#andrew ng prompt engineering

[businessiideahindi]

Prompt Engineering से पैसे कमाएँ |Unique way to earn money online..

Prompt Engineering : online सफलता के लिए प्रभावी Prompt डिज़ाइन करना | Online संचार के तेजी से विकसित हो रहे परिदृश्य में, Prompt Engineering एक महत्वपूर्ण कौशल के रूप में उभरी है, जो जुड़ाव बढ़ाने, बहुमूल्य जानकारी देने और यहां तक ​​कि डिजिटल इंटरैक्शन का मुद्रीकरण करने का मार्ग प्रशस्त कर रही है। यह लेख Prompt Engineering की दुनिया पर गहराई से प्रकाश डालता है, इसके महत्व, सीखने के सुलभ…

[mr-entj]

Hello Mr. ENTJ. I'm an ENTJ sp/so 3 woman in her early twenties with a similar story to yours (Asian immigrant with a chip on her shoulder, used going to university as a way to break generational cycles). I graduated last month and have managed to break into strategy consulting with a firm that specialises in AI. Given your insider view into AI and your experience also starting out as a consultant, I would love to hear about any insights you might have or advice you may have for someone in my position. I would also be happy to take this discussion to somewhere like Discord if you'd prefer not to share in public/would like more context on my situation. Thank you!

Insights for your career or insights on AI in general?

On management consulting as a career, check the #management consulting tag.

On being a consultant working in AI:

Develop a solid understanding of the technical foundation behind LLMs. You don’t need a computer science degree, but you should know how they’re built and what they can do. Without this knowledge, you won’t be able to apply them effectively to solve any real-world problems. A great starting point is deeplearning.ai by Andrew Ng: Fundamentals, Prompt Engineering, Fine Tuning

Know all the terminology and definitions. What's fine tuning? What's prompt engineering? What's a hallucination? Why do they happen? Here's a good starter guide.

Understand the difference between various models, not just in capabilities but also training, pricing, and usage trends. Great sources include Artificial Analysis and Hugging Face.

Keep up to date on the newest and hottest AI startups. Some are hype trash milking the AI gravy train but others have actual use cases. This will reveal unique and interesting use cases in addition to emerging capabilities. Example: Forbes List.

On the industry of AI:

It's here to stay. You can't put the genie back in the bottle (for anyone reading this who's still a skeptic).

AI will eliminate certain jobs that are easily automated (ex: quality assurance engineers) but also create new ones or make existing ones more important and in-demand (ex: prompt engineers, machine learning engineers, etc.)

The most valuable career paths will be the ones that deal with human interaction, connection, and communication. Soft skills are more important than ever because technical tasks can be offloaded to AI. As Sam Altman once told me in a meeting: "English is the new coding language."

Open source models will win (Llama, Mistral, Deep Seek) because closed source models don't have a moat. Pick the cheapest model because they're all similarly capable.

The money is in the compute, not the models -- AI chips, AI infrastructure, etc. are a scarce resource and the new oil. This is why OpenAI ($150 billion valuation) is only 5% the value of NVIDIA (a $3 trillion dollar behemoth). Follow the compute because this is where the growth will happen.

America and China will lead in the rapid development and deployment of AI technology; the EU will lead in regulation. Keep your eye on these 3 regions depending on what you're looking to better understand.

[kamrujjamantareq]

8 FREE WEBSITES TO LEARN AI PROMPT - Kamrujjaman Tareq.

We all use AI tools to some extent, right?

But here’s the real question - Can you write great prompts?

Because tools won’t save you. Thinking clearly will.

And that starts with knowing how to ask the right questions.

So if you're serious about mastering AI, Don’t just use it - understand it.

Here are 8 free resources that’ll sharpen your prompt skills:

👉 Learn Prompting Open-source. Beginner to advanced. No fluff.

👉 OpenAI – Prompt Engineering Best Practices Straight from the source. Best-in-class guidance.

👉 Crash Course by Maximilian Vogel 45 minutes. Zero excuses. Maximum clarity.

👉 Google – Prompting Essentials 5-hour course. Self-paced. Beginner-friendly.

