#Amazon AWS Training

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Amazon AWS training in Chandigarh The Core Systems' Amazon AWS training in Chandigarh Mohali is designed to help you simply grasp and master the topic. AWS is now the most popular web service on the cloud computing platform. Scalable Compute Cloud, Simple Storage, and Virtual Private Cloud are typical data and

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Amazon Redshift Courses Online | Amazon Redshift Certification Training

What is Amazon (AWS) Redshift? - Cloud Data Warehouse

Amazon Redshift is a fully managed cloud data warehouse service provided by Amazon Web Services (AWS). It is designed to handle large-scale data storage and analysis, making it a powerful tool for businesses looking to manage and analyse vast amounts of data efficiently. Amazon Redshift Courses Online

Key Features of Amazon Redshift

Scalability:

Redshift allows you to scale your data warehouse up or down based on your needs. You can start with a small amount of storage and expand as your data grows without significant downtime or complexity.

Performance:

Redshift uses columnar storage and advanced compression techniques, which optimize query performance. It also utilizes parallel processing, enabling faster query execution.

Fully Managed:

As a fully managed service, Redshift takes care of administrative tasks such as hardware provisioning, setup, configuration, monitoring, backups, and patching. This allows users to focus on their data and queries rather than maintenance.

Integration with AWS Services:

Redshift integrates seamlessly with other AWS services like Amazon S3 (for storage), Amazon RDS (for relational databases), Amazon EMR (for big data processing), and Amazon Quick Sight (for business intelligence and visualization).

Security:

Redshift provides robust security features, including encryption at rest and in transit, VPC (Virtual Private Cloud) for network isolation, and IAM (Identity and Access Management) for fine-grained access control.

Cost-Effective:

Redshift offers a pay-as-you-go pricing model and reserved instance pricing, which can significantly reduce costs. Users only pay for the resources they use, and the reserved instance option provides discounts for longer-term commitments. Amazon Redshift Certification

Advanced Query Features:

Redshift supports complex queries and joins, window functions, and nested queries. It is compatible with standard SQL, making it accessible for users familiar with SQL-based querying.

Data Sharing:

Redshift allows data sharing between different Redshift clusters without the need to copy or move data, enabling seamless collaboration and data access across teams and departments.

Use Cases for Amazon Redshift

Business Intelligence and Reporting: Companies use Redshift to run complex queries and generate reports that provide insights into business operations and performance.

Data Warehousing: Redshift serves as a central repository where data from various sources can be consolidated, stored, and analysed.

Big Data Analytics: Redshift can handle petabyte-scale data analytics, making it suitable for big data applications.

ETL Processes: Redshift is often used in ETL (Extract, Transform, and Load) processes to clean, transform, and load data into the warehouse for further analysis.

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AWS Training at IntelliMindz: Elevate Your Cloud Expertise

Overview

IntelliMindz offers comprehensive AWS (Amazon Web Services) training designed to equip individuals with the skills and knowledge necessary to excel in cloud computing. AWS is the leading cloud platform, providing a wide range of services from computing power to storage solutions. IntelliMindz's training programs cater to various experience levels, from beginners to advanced professionals, ensuring that each participant can master AWS effectively.

Key Features

Expert Instructors:

IntelliMindz prides itself on its team of certified AWS professionals with extensive industry experience. Instructors bring real-world insights to the classroom, enhancing the learning experience.

Hands-on Training:

The curriculum is designed to be practical and hands-on. Participants engage in numerous labs and projects that simulate real-world scenarios, ensuring they can apply what they learn directly to their work environments.

Comprehensive Curriculum:

The training covers a wide range of AWS services and topics, including:

EC2 (Elastic Compute Cloud)

S3 (Simple Storage Service)

RDS (Relational Database Service)

VPC (Virtual Private Cloud)

IAM (Identity and Access Management)

Lambda and other serverless computing options

Advanced topics such as architecture design, security best practices, and cost optimization are also included.

