translating. Notwithstanding, presently with upgrades in profound learning and Artificial Intelligence, calculations can now effectively decipher.

Relating NLP to digital marketing

Whenever any information reaches our brain, our brain gives it meaning and forms a subjective experience of the whole world. This is our representation and perception of the information that enters our mind. NLP explains this procedure to understand personal experiences by how we target our audience’s representational system.

Your representational system is how Digital Marketing for NLP Professionals describes the world by your five senses. Here is the thing. Before any processing or reporting, our brain collects information and configures it. This configuration, in turn, happens with all the subjective experiences of your lives. In digital marketing, the same is the case; we try to influence this configuration. The better a digital marketer understands the mind of the group of people or its target audience, the more you can persuade them to buy your product or service. The deeper your trust is, the more you the digital marketer will grow. Representational systems and modalities can enhance your way of understanding your audience and hence designing a stable ad strategy.

The charm of NLP

NLP was traditionally enforced for the defence and crime investigation. Nowadays, we use it to convert text to speech. The email you use regularly is outfitted with spam filters that are capable of understanding the headings of the subject and filtering them out. But it is not all.

NLP has become a magical looking glass that lets digital marketers keenly analyse their customers to extract their qualitative customer penetrations. Imagine you are talking about a gadget that you just brought, and the AI senses your sentiments towards the device by just listening or reading your comments. Fascinating, isn’t it? NLP thus is a potent tool that helps digital marketers to see customer data in a new light.

Digital marketers are reading between the lines

NLP, when integrated with machine learning, allows digital marketers to analyse the content of customers at the micro-level. There are ample of NLP techniques that you can choose from to lure the audience into utilizing your digital content.

For instance, there is a thing called sentiment analysis on social media for a brand or a Social Media Marketing Service that is broadly use NLP features. This technology makes use of the factors like the sentiments and the volumes of mentions that are, in turn, used to deduce the emotional value of the brand on social media sites.

Digital marketers hence see this like gold. A positive or even a negative sentiment that is drawn on the social media post helps them to target the audience more efficiently.

Nowadays, the latest NLP tools can extract social handles of people that have shown interest in their particular brand on their social media platform. NLP technology analyses tons of raw and unambiguous data of customers that derive meaningful insights.

If you are thinking about seeking a digital marketing course, you have to include NLP as a part as it will enhance your skillset. It will surely broaden your thinking and make way to understand a customer’s psychology indeed.

Talk of the future

Is it surprising or creepy that the accuracy of ad contents you seeing daily on your screens? Digital marketers do not even have to meet you at all to know about your perspective on their brand. The value of Digital Marketing For NLP trainers is going to the peak as more and more disordered customer data keeps flowing in from different devices.

Digital Marketing for NLP Practitioners is in high demand in industries like healthcare, customer experience enrichment, data analytics, innovative start-ups and e-commerce. There are short term courses available online for NLP to set your career on a path to enhance the next technological wave that this industry will face.

NLP teaches a lot of things to digital marketers and entrepreneurs. Some of the things are mentioned below:

We can learn how to speak the target audiences’ language.

We can quickly identify the audible, visual, and digital kinaesthetic.

Understand the target audiences’ subjective experiences and efficiently make them feel and experience specific events.

Quickly builds rapport and therefore, trust for advice products and solutions.

NLP for digital marketing and its trainers works in a similar way we as a child would work for our wishes to be accomplished. We would obsess over it till we got the things we wish for. NLP allows the trainers to obsess over their target audience until they achieve their trust.

Final words

Digital marketing is an excellent platform for NLP trainers. It has opened new paths for digital marketers and NLP trainers. This is a boon that has been granted to digital marketing systems. NLP trainers yet can handle the digital marketing very efficiently. Neuro programming language senses the needs of the customers and helps in marketing your brand and service efficiently. Through this technology, digital marketing has boomed the business market. Digital marketing for NLP experts is where the experts can perform and enhance their skills learnt from their pieces of training. They can practically use their strategies and skills to improve digital marketing for various brands and products.