👉 ChatGPT Prompt Engineering for Developers (Andrew Ng) For builders and thinkers. Learn APIs and structure.

👉 IBM – Prompt Engineering Basics 7 hours of insight. Audit for free on Coursera.

👉 Vanderbilt University – Prompt Engineering for ChatGPT ReAct, persona, iteration—taught with depth.

👉 YouTube – 5hr Prompt Engineering Crash Course Hands-on, practical, and highly recommended.

Each one helps you think better, prompt smarter, and use AI more effectively.

🧠 Because in this game? It’s not about knowing more tools. It’s about asking better questions.

Click here to get full resources. Save this post. Share it forward.

And if you want more like this - Follow @kamrujjamantareq for real-world AI tips that actually help.

#AIPROMPT #Kamrujjamantareq

[trendsnova]

5 Essential AI Courses to Take in 2025 — No Matter Your Industry

Your fastest path to mastering AI skills that top companies are hiring for

AI Isn't Optional Anymore — It's the New Literacy

If there's one capability that will determine achievement in 2025 and beyond, it's artificial intelligence. No longer the exclusive province of Silicon Valley engineers, AI is now part of the everyday arsenal in marketing, education, finance, design, and healthcare.

A recent report from McKinsey estimates AI has the potential to inject more than $13 trillion into the economy by 2030. That's not a niche—it's a revolution. And those who know how to tap it will have a huge career advantage.

The best part? You don't require a computer science degree to get started. Nowadays, top AI education is a click away. The next five courses are some of the most prestigious and useful available, supported by giants like Google, Stanford, and DeepLearning.AI.

Google AI Essentials (Coursera) Best For: Complete beginners looking for a reliable, hands-on primer Google AI Essentials aims to equip you with a solid understanding of how AI works and how to apply it in your role, even if tech is not your background. It touches on practical uses of AI and even includes exercises to create your first AI-powered tools with Google's suite.

With a Google and Coursera certificate, this course is unique on a résumé and enables professionals to begin applying AI quickly in content writing, admin tasks, or data analysis.

AI For Everyone by Andrew Ng (Coursera) Best For: Entrepreneurs, managers, and non-technical teams Teased out by Coursera co-founder and former Google Brain boss Andrew Ng, a legendary in the field, the course is not about code but strategy for AI—how to think about the role of AI in business and society.

It’s perfect for decision-makers who want to speak the language of AI without writing a single line of code. You’ll learn how to identify which problems AI can solve, and how to build teams around those solutions.

Machine Learning Specialization (Stanford + DeepLearning.AI) Best For: Learners who want depth, and a Stanford-backed certificate If you're willing to dive deeper, this three-course specialisation—again taught by Andrew Ng—teaches the principles of supervised learning, unsupervised learning, and ML engineering best practices.

This is one of the best-known ML programmes in the world and provides you with a solid grounding to transition into AI work or create your own projects. It's an essential if you're keen on the technical aspects.

Prompt Engineering for ChatGPT (DeepLearning.AI + OpenAI) Best For: Creators, marketers, copywriters, and researchers Prompt engineering is rapidly turning into the most sought-after AI skill. In this course, you learn how to effectively interact with large language models such as ChatGPT so you can obtain the most accurate and creative output.

You will discover how to frame prompts for various purposes—summarizing, content writing, programming assistance, and more. Whether you are writing articles, emails, code, or strategies, prompt mastery is a productivity shortcut to 10x.

AI Product Management (Duke University on Coursera) Ideal For: Future product managers and startup entrepreneurs AI isn't merely about creating tools—it's about creating the right tools. This Duke University course is designed to get you to market with AI-powered products.

You'll learn to design, test, and release AI systems with consideration for user requirements, data ethics, and risk. With case studies and frameworks from leading product leaders, it's ideal for professionals who want to drive AI innovation in their firm or startup.

Why These Courses Matter These aren't random YouTube tutorials. Each one is instructed by Stanford, Google, OpenAI, or top university experts. More significantly, they provide you with practical know-how that's applicable in almost every profession.

If you are a writer wanting to apply AI for quicker content generation or a manager seeking to revolutionize your company's process, these courses will make you AI-literate—quickly.