Certification Preparation:

IntelliMindz’s training is aligned with AWS certification exams. The courses are tailored to help participants pass various AWS certifications, such as:

AWS Certified Solutions Architect

AWS Certified Developer

AWS Certified SysOps Administrator

AWS Certified DevOps Engineer

Flexible Learning Options:

To cater to different learning needs, IntelliMindz offers various modes of learning:

Classroom Training: For those who prefer face-to-face interaction.

Online Training: Live, instructor-led sessions that can be attended from anywhere.

Self-Paced Learning: Recorded sessions and materials for those who prefer learning at their own pace.

Job Assistance:

IntelliMindz provides job assistance to help participants transition into AWS-related roles. This includes resume building, interview preparation, and connecting with industry recruiters.

Why Choose IntelliMindz?

Proven Track Record: IntelliMindz has successfully trained numerous professionals who have gone on to secure lucrative positions in the cloud computing industry.

Interactive Learning Environment: Emphasis on interactive and engaging sessions to foster a deeper understanding of AWS concepts.

Up-to-date Curriculum: Continuous updates to the curriculum ensure that training materials are aligned with the latest AWS services and best practices.

Community and Support: Access to a community of learners and AWS professionals for networking and continuous learning.

Conclusion

AWS training at IntelliMindz is an excellent choice for anyone looking to build or enhance their cloud computing skills. With expert instructors, a comprehensive curriculum, and flexible learning options, IntelliMindz ensures that participants are well-prepared to tackle the challenges of modern cloud environments and achieve AWS certification success.

[jcmarchi]

Amazon Web Services positions for AI revolution in space

New Post has been published on https://thedigitalinsider.com/amazon-web-services-positions-for-ai-revolution-in-space/

Amazon Web Services positions for AI revolution in space

Amazon Web Services (AWS) is strategically positioning its cloud infrastructure business to capitalize on the transformative potential of generative artificial intelligence (AI) across various industries, including space.

According to Clint Crosier, AWS director of aerospace and satellite, over 60% of the company’s space and aerospace customers are already integrating AI into their operations, a significant increase from single digits just three years ago.

Predicting growth in generative AI

Crosier anticipates similar growth for generative AI in the space sector over the next few years. Generative AI employs deep-learning models to answer questions or create content based on patterns identified in extensive datasets, representing a substantial advancement over traditional machine-learning algorithms.

Crosier told SpaceNews in an interview that mathematical advancements, an explosion of available data, and more affordable, efficient processing chips create a “perfect storm” for the rise of generative AI, driving greater adoption of cloud-based applications.

AWS’s internal reorganization

“In the last year, AWS has fundamentally reorganized itself internally to place the right teams and organizational structure in place so that we can really double down on generative AI,” Crosier said.

AWS has established a “generative AI for space” cell comprising a small team that engages with cloud customers to develop next-generation capabilities. These efforts include a generative AI laboratory where customers can experiment with new uses of these emerging technologies.

Key areas of application

Crosier identifies three primary areas for using generative AI in space: geospatial analytics, spacecraft design, and constellation management. Earth observation satellite operators like BlackSky and Capella Space leverage AI extensively to derive more insights from their geospatial data, although they have not fully embraced generative AI.

In the manufacturing sector, engineers are exploring how generative AI models, informed by design parameters, could produce innovative concepts by drawing on potentially overlooked data from other industries, such as automotive.

“Whether you’re designing a satellite, rocket, or spacecraft, generative AI can explore global data spanning decades and provide novel design concepts for your team to refine,” Crosier said.

Enhancing constellation management

Generative AI also promises to help operators manage increasingly crowded orbits by simulating various testing scenarios.

“If I have a constellation of 600 satellites, generative AI can model numerous scenarios to determine the top 25 cases for optimal design, saving time and money,” Crosier explained.

AWS’s initiatives to accelerate the adoption of emerging computing capabilities include scholarships and a commitment announced in November to provide free AI training to two million people worldwide by the end of 2025.

