🌟 Editor's Note
Thanks for joining us for another week of Today I Learned AI! 🎉 Here, we keep AI simple, practical, and fun. Every edition is packed with easy-to-use tips, free tools, and stories about how AI is shaping the way we live and work. Let’s explore together.
1. 🧠 IBM – Introduction to Artificial Intelligence
This course is like your AI starter pack. It explains what AI is, how it works, and why it matters in today’s world. You’ll learn about the history of AI, different types of AI systems, and how AI is already being used in things like customer service, healthcare, and entertainment.
What makes this course special is that it’s written for beginners. You don’t need to know coding or math to understand it. IBM uses real-world examples, like self-driving cars or voice assistants (Siri, Alexa), to make the ideas clear. By the end, you’ll be able to explain what AI is to a friend in simple terms.
This course is best for total beginners who want a clear foundation before moving on to more advanced topics.
Quick Summary:
What you’ll learn: The basics of AI — what it is, how it works, and where it’s used.
Why it’s good: This course is perfect if you’re starting from zero. It explains AI in simple terms, with real-world examples.
Best for: Beginners who want a clear foundation before diving deeper.
2. 💼 LinkedIn + Microsoft – Career Essentials in Generative AI
Generative AI is the type of AI that creates things — like text, images, music, or even code. This course is a full learning path built by Microsoft and LinkedIn. It doesn’t just teach you what generative AI is; it shows you how to use it in your career.
You’ll learn how tools like ChatGPT, DALL·E, and other AI assistants work, and how to use them for everyday tasks like writing emails, creating presentations, or generating ideas for projects. The course also covers responsible AI — how to use these tools ethically and safely.
At the end, you earn a LinkedIn badge that you can add to your profile, which shows recruiters and employers that you have skills in generative AI. That’s a big plus if you’re looking for a job or want to stand out in your industry.
This course is best for students, job-seekers, and professionals who want to add AI skills to their resume and career.
Quick Summary:
What you’ll learn: Generative AI tools like ChatGPT, and how they’re changing the workplace.
Why it’s good: The course shows you how AI can help with emails, writing, content, and productivity. You also earn a badge to show on LinkedIn.
Best for: Job-seekers, students, or professionals who want to stand out in their career.
3. ⚡ Databricks – Generative AI Fundamentals
Databricks is a leader in data and AI technology, and this free course dives deeper into how generative AI actually works. Instead of just showing you the tools, it explains the ideas behind them. You’ll learn about things like large language models (LLMs), which are the engines that power ChatGPT, and how they’re trained on massive amounts of data.
Even though it covers technical topics, the course keeps things beginner-friendly with visuals and examples. For example, you’ll see how AI learns patterns in text to generate new content, or how image generators use training data to create pictures.
This course is great if you’re curious about the “why” and “how” behind AI, not just how to use it. It can also give you a solid foundation if you want to keep learning more advanced AI concepts later.
This course is best for curious learners who want to peek behind the curtain and understand the science of AI in simple terms.
Quick Summary:
What you’ll learn: The core ideas behind generative AI, like how AI creates text, images, and more.
Why it’s good: Databricks is a leader in data + AI, so this course gives you insider knowledge in a simple way.
Best for: Anyone curious about the “how” behind ChatGPT, MidJourney, or similar tools.
4. 🌐 Google Cloud – Introduction to Generative AI
This course is short, simple, and straight to the point. It introduces you to what generative AI is and how it works. You’ll get a clear explanation of how tools like ChatGPT or image generators can create new content from patterns they’ve learned.
What makes this course helpful is that it includes hands-on examples through Google Cloud. You’ll see real demos and applications, not just theory. That makes it a good choice if you want to get a taste of AI without spending hours on a long class.
Think of this as your quick “AI appetizer.” It’s not overwhelming, and it gives you the confidence to move on to bigger courses once you’re ready.
This course is best for beginners who want a short, easy introduction before diving into longer lessons.
Quick Summary:
What you’ll learn: A clear breakdown of what generative AI is, with hands-on examples from Google Cloud.
Why it’s good: This is short and simple, making it a great “first taste” of AI without feeling overwhelming.
Best for: Beginners who want to try AI but don’t want a long course.
5. 🚀 Google Cloud – Introduction to Large Language Models (LLMs)
Large Language Models (LLMs) are what power tools like ChatGPT, Bard, and Claude. They’re the reason AI can understand your questions and generate answers that sound human. This course explains what LLMs are, how they’re built, and why they’re important.
You’ll learn about concepts like “training data,” “tokens,” and “parameters,” but in simple, plain English. The course shows how LLMs are used in everyday life, from chatbots to translation apps, and why they’re so powerful. It also touches on the challenges, like bias and the need for ethical use.
By the end, you’ll understand the basics of what makes ChatGPT and other AI tools tick, which is a valuable skill if you want to use them more effectively.
This course is best for learners who want to go one step deeper after an introduction, and anyone curious about the brains behind AI chatbots.
Quick Summary:
What you’ll learn: How tools like ChatGPT work under the hood using large language models.
Why it’s good: It explains the tech in plain English and shows why LLMs are the engine of modern AI.
Best for: Learners who want to go one step deeper after the intro courses.
✅ Final Thoughts
These 5 free courses are a perfect way to start learning AI without pressure. You don’t need special skills or a tech background. All you need is an internet connection and a little curiosity.
Start with one that matches your goals:
Want a simple intro? Start with IBM or Google’s beginner course.
Want career skills? Try LinkedIn + Microsoft.
Want to understand how AI works? Go with Databricks or Google’s LLM course.
👉 Pick one today and block off 30 minutes this week. The future of work is powered by AI — and now you can learn it for free.
✨ That’s your AI tip of the day — simple, quick, and super useful.
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