NLP can be termed as a hypnotic skill that persuades its customers in knowing them and their needs and enhancing your product accordingly. NLP is flexible in its working. It works by either listening to or reading the comments of the customers. It targets its audience accordingly and markets the brand by the ads and performing Search Engine Optimizations to show you the site on top of your search result.

All in all, NLP has started transforming digital marketing on a considerable scale. There are certification and full-time courses for training in NLP. There are many career options as NLP expert, NLP practitioner and NLP trainer. These jobs have a high demand in the field of digital marketing. As the world is technologically enhancing, so, digital marketing strategies should improve equally well. Digital marketing strategies in today’s era work on NLP only. The digital world widely accepts NLP. The professionals trained in NLP are in massive need in businesses that are based on digital marketing.

[roseacisco]

Microsoft makes a push to simplify machine learning

Ahead of its Build conference, Microsoft today released a slew of new machine learning products and tweaks to some of its existing services. These range from no-code tools to hosted notebooks, with a number of new APIs and other services in-between. The core theme, here, though, is that Microsoft is continuing its strategy of democratizing access to AI.

Ahead of the release, I sat down with Microsoft’s Eric Boyd, the company’s corporate vice president of its AI platform, to discuss Microsoft’s take on this space, where it competes heavily with the likes of Google and AWS, as well as numerous, often more specialized startups. And to some degree, the actual machine learning technologies have become table stakes. Everybody now offers pre-trained models, open-source tools and the platforms to train, build and deploy models. If one company doesn’t have pre-trained models for some use cases that its competitors support, it’s only a matter of time before it will. It’s the auxiliary services and the overall developer experience, though, where companies like Microsoft, with its long history of developing these tools, can differentiate themselves.

Microsoft’s Eric Boyd

“AI is really impacting the way the world does business,” Boyd said. “We see 75% of commercial enterprises are doing more with AI in the next several years. It’s tripled in the last couple years, according to Gartner. And so, we’re really seeing an explosion in the amount of work that’s coming from there. As people are driving this forward, as companies are driving this forward, developers are on the front lines, trying to figure out how to move their companies forward, how to build these models and how to build these applications, and help scale with all the changes that are moving through this.”

What these companies — and their developers — need is more powerful tools that allow them to become more productive and build their models faster. At Microsoft, where these companies are often large enterprises, that also includes being able to scale up to the needs of an enterprise and offer the security guarantees they need.

As companies start adopting machine learning, though, they are now also getting to a point where they have moved from a few tests to maybe running a hundred models in production. That comes with its own challenges. “They are trying to figure out how to manage the life cycle of these models,” he said. “How do I think of the operational cycle? How do I think about a new model that I’m ready to deploy? When is it ready to go?”

Only a few years ago, the industry started moving to a DevOps model for managing code. What Microsoft essentially wants to move to is MLOps for managing models. “It’s very similar to DevOps, but there’s some distinct differences in terms of how the tools operate,” Boyd noted. “At Microsoft, we’re really focusing on how do we solve these problems to make developers way more productive, using these enterprise tools to drive these changes that they need across their organization.” This means thinking about how to bring concepts like source control and continuous development to machine learning models, for example, and that will take new tools.

It’s no surprise then that adding more MLOps capabilities is a major part of today’s releases. The company is integrating some of these functions into Azure DevOps, for example, that allows them to trigger release pipelines. The company is also giving developers and data scientists tools for model version control, for example, to track and manage their assets and to share machine learning pipelines.

These are very much tools for advanced machine learning practitioners, though. On the other side of the spectrum, Microsoft also announced a number of automated machine learning tools, including one that essentially automates all of the processes, as well as a visual model builder, which grew out of the Azure ML Studio. As Boyd told me, even companies like British Petroleum and Oregon’s Deschutes Brewery (try their Black Butte Porter if you get a chance) now use these tools.

“We’ve added a bunch of features into automated machine learning to simplify how people are trying to use this kind of work,” Boyd noted.