Want more about AI in space? Read the article below:

4 uses of computer vision in space exploration

Both computer vision and deep learning can work together towards it, with computer vision algorithms capable of further improving autonomous performance.

Like what you see? Then check out tonnes more.

From exclusive content by industry experts and an ever-increasing bank of real world use cases, to 80+ deep-dive summit presentations, our membership plans are packed with awesome AI resources.

Subscribe now

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Machine Learning on Microservices Architecture with AWS-Building Scalable Applications

Leveraging machine learning within a microservices architecture on AWS allows for the creation of scalable and efficient applications. AWS offers a comprehensive suite of services to seamlessly integrate machine learning capabilities into microservices-based applications. By breaking down the application into independently deployable microservices, each responsible for a specific business function, developers can enhance flexibility, maintainability, and scalability.

Amazon SageMaker, an AWS machine learning service, facilitates the training and deployment of machine learning models at scale. This allows microservices to incorporate predictive analytics, recommendation systems, or other intelligent features. The serverless computing paradigm, exemplified by AWS Lambda, complements microservices by enabling event-driven, cost-effective, and scalable execution of code.

Containerization services like Amazon ECS or Kubernetes on AWS further enhance the deployment and management of microservices, providing consistency across development, testing, and production environments. AWS Step Functions can orchestrate complex workflows, connecting microservices and machine learning components seamlessly.

Overall, combining microservices architecture with AWS's machine learning and cloud computing capabilities empowers developers to build scalable applications that efficiently harness the benefits of artificial intelligence while maintaining the agility and responsiveness inherent in microservices-based systems.

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How to Advance Your Career with AWS Certifications

In the fast-paced world of cloud computing, Amazon Web Services (AWS) has established itself as a leader in providing scalable, reliable, and cost-effective cloud solutions. As organizations increasingly migrate their workloads to the cloud, the demand for skilled AWS professionals has surged. If you're looking to advance your career in the IT industry, AWS certifications can be your ticket to success. We'll explore how AWS certifications can propel your career forward and provide a step-by-step guide to achieving them.

The Power of AWS Certifications

AWS certifications are widely recognized in the IT industry and are considered a valuable asset for both newcomers and seasoned professionals. Here are some key reasons why AWS certifications can supercharge your career:

1. Industry Recognition

AWS is a trusted name in cloud computing, and their certifications are well-respected by employers worldwide. Holding an AWS certification demonstrates your expertise and commitment to staying current in a rapidly evolving field.

2. Career Advancement

AWS certifications can open doors to new job opportunities and promotions. Many organizations prefer to hire certified professionals because they are seen as more capable and knowledgeable in AWS technologies.

3. Increased Earning Potential

Certified AWS professionals often command higher salaries than their non-certified counterparts. According to a survey by Global Knowledge, AWS-certified individuals earn an average salary that is significantly above the industry average.

4. Skill Validation

Obtaining an AWS certification validates your skills and knowledge in specific AWS services and technologies. It serves as concrete evidence of your expertise in the eyes of potential employers.

Choosing the Right AWS Certification

AWS offers a wide range of certifications, catering to various roles and skill levels. Before you embark on your certification journey, it's essential to choose the one that aligns with your career goals and current experience. Here are a few popular AWS certifications:

1. AWS Certified Cloud Practitioner

Designed for individuals with little or no cloud experience, this entry-level certification provides a broad overview of AWS services, cloud concepts, and basic architectural best practices.

2. AWS Certified Solutions Architect

This certification is ideal for those interested in designing distributed systems on AWS. It covers topics like architectural best practices, security, and scalability.

3. AWS Certified SysOps Administrator

Focused on system operations and management, this certification is suitable for individuals responsible for deploying, managing, and operating systems on AWS.

4. AWS Certified DevOps Engineer

For those interested in automation, this certification validates skills related to continuous delivery, automation, and managing infrastructure as code.