Final Thought AI is not just a passing trend—it’s the skill that will define career trajectories for the next decade. The sooner you get started, the further ahead you’ll be when everyone else starts catching up.

Choose one course today, block 30 minutes on your calendar, and start your journey. You’ll thank yourself in six months.

[nikhilvaidyahrc]

Top 5 AI Certifications That Are Actually Worth It in 2025

Published by Prism HRC – Leading IT Recruitment Agency in Mumbai

Let’s face it, in 2025, AI is not "nice to know." It’s everywhere. From chatbots and content marketing to finance and medicine, artificial intelligence is the force working behind the scenes. That also means employers are actively searching for professionals who understand AI or at least know how to work alongside it.

But with countless online courses out there, it’s tough to know which certifications actually carry weight. Which ones make your resume stand out to real hiring managers and recruiters?

We’ve curated the top five AI certifications that are genuinely worth your time, effort, and investment in 2025, whether you’re a fresher, a seasoned techie, or someone switching careers.

Google Professional Machine Learning Engineer

Why it’s worth it: This certification shows that you can design, develop, and deploy machine learning models on Google Cloud. It’s widely respected in the industry, especially if you’re eyeing cloud-based AI roles.

Who it’s for: Mid-level professionals, data scientists, ML engineers

What you'll learn:

Defining machine learning problems

Feature engineering

Model architecture and deployment

Tools like Vertex AI, BigQuery, and TensorFlow

Bonus tip: Just having Google’s name on your resume adds major credibility, especially if you're applying to MNCs or product companies.

IBM Applied AI Professional Certificate (via Coursera)

Why it’s worth it: This course is one of the most beginner-friendly yet hands-on AI certifications out there. It teaches you practical tools and includes real-world projects you can add to your portfolio.

Who it’s for: Freshers, career changers, and even non-programmers curious about AI

What you'll learn:

Foundations of AI

Python programming for AI

IBM Watson tools and services

How to build chatbots and deploy AI applications

Pro tip: The included labs and projects are great for showcasing your work on LinkedIn or GitHub.

Microsoft Certified: Azure AI Fundamentals

Why it’s worth it: A solid starting point for anyone looking to understand AI through the lens of Microsoft’s Azure platform. This course makes complex AI ideas approachable without diving into deep code.

Who it’s for: Newcomers, business analysts, marketers, and non-tech professionals exploring a switch to AI

What you'll learn:

Core machine learning and AI principles

Natural language processing, computer vision

Responsible AI practices

Use cases and tools in Azure

Why it stands out: If you’re applying to companies already using Microsoft tools, this certification puts you ahead of the pack.

Stanford Online: Machine Learning Specialization by Andrew Ng (on Coursera)

Why it’s worth it: Andrew Ng is a well-known name in the AI world, and his course has helped millions break into machine learning. The 2025 version is updated, relevant, and perfect for serious learners who want a deep understanding.

Who it’s for: Developers, tech enthusiasts, aspiring machine learning engineers

What you’ll learn:

Supervised learning and neural networks

Bias-variance tradeoff

Decision trees

Model evaluation and tuning

What makes it special: This isn’t just a theory-heavy course. It helps you understand how machine learning actually works, and that knowledge is rare and respected.

DeepLearning.AI’s Generative AI with LLMs Specialization

Why it’s worth it: Let’s be honest, generative AI is everywhere right now. Whether you’re playing with ChatGPT or building AI tools at work, this course puts you in sync with the future.

Who it’s for: Developers, content creators, product managers, and tech professionals working with AI APIs

What you’ll learn:

Prompt engineering strategies

How large language models function

Fine-tuning LLMs

Building ethically sound GenAI applications

Hot tip: If you're interviewing for product, content, or R&D roles related to AI, this certification will make you stand out.

Before you go

Let’s cut through the noise. There are tons of AI courses out there, but only a few actually help you grow. These five certifications offer real skills, portfolio projects, and recruiter-approved credibility.

If you’re planning to enter AI, grow in your current role, or shift from another domain, one of these certifications could be the best decision you make in 2025.

Still unsure which AI path is right for your career?

