I distilled my knowledge of AI agents from the past 3 years into a free course while building a range of real-world AI applications for my start-up and the Decoding AI Magazine learning hub.
Freshly baked, out of the oven, touching on all the concepts you need to start building production-ready AI agents.
It's a 9-lesson course covering the end-to-end fundamentals of building AI agents. This is not a promotional post, as everything is free, no hidden paywalls anywhere, I promise. I want to share my work and help others if they are interested.
How I like to say it: "It's made by busy people, for busy people." As each lesson takes ~8 minutes to read. Thus, in ~1 and a half hours, you should have a strong intuition of how the wheels behind AI Agents work.
This is not a hype based course. It's not based on any framework or tool. On the contrary, we focused only on key concepts and designs to help you develop a strong intuition about what it takes to architect a robust AI solution powered by agents or workflows.
My job with this course is to teach you "how to fish". Thus, I built most of our examples from scratch.
So, after you wrap up the lessons, you can open up the docs of any AI framework and your favorite AI coding tool and start building something that works. Why? Because you will know how to ask the right questions and connect the right dots.
Ultimately, that's the most valuable skill, not tools or specific models.