Most beginners stay stuck in tutorials, but your 4 projects push people into real ML engineering: deploying, versioning, evaluating, and maintaining systems instead of chasing demos.
The mindset shift you highlight from “toy experiments” to “production workflows” is exactly what separates hobbyists from actual practitioners.
If I’d add one more project, it’d be a small end-to-end build with an API contract + model integration + basic monitoring.
Thanks for these resources
Thank you it very useful , I want to be expert in Agentic AI and now I learn both theory and techniques but I am confuse about….
When can I start to build my own Agentic AI ideas?
Do you think that applications from other people's projects, like the ones you are presenting here, are useful for learning?
absolutely! You'll get a lot of insights from these projects, and then, you can apply them to your own ideas
Great post, Miguel, this roadmap is spot on.
Most beginners stay stuck in tutorials, but your 4 projects push people into real ML engineering: deploying, versioning, evaluating, and maintaining systems instead of chasing demos.
The mindset shift you highlight from “toy experiments” to “production workflows” is exactly what separates hobbyists from actual practitioners.
If I’d add one more project, it’d be a small end-to-end build with an API contract + model integration + basic monitoring.
Love the clarity here. 🙌