Prism HRC can help you make the smart move. We match skilled talent with companies hiring in AI, data, and cloud, and we know exactly what certifications employers are asking for right now.

Based in Gorai-2, Borivali West, Mumbai Website: www.prismhrc.com Instagram: @jobssimplified LinkedIn: Prism HRC

[aishwaryaanair]

Breaking Into the AI Code: Essential Certifications for Tech Enthusiasts

Artificial Intelligence (AI) has swiftly transitioned from a futuristic concept to an integral part of our daily lives. From voice-activated assistants to predictive analytics and self-driving cars, AI powers countless innovations, making it one of the most sought-after skills in today’s job market. For tech enthusiasts looking to dive deep into this transformative technology, the right certifications can open doors to lucrative opportunities and exciting challenges.

Why AI Certifications Are Crucial for Tech Enthusiasts

AI is a rapidly evolving field, and staying updated requires continuous learning. Certifications offer:

Structured Learning Paths: They provide a systematic approach to mastering AI concepts and tools.

Industry-Relevant Skills: Certifications align with current industry needs, focusing on practical applications.

Validation of Expertise: Earning a certification demonstrates your commitment and skills to potential employers.

Networking Opportunities: Many programs connect learners with industry leaders and peers.

Whether you’re a programmer, a data analyst, or a budding tech enthusiast, an AI certification is a stepping stone to achieving your professional goals.

AI+ Prompt Engineer™ by AI Certs

The AI+ Prompt Engineer™ certification by AI Certs is a game-changer for anyone fascinated by the intersection of language and technology. This course focuses on crafting effective prompts for AI systems, a critical skill as conversational AI tools like ChatGPT gain prominence.

Key Features:

Comprehensive Curriculum: Covers the art and science of prompt engineering, optimization techniques, and applications across industries.

Hands-On Training: Learners engage in real-world projects to create and refine prompts for various AI models.

Industry Insights: Understand how prompt engineering drives innovations in customer service, marketing, and product development.

For tech enthusiasts eager to make an impact in AI-driven communication and automation, this certification is a must-have.

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.

Machine Learning Certification by Stanford University (Coursera)

Stanford’s renowned Machine Learning Certification by Professor Andrew Ng is a favorite among AI enthusiasts. This beginner-friendly course covers foundational topics in machine learning, including supervised and unsupervised learning, neural networks, and data analysis.

Why Choose This Course?

Offers a solid introduction to AI concepts.

Provides practical assignments to apply your knowledge.

Delivered by one of the world’s leading AI educators.

Deep Learning Specialization by DeepLearning.AI (Coursera)

For tech enthusiasts eager to specialize in deep learning, the Deep Learning Specialization is a fantastic choice. This program, also led by Andrew Ng, dives into neural networks, natural language processing (NLP), and computer vision.

Key Highlights:

Build, train, and optimize deep neural networks.

Explore advanced AI applications like image recognition and sequence models.

Learn through interactive assignments and project.

How to Choose the Right AI Certification

With so many certifications available, choosing the right one can feel overwhelming. Here’s a simple guide to help you decide:

Assess Your Goals: Are you interested in programming, data science, or application development? Select a certification that aligns with your career aspirations.

Skill Level: Beginners should opt for foundational courses like Stanford’s Machine Learning Certification, while advanced learners might explore deep learning or robotics programs.

Practical Experience: Hands-on projects are essential for building confidence and showcasing your skills to employers.

Industry Recognition: Certifications from reputed institutions like AI Certs, Stanford, or DeepLearning.AI carry significant weight in the job market.

The Future of AI Careers for Tech Enthusiasts

The demand for AI expertise spans across industries. From healthcare and finance to gaming and education, professionals with AI skills are shaping the future. Here’s why now is the perfect time to invest in AI certifications:

High Demand: The global AI market is projected to reach $190 billion by 2025, creating millions of jobs.

Lucrative Salaries: AI professionals command competitive salaries, often exceeding six figures.

Innovation Opportunities: AI certifications equip you to solve complex problems and drive innovation.