5. AWS Certified Security - Specialty

For security professionals, this certification focuses on securing AWS workloads and implementing advanced security measures.

Steps to AWS Certification Success

Now that you've decided on the right certification, here are the steps to help you achieve your goal:

1. Set Clear Goals

Define your career goals and how AWS certifications align with them. Having a clear vision will keep you motivated throughout your certification journey.

2. Choose Relevant Training Resources

AWS provides extensive documentation and training resources, including online courses, practice exams, and official study guides. Consider enrolling in AWS Certified training courses, which are designed to help you prepare for the exams.

3. Hands-On Experience

Practice is key to mastering AWS. Create your AWS account and experiment with the services covered in your chosen certification. Hands-on experience will deepen your understanding and boost your confidence.

4. Study and Prepare

Devote time to study and review the certification's objectives. Use study guides, practice exams, and community forums to reinforce your knowledge.

5. Take Practice Exams

Practice exams are invaluable for gauging your readiness. They help you identify areas where you need to improve and build your test-taking skills.

6. Schedule and Take the Exam

Once you feel confident in your knowledge, schedule your exam. AWS offers both online and in-person testing options to accommodate your preferences.

7. Stay Informed

AWS constantly updates its services and certifications. Stay informed about changes and consider pursuing additional certifications to continue growing in your career.

Conclusion

AWS certifications have become a gold standard in the IT industry, and they offer an excellent opportunity to advance your career. Whether you're starting from scratch or looking to level up your skills, there's a certification tailored to your needs. Remember that certification is a journey, not a destination. Keep learning, stay updated, and embrace the dynamic world of AWS to unlock the full potential of your cloud computing career. With dedication and the right certifications, you can be on your way to a brighter and more rewarding future in the world of cloud computing.

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Everything you need to know about Amazon Web Services & What does AWS offers.

In today’s world of technology, we rely on the internet for many things. Whether it’s watching movies, shopping online, running a business, or storing lots of information, it’s all thanks to technology. But have you ever wondered how all of this works? One of the important parts of this technology is Amazon Web Services, or AWS. Let’s take a look at what AWS is, what it does, and why it’s important, using simple words.

What is AWS?

What does AWS offer?

AWS has lots of services and products to help with different computer needs. Here are some common ones:

1. Computer Services

Computer services are activities that support the implementation, maintenance, operation, cleaning and enhancement of a computer system. .Simply put, cloud computing is the delivery of computing services — including servers, storage, databases, networking, software, analytics, and intelligence — over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

2. Storage Services

It is the practice of using public cloud storage resources to store your data. Using STaaS is more cost efficient than building private storage infrastructure, especially when you can match data types to cloud storage offerings. Amazon, Microsoft and Google are the three largest public cloud storage providers.

3. Database Services

It is a cloud computing managed service offering that provides access to a database without requiring the setup of physical hardware, the installation of software or the need to configure the database. Most database administration and maintenance tasks are handled by the service provider, enabling users to quickly benefit from the database service.

4. Networking

AWS Direct Connect is a networking service that provides an alternative to using the internet to connect to AWS. Computer networking refers to interconnected computing devices that can exchange data and share resources with each other. These networked devices use a system of rules, called communications protocols, to transmit information over physical or wireless technologies.

5. Analytics and Machine Learning

Machine learning analytics is an entirely different process. Machine learning automates the entire data analysis workflow to provide deeper, faster, and more comprehensive insights. How does this work? Machine learning is a subset of AI that leverages algorithms to analyze vast amounts of data.

6. Security and Identity

AWS Identity and Access Management (IAM) Controls who can use your AWS stuff. It enables you to securely control access to AWS services and resources for your AWS users, groups, and roles. Using IAM, you can create and manage fine-grained access controls with permissions, specify who can access which services and resources, and under which conditions. AWS Key Management Service (KMS) keeps your data safe with secret codes.

