My Top Picks for Free Generative AI Courses in 2023
The Best Free Courses to Boost Your Knowledge in 2023
In 2023, I’ve found Generative AI to be more interesting and easier to get into than ever before. I’ve spent a lot of time exploring this area and have come across some great free courses that I think are perfect for anyone wanting to learn more about the topic. Here’s my list of the best free courses I’ve found this year.
Prompt Engineering and ChatGPT
- ChatGPT Prompt Engineering for Developers: As a developer, this course really opened my eyes to new ways of using ChatGPT.
- Learn Prompting: This course really stands out because it offers a lot of detailed information about how to create prompts, and it’s all free.
- OpenAI Cookbook: This is my favorite resource. It’s full of really useful stuff for anyone interested in AI.
Generative AI
- Generative AI with LLMs: My favorite for its thoroughness, clarity, and engaging content.
- Generative AI for Everyone by Andrew Ng: This course is great for people who don’t have a tech background. Andrew Ng does a great job of explaining how generative AI works.
- Google’s Introduction to Generative AI: An excellent starter guide for beginners.
- Microsoft’s ‘What Is Generative AI?’: This course does a really good job of making clear what Generative AI is all about.
- LangChain for LLM Application Development: I recommend this one for its clarity in showing how it works in real life.
- Andrej Karpathy’s YouTube Channel: Recommended for insightful lectures on Generative AI and practical examples.
- DeepLearning.AI short courses A must-follow, as Andrew Ng frequently publishes a lot of new content related to Generative AI.
- Amazon’s Gen AI Learning Plan for Decision Makers: This is a great course for leaders who want to understand AI from a big-picture perspective.
AI more Generic
- Harvard’s Introduction to AI with Python: This course is perfect for combining AI with Python.
- Microsoft’s Streamlining Your Work with Microsoft Bing Chat: Demonstrates the practical application of AI in everyday tasks.
- Harvard’s Data Science: Machine Learning: Especially recommended for newcomers in the field, connecting data science with machine learning.
Ethics in AI: A Responsible Approach
- Google’s Introduction to Responsible AI: Crucial for understanding the ethical implications of AI.
- AI for GOOD: On my to-do list, focusing on the positive impact of AI.
Final Thoughts
The courses I’ve listed, apart from the ones I’m yet to explore, have significantly enriched my understanding of Generative AI. To me, they’re more than just courses; they’re like doorways to a future where AI plays a big role. Whether you’re a developer, a leader, or just curious about AI, these courses offer great insights into what AI can do for us in 2023. I’m excited to keep exploring the world of AI and I invite you to join me in this journey!
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See my collection of Generative AI, MLOps, and Responsible AI articles.