A Roadmap to AI Success

Breaking into AI as a tech enthusiast doesn’t have to be daunting. With beginner-friendly certifications like AI+ Prompt Engineer™ or advanced programs like Deep Learning Specialization, you can tailor your learning journey to suit your interests and goals.

Take the First Step Today

AI is not just the future — it’s the present. With the right certification, you can transform your passion for technology into a thriving career. Whether you’re crafting innovative prompts, designing intelligent robots, or mastering neural networks, the opportunities are endless.

[blogchaindeveloper]

Educational Aspects of Prompt Engineering

Large Language Models (LLMs), exemplified by OpenAI's ChatGPT, have become increasingly prominent in the ever-changing field of artificial intelligence. This technology demonstrates the potential to change human-machine interactions through the intelligent use of language and computer power. 'Prompt engineering' is the driving force behind this change. This complex procedure involves crafting text prompts to direct LLMs efficiently and disregarding the necessity for intensive model training.

Careful, timely design can significantly increase the effectiveness of large language models. These cues are essential for getting the best accuracy and performance from language models. From sophisticated question-answering systems to sophisticated mathematical reasoning algorithms, well-designed prompts enable LLMs to produce ground-breaking outcomes in academic and industrial applications.

However, prompt engineering is more than just creating concise prompts. It is a comprehensive subject that comprises a vast collection of skills and approaches essential for establishing solid LLMs and supporting seamless interactions. 

This entails incorporating safety precautions, applying domain-specific expertise, and maximizing LLM performance with customized tools. Each aspect of prompt engineering is essential to guarantee the dependability and efficacy of LLMs in practical situations.

Given the growing interest in utilizing LLMs to their full capacity, a thorough, technically sophisticated manual on prompt engineering is desperately needed. In the following parts, we will examine the basic ideas of prompting and more complex methods for creating prompts that produce the best results.

Potential Unlocking with Properly Crafted Prompts

Carefully constructed cues are essential to the efficacy of large language models. These cues are critical for getting the best accuracy and performance from language models. LLMs can perform exceptionally well on various tasks by carefully crafting prompts, including intricate question-answering systems and arithmetic reasoning algorithms. This will transform research and industry applications.

The topic of prompt engineering is multifaceted and involves a range of abilities necessary for creating solid LLMs. This entails combining safety precautions, domain-specific expertise, and specially designed tools to improve performance. These factors are essential. They are crucial to the dependability and efficiency of LLMs in Prompt Engineering.

Prompt engineering entails creating and improving particular text prompts to direct transformer-based language models. This procedure involves evaluating task requirements and data, improving prompts, and adjusting language models in response to these prompts. Prompt engineering is used by AI experts, such as researchers and data scientists, to enhance LLM performance in applications such as conversational AI, e-commerce, and healthcare.

Prompt Engineering Principles

In their ChatGPT Prompt Engineering for Developers course, Isa Fulford and Andrew Ng emphasize two crucial elements of prompt engineering:

Creation of Clear Instructions: Prompts must contain detailed instructions for precise and pertinent model output.

Providing Processing Time: By including pauses or "thinking time" in prompts, the model can process information more effectively, producing better results.

The Methodical Approach to Prompt Engineering

Understanding the Issue: The first step is thoroughly examining the current task. It's critical to comprehend the information required for question-answering jobs and whether context or reasoning is needed. This stage makes it easier to foresee difficulties and modify suggestions appropriately.

Creating the First Prompt: A well-structured initial prompt entails giving the language model precise, concise, and unambiguous instructions. Adding few-shot samples of desired inputs and outputs might sometimes improve the model's comprehension.

Analyzing the Model's Response: Determining whether the model's output aligns with the stated objective is essential. Finding disparities directs the refinement process and aids in understanding constraints.

Iterating and Improving the Prompt: Improving the prompt entails tactics like clarifying instructions, adding more examples, or changing the question's structure. The goal of this iterative procedure is to increase the prompt's efficacy.

Testing the Prompt on Different Models: Understanding the prompt's generalizability and resilience requires testing it on various models. The architecture, size, and training data of these models may affect how they react.

Scaling the Prompt: Scaling entails increasing the usefulness of a successful prompt following testing and improvement. This can involve making variations for similar jobs or automating the creation of prompts.