7. Developer Tools :

Amazon Web Services (AWS) is like a super helpful toolset for both regular folks and businesses. It lets them use the internet and computers without having to deal with the hassle of buying and managing their own computer stuff. Think of it as the "tech magic" behind many of the apps and services we enjoy every day. It's like having a friend who takes care of all the complicated computer stuff so that we can use our favorite apps and websites without worrying about how they work. It makes our digital lives easier and more fun. To dive deeper into Amazon web services and unlock their full potential, consider reaching out to ACTE Technologies, a leading provider of certifications and job placement opportunities in the field of AWS. Their experienced staff can guide you on your journey to mastering this versatile tool.

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Amazon Cognito Authentication and Authorization | Cognito User Pool & Identity Pool Explained

Full Video Link https://youtube.com/shorts/plyv476pZmo Hi, a new #video on #aws #apigateway #cloud is published on #codeonedigest #youtube channel. @java #java #awscloud @awscloud #aws @AWSCloudIndia #Cloud #CloudComputing @YouTube #yo

Amazon Cognito is an identity platform for web and mobile apps. Today we will understand important features of Cognito. Userpool – Amazon Cognito user pool is a user directory. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito, or federate through a third-party Identity provider. Amazon Cognito user pool can be a standalone IdP. Amazon Cognito draws from…

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[jcmarchi]

NVIDIA’s GTC in Four Headlines

New Post has been published on https://thedigitalinsider.com/nvidias-gtc-in-four-headlines/

NVIDIA’s GTC in Four Headlines

Impressive AI hardware innovations and interesting software moves.

Created Using DALL-E

Next Week in The Sequence:

Edge 381: We start a new series about autonomous agents! We introdice the main concepts in agents and review the AGENTS framework from ETH Zurich. Additionally, we provide an overview of BabyAGI.

Edge 382: We review PromptBreeder, Google Deemind’s self-improving prompt technique.

You can subscribe below:

heSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: NVIDIA’s GTC in Four Headlines

I tried to resist making this weekend’s editorial about NVIDIA because I think you might have been inundated with headlines from the GTC conference. Unable to resist, I instead decided to present the four most impactful announcements in terms of ambition and market impact. If I have to summarize two key takeaways from NVIDIA’s AI announcements this week, they would be these:

NVIDIA is not only outgrowing but also out-innovating everyone else in AI compute hardware by a large margin.

NVIDIA’s software ambitions should be taken seriously.

To put that in context, here are four key announcements from this week’s GTC:

Blackwell GPU Series: NVIDIA unveiled the Blackwell B200 GPU, optimized for trillion-parameter models. The chip can improve LLM inference by up to 30x, which is quite remarkable.

NIM Microservices: My favorite announcement of GTC was the NIM platform, which delivers models optimized for inference and packaged as containers. NIM speeds up inference by using the Triton Inference Server, TensorRT, and TensorRT-LLM.

Project GR00T: I think the coolest and most ambitious announcement was Project GR00T, which focuses on developing foundation models for humanoid robots. The stack is based on multimodal models for video, audio, and language.

Distribution: An overlooked announcement during GTC was the impressive list of strategic alliances with top software companies like Microsoft, Google, Amazon, Dell, Oracle, and many others. NVIDIA is simply everywhere.

There were many additional announcements at GTC, but the aforementioned four are incredibly impactful. NVIDIA’s AI hardware dominance is unquestionable, but it’s quickly making inroads in the software space.

🔎 ML Research

Chronos

Amazon Science published a paper introducing Chronos, a family of pretrained foundation models for time series forecasting. Chronos models time-series data using the same techniques used by LLMs —> Read more.

Moirai

Salesforce Research also got into time series forecasting with foundation models with the publication of a paper detailing Moirai. The new model follows the paradigm of a universal forecasting model that can issues predictions across many domains and time scales —> Read more.

TacticAI

Google DeepMind published a paper detailing TacticAI, a model that can provide technical insights in football( soccer) plays, particularly corner kicks. The model uses geometric deep learning by generating possible reflections of a game situation including the player’s relationships —> Read more.