Microsoft today also launched a number of new services in its Cognitive Services lineup, including a new personalization service, an API for recognizing handwriting and another one for transcribing conversations with multiple speakers. The personalization service stands out here because it uses reinforcement learning, a different machine learning technique from most other Cognitive Services tools, and because it is far easier to implement than similar services. For business users, there’s also the Form Recognizer, which makes extracting data from forms easy.

What’s more interesting that the specific features, though, is that Microsoft is shifting its emphasis here a little bit. “We’re moving away from some of the first-level problems of ‘here’s the table stakes, you have to have an AI platform,’ to much more sophisticated use cases around the operations of these algorithms, the simplification of them, new user experiences to really simplify how developers work and much richer cognitive services,” Boyd explained.

[sandlerresearch]

Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026 published on

https://www.sandlerresearch.org/artificial-intelligence-in-healthcare-market-with-covid-19-impact-analysis-by-offering-hardware-software-services-technology-machine-learning-nlp-context-aware-computing-computer-vision-end.html

Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026

“AI in healthcare market projected to grow at a CAGR of 44.9% from 2020 to 2026.”

The global AI in healthcare market is expected to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026; it is projected to grow at a CAGR of 44.9% during the forecast period. The major factors driving the growth of the market are the increasing volume of healthcare data and growing complexities of datasets, the intensifying need to reduce towering healthcare costs, improving computing power and declining hardware costs, growing number of cross-industry partnerships and collaborations, and rising imbalance between health workforce and patients driving the need for improvised healthcare services.

Another major driving factor fueling the market growth currently is the adoption of this technology by multiple pharmaceutical and biotechnology companies across the world to expedite vaccine or drug development processes for COVID-19. The major restraint for the market is the reluctance among medical practitioners to adopt AI-based technologies and lack of skilled workforce.

MPU processor segment expected to hold largest share in AI in healthcare in 2020

An MPU contains all or most of the CPU functions and is the engine that goes into motion when the computer is on. A microprocessor is specially designed to perform arithmetic and logic operations that use small number-holding areas called registers. Typical microprocessor operations include adding, subtracting, comparing two numbers, and fetching numbers. These operations are the result of a set of instructions that are part of the microprocessor design.

AI in healthcare market for machine learning projected to grow at highest CAGR during forecast period

Growing adoption of deep learning in various healthcare applications, especially in the areas of medical imaging, disease diagnostics, and drug discovery, and the use of different sensors and devices to track a patient’s health status in real time are supplementing the growth of the market.

Patient data & risk analysis segment to capture largest share of AI in healthcare market

The growth of the patient data & risk analysis segment is attributed to the increasing adoption of EMRs and various advantages offered by AI systems to healthcare service providers, patients, pharmaceuticals companies, and payers.

Breakdown of profiles of primary participants:

By Company Type: Tier 1 – 40%, Tier 2 – 25%, and Tier 3 – 35%

By Designation: C-level Executives – 45%, Directors – 25%, and Others – 30%

By Region: North America – 55%, Europe – 15%, Asia Pacific (APAC)– 20%, and the Rest of the World (RoW) – 10%

Major players in the AI in healthcare market are NVIDIA Corporation (NVIDIA) (US), Intel Corporation (Intel) (US), International Business Machines Corporation (IBM) (US), Google Inc. (Google) (US), Microsoft Corporation (Microsoft) (US), Amazon Web Services (an Amazon.com, Inc. subsidiary) (AWS) (US), General Vision, Inc. (US), General Electric (GE) Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US), Johnson & Johnson Services, Inc. (Johnson & Johnson) (US), and Koninklijke Philips N.V. (Netherlands).

Research Coverage:

The AI in healthcare market has been segmented based on offering, technology, end-use application, and end user. It also provides a detailed view of the market across 4 main regions: North America, Europe, APAC, and RoW.

Reasons to Buy the Report:

This report includes statistics pertaining to the AI in healthcare market based on offering, technology, end-use application, end user, and geography.

This report includes detailed information on major drivers, restraints, opportunities, and challenges pertaining to the AI in healthcare market.

The report includes illustrative segmentation, analysis, and forecast for the AI in healthcare market based on its segments and sub segments.