Building the Future: Using Prompt Engineering Education to Navigate AI Frontiers

Navigating the complex field of prompt engineering requires education, mainly through specialized courses like the prompt engineering course. This course covers topics like creating strategic text prompts, incorporating safety measures, and maximizing the performance of Large Language Models (LLMs) to give participants the skills and techniques essential for successful prompt engineering. Pursuing an AI prompt engineer certification can benefit aspiring artificial intelligence workers. 

In addition to confirming proficiency in rapid engineering, AI expert certification attests to a person's capacity to utilize LLMs in various contexts, consistent with the revolutionary results discussed in the previous article. 

AI certifications are essential for keeping up with the quickly changing AI ecosystem in the larger context of upskilling. These credentials guarantee that people have the skills and knowledge to handle challenging AI tasks and significantly contribute to creating reliable language models. 

Given the growing worries about cybersecurity, a cybersecurity certification is also necessary for people working on AI-related projects. This ensures that AI applications and prompt engineering follow strict security protocols. 

It is essential to pursue prompt engineering and AI certifications to start the process of becoming a well-rounded AI expert. By producing qualified people who can handle the difficulties and realize the full potential of AI technologies, these certificates improve job prospects and significantly contribute to the advancement of artificial intelligence.

Language Model Learning's Future

Language model learning is constantly changing, and prompt engineering is crucial. Well-designed prompts are becoming increasingly important as AI technologies, such as voice assistants and chatbots, become more integrated into daily life. Prompt engineering is more than just creating inquiries; it also entails comprehending context, intent, and intended results.

Today's investments in prompt engineering will shape the future of AI-enabled developments. Prompt engineering will steer LLMs as they grow into fields like data analysis, automated content creation, and healthcare diagnostics. Our world is becoming increasingly intertwined with AI thanks to today's talented and quick developers who set the foundation for future developments in LLM and unexpected AI technologies.

The Blockchain Council offers AI developer certification courses for individuals wanting to participate in this revolutionary adventure. 

The Blockchain Council is a reputable group of subject matter experts and enthusiasts committed to advancing blockchain research and development, creating a thorough understanding of use cases, products, and information for a better society. In the rapidly changing world of technology, the Blockchain Council is crucial in offering professionals who want to improve their knowledge of AI development the necessary training and certification courses.

[rthidden]

AI Alert: OpenAI's o1 Opportunity

Don't hit the panic button if you've missed the AI hype train.

A new, sleeker model just rolled into town: Meet OpenAI's o1.

It's like the iPhone update you actually need.

This is your chance to become a master prompt engineer, the art of chatting with AI to get golden results.

Why it matters

The new o1 model from OpenAI is a game-changer for small business owners.

This upgrade isn't just an aesthetic change; it's equipped to solve complex problems, making AI more useful in everyday operations.

Learning how to craft effective prompts now means staying ahead of the curve—and your competition.

The big picture

AI adoption is exploding, with 35% of organizations using AI and another 42% just on the cusp (IBM Global AI Adoption Index, 2023).

The playground's getting crowded, so mastering this next-gen tool is like having an exclusive VIP pass.

By the numbers

The global AI market is expected to grow from $515.31 billion in 2024 to a mind-boggling $1.597 trillion by 2030 (Fortune Business Insights, 2024).

According to Andrew Ng, "Prompt engineering is becoming a crucial skill in the AI era."

Overheard at the water cooler

"Dude, o1 just solved a bottleneck I've been battling for months. It's like having a brainstorming session with Einstein during a coffee break."

The bottom line

OpenAI's o1 is not just a snazzy upgrade; it's a catalyst for turning AI from a buzzword into a valuable business asset.

Don't miss the opportunity to upskill and watch your small biz thrive.

[hammadchauhdary]

Best Free AI Courses Available in 2024

Artificial Intelligence (AI) is transforming various sectors, making it essential to acquire relevant skills. The Best Free AI Courses Available in 2024 guide offers a curated selection of top-tier educational resources. From Coursera’s "AI for Everyone" by Andrew Ng to MIT’s Professional Certificate Program, these courses cater to beginners and advanced learners alike. Highlights include practical applications, ethical considerations, and insights from leading experts. Accessible and comprehensive, these free AI courses can help you stay ahead in the rapidly evolving tech landscape.