RAFT

Researcers from UC Berkely published a paper introducing retrieval-augmented fine-tuning(RAFT), a training technique that improves the ability of models to answer questions based on external data. Given a question, RAFT ignores the documents that are not relevant to formulagte the answer leading to more accurate outputs —> Read more.

Evolutionary Optimization and FM Model Merging

Researchers from Sakana AI published a paper that uses evolutionary optimization to merge foundation models. The technique attempts to harness the collective intelligence of different models to create more powerful foundation models —> Read more.

SceneScript

Meta AI Research published a paper detailing SceneScript, a method for reconstructing layouts of physical spaces. The technique can have profound implications in augmented reality scenarios that merge physical and virtual spaces —> Read more.

🤖 Cool AI Tech Releases

NVIDIA NIM

NVIDIA announced NIM, its cloud microservices endpoints for pretrained foundation models —> Read more.

Grok

Elon Musk’s xAI open sourced a version of its marque model Grok —> Read more.

Stable Video 3D

Stability AI released Stable Video 3D, an improved model that can generate 3D objects from text descriptions —> Read more.

🛠 Real World ML

AI Training Logging at Meta

Meta discusses Logarithm, their solution for AI training logging —> Read more.

GNNs at Pinterest

Pinterest details their use of graph neural networks(GNNs) for content understanding —> Read more.

RL at Lyft

Lyft discusses the architecture powering their internal reinforcement learning workloads —> Read more.

Cloud Monitoring at Microsoft

Microsoft discusses the AI used to monitor its Azure cloud services —> Read more.

📡AI Radar

NVIDIA unveiled plenty of AI hardware and software innovations at its GTC conference.

Reddit had a strong IPO debut fueled by AI data demands.

Apple is reportedly in conversations with Google to power IPhone AI features using Gemini.

On a surprising move, Microsoft hired Inflection co-founder Mustafa Suleyman and part of his team to lead its Copilot efforts.

After loosing several key people, Inflection announced a pivot into AI for business.

NVIDIA announced a series of AI partnerships with the world’s largest tech companies.

Databricks announced the acquisition of Lilac to improves its unstructure data preparation and analysis capabilities.

Astera Labs shares popped 70% in its IPO pushed by the demand of its AI data transfer features.

Roblox introduced new AI features for Avatar creation and texturing.

Anthropic, AWS and Accenture announced a strategic alliance to bring generative AI to enterprises.

ServiceNow released a new version of its Now platform for AI workflow automation.

Amazon and Snowflake announced a partnership to modernize data streaming pipelines.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

[cloudthat-training]

CloudThat is the world's leading training & Consulting services provider on Cloud, DevOps, Security, AI&ML, IoT, and Big Data for midsize and enterprise clients globally.

Mail us at sales@cloudthat.com

What you will learn:

Use the architectural principles of AWS to inform your selections.

Make your infrastructure scalable, dependable, secure, and highly available by using AWS services.

Learn how to manage AWS services to increase an infrastructure's adaptability and resilience.

To improve performance and cut expenses, figure out how to make an AWS-based infrastructure more efficient.

Apply the Well-Architected Framework to AWS applications to enhance architectures and much more

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Amazon AWS training in Chandigarh The Core Systems' Amazon AWS training in Chandigarh Mohali is designed to help you simply grasp and master the topic. AWS is now the most popular web service on the cloud computing platform. Scalable Compute Cloud, Simple Storage, and Virtual Private Cloud are typical data and

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Get a free demo on AWS training! Visit the AWS website and sign up for the free tier. Explore the cloud computing platform and try hands-on tutorials. Start learning today!

Visit our Website: www.sunshinelearning.in Contact Our Expert: +91 9310127274 Email Us: sunshinelearninginfo@gmail.com

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Amazon EC2 is a web service offered by AWS that provides resizable computing capacity in the cloud that can be used for a wide range of computing workloads.