I found your articles and courses really helpful and insightful more than getting an official certification by this or that provider. But in order to make my skills and my cv the best fit for certain companies, we need also to get some. Can you suggest what certifications go more in this direction: that's to say AI Engineering?
Thanks, Pasquale! That's the goal of these free courses. You have no idea how much that means to me.
I might be biased, but I've started collaborating with the Towards AI Academy on my next AI Agents course. This one follows a more standard approach, providing Q&A, certificates and everything you expect from a professional course: https://academy.towardsai.net/courses/agent-engineering
They are real professionals following a similar mindset to my open-source courses: "Learn by building!"
If you are interested in the broader field of AI Engineering, instead of just AI Agents, they provide a fantastic course on full-stack AI engineering: prompt engineering, RAG, deploying LLMs, working with open/closed-source LLMs, etc.: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=b3ab31
If you use code "Paul_15" you get 15% off. I know it's an affiliate, but I would have recommended it even if it wasn't. Hope that helps. Enjoy!
Loved this roadmap it echoes exactly what I aim to foster both in the classroom and with clients:- building from fundamentals to firm, reliable systems.
In my AI and cybersecurity lectures, I use a similar phased approach helping students go from concept to constructing secure, adaptable pipelines. When consulting, that same roadmap becomes the backbone for evaluating real deployments, does this stand up to adversarial challenge or organizational complexity?
Your structure feels like a blueprint for turning curiosity into capability and for ensuring that AI engineering isn’t just theoretical but tightly woven into strategy, risk understanding, and live environments.
Would enjoy exchanging perspectives especially on connecting your roadmap to security-conscious deployments and resilient system thinking. Thanks for unpacking this so thoughtfully.
That's a great tutorial, but my question is - what kind of people do you think need it the most? Because I am working in IT/Project Management (I can code pretty well), and to be honest, I cannot imagine spending so much time building something like this.
Maybe it just looks so complicated? Maybe I just don't get how useful it can be?
Going through the articles without coding this yourself will take you ~2-4 hours, depending on how in-depth you read.
This course aims to help students understand the end-to-end engineering behind real-world projects that use LLMs, agents, LLMOps and RAG.
As a project manager this will help you understand the complexity of implementing X, Y, Z and an understand end-to-end processes that are impossible to understand from simple 30-minute projects.
So yes, this is hard core by design and targeted to people who want to become senior AI engineers or work with them.
The course was sponsored to remain free. That's how I made money. No other catch. At this point, everything is freely available for people to level up in building AI products.
I found your articles and courses really helpful and insightful more than getting an official certification by this or that provider. But in order to make my skills and my cv the best fit for certain companies, we need also to get some. Can you suggest what certifications go more in this direction: that's to say AI Engineering?
Thanks, Pasquale! That's the goal of these free courses. You have no idea how much that means to me.
I might be biased, but I've started collaborating with the Towards AI Academy on my next AI Agents course. This one follows a more standard approach, providing Q&A, certificates and everything you expect from a professional course: https://academy.towardsai.net/courses/agent-engineering
They are real professionals following a similar mindset to my open-source courses: "Learn by building!"
If you are interested in the broader field of AI Engineering, instead of just AI Agents, they provide a fantastic course on full-stack AI engineering: prompt engineering, RAG, deploying LLMs, working with open/closed-source LLMs, etc.: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=b3ab31
If you use code "Paul_15" you get 15% off. I know it's an affiliate, but I would have recommended it even if it wasn't. Hope that helps. Enjoy!
Loved this roadmap it echoes exactly what I aim to foster both in the classroom and with clients:- building from fundamentals to firm, reliable systems.
In my AI and cybersecurity lectures, I use a similar phased approach helping students go from concept to constructing secure, adaptable pipelines. When consulting, that same roadmap becomes the backbone for evaluating real deployments, does this stand up to adversarial challenge or organizational complexity?
Your structure feels like a blueprint for turning curiosity into capability and for ensuring that AI engineering isn’t just theoretical but tightly woven into strategy, risk understanding, and live environments.
Would enjoy exchanging perspectives especially on connecting your roadmap to security-conscious deployments and resilient system thinking. Thanks for unpacking this so thoughtfully.
That's a great tutorial, but my question is - what kind of people do you think need it the most? Because I am working in IT/Project Management (I can code pretty well), and to be honest, I cannot imagine spending so much time building something like this.
Maybe it just looks so complicated? Maybe I just don't get how useful it can be?
Going through the articles without coding this yourself will take you ~2-4 hours, depending on how in-depth you read.
This course aims to help students understand the end-to-end engineering behind real-world projects that use LLMs, agents, LLMOps and RAG.
As a project manager this will help you understand the complexity of implementing X, Y, Z and an understand end-to-end processes that are impossible to understand from simple 30-minute projects.
So yes, this is hard core by design and targeted to people who want to become senior AI engineers or work with them.
This sounds too awesome :) The cynic in me is asking "what's the catch?"
The course was sponsored to remain free. That's how I made money. No other catch. At this point, everything is freely available for people to level up in building AI products.