A Deep Dive into Top Free AI Courses for 2024

AI expertise is more crucial than ever. Explore the Best Free AI Courses Available in 2024 to enhance your knowledge and skills. This guide features programs from esteemed institutions like Harvard and Stanford, covering everything from basic AI concepts to advanced machine learning techniques. Each course is designed to be engaging and accessible, providing valuable insights into the latest AI trends and technologies. Whether you're a novice or a professional, these courses offer the tools needed to excel in the AI field.

Elevate Your AI Skills with These Free Courses

Unlock the potential of AI with the Best Free AI Courses Available in 2024. This comprehensive list includes offerings from renowned platforms like Coursera, DataCamp, and Google Cloud. Courses such as AWS's "Building a Generative AI-Ready Organization" and Udacity’s AI Nanodegree provide practical knowledge and hands-on experience. Perfect for individuals at any stage of their AI learning journey, these free courses are a valuable resource for staying current in a rapidly advancing field.

Comprehensive Guide to the Best Free AI Courses in 2024

Stay competitive in the tech industry with the Best Free AI Courses Available in 2024. This guide highlights a variety of free courses from top educational providers, including IBM, Google, and MIT. Whether you aim to understand AI basics or delve into specific applications like machine learning or prompt engineering, this resource covers it all. Each course is structured to provide in-depth knowledge and practical skills, ensuring you are well-prepared for future AI challenges.

Top Free AI Courses to Enhance Your Career in 2024

AI is at the forefront of technological innovation, and the Best Free AI Courses Available in 2024 can help you master it. From beginner-friendly introductions to specialized programs, this guide covers a range of courses tailored to various skill levels and interests. Institutions like Stanford and Harvard offer rigorous training that combines theory with practical application. These free courses are an excellent way to build a solid foundation in AI and advance your career in this dynamic field.

By integrating these backlinks into related articles, you can enhance your SEO strategy, drive traffic to your website, and establish your site as a valuable resource for AI education.

[aiexpressway]

From Electricity To AI: The Technology That Will Transform The World AI is the new electricity. Just as electricity transformed almost everything 100 years ago, AI will transform and improve all areas of life in the next several years. - This is a quote from  Andrew NG and I truly believe it. AI will transform and improve all areas of life in the next several years therefore it is important to learn about AI and its applications in order to stay informed, adapt to technological advancements, and participate meaningfully in the AI-driven future. Are You Convinced and Ready to dive into the world of AI? Join us on an exciting journey on our YouTube channel where we explore the incredible capabilities of New AI tools, demystify the powers of ChatGPT & learn Prompt Engineering to effectively talk with AI Chatbots…

[hackernewsrobot]

Andrew Ng Course – ChatGPT Prompt Engineering for Developers

https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ Comments

[rthidden]

AI or Bye-Bye: Don't Start with Prompts

Thinking about diving into AI?

Here's a pro tip: skip the prompts and embrace more effective paths to success.

Why it matters

For small business owners keen on harnessing AI, focusing on real-world applications rather than starting with prompt engineering can make a world of difference.

It's about leveraging AI creatively to solve problems, not just moving cyber muses around.

The big picture

It's like Andrew Ng says, AI isn't just tech; it's a revolution in problem-solving.

Small businesses can benefit by rethinking old problems in new ways, much like swapping out a flip phone for a smartphone.

By the numbers

69% of workers feel AI will significantly impact them in the next 3-5 years (Source: PwC, 2023)

97 million new jobs adapted to AI expected by 2025 (Source: World Economic Forum, 2023)

85% of companies see AI as mainstream by 2023 (Source: CNBC Technology Executive Council Survey, 2023)

What they're saying

"Forget starting with prompts," says every seasoned AI expert ever.

"Think of AI as your chess partner—it wins some, you win some, and together you master the game."

The bottom line

Tech isn't just for techies.

Approach AI strategically and skip straight to the juicy bits where your business can thrive.

So put down the prompt manual and get strategic. Your future self will thank you.