The Complete AI Curriculum: your path to AI proficiency with LLMs and Agents

Hinzugefügt: 2026-06-04

[00:00:00]I am astonished by what LLM's and agents are capable of and it's been my great joy to share this astonishment with people through my six AI courses on Udemy. And it's bewildering but there are almost 700,000 enrolled in these courses across 194 countries and perhaps you're considering joining us on this journey. Well, look, by far the most common question I get from people embarking on this journey is, "Okay, what order should I take the courses in and how do they fit together?" Let me lay that out for you in four minutes. I have six courses in my curriculum. The first of them is called AI Builder and it's about creating agents and voice agents with Any An and 11 Labs. The second one is called AI Coder and it's about building software and products using Claude Code and other coding agents. And the third one is called AI Leader and it's about delivering AI projects, transforming your business with AI, and even starting an AI business. That's AI Leader. And the next three courses are all about AI engineering. There's the AI Engineer Core Track, which is about LLM's and APIs and open source LLM's and RAG and fine-tuning. And then there's the AI Engineer Agentic Track, which is about agent loops, OpenAI Agent SDK, MCP. And then there's the AI Engineer Production Track, deploy at scale to AWS, GCP, and Azure. And those are the six courses in my AI curriculum. And my big message for you is that all six of these courses complement each other. There's little overlap between them. Each of them covers different topics and let me tell you what you'll be able to do after you complete each one. After AI Builder, you'll be able to create agents and voice agents for your business without needing to write a line of code. After AI Coder, you'll be an expert in using coding agents like Claude Code to deliver software with astonishing speed.

[00:01:52]AI Leader will position you to deliver commercial impact whether you work at a startup or a Fortune-500 enterprise. And now for the AI engineering trio, the core track will position you to select, apply, and optimize LLMs to solve real-world commercial problems. And the agentic track is the same thing, but this time with autonomous AI agents. And the production track will let you take LLMs and agents and deploy them on the cloud at scale with resiliency, and observability, and security. Now, I do a lot of talking in these courses, but there's something that I do more of than talking, and that's building. And you should too. It's the best way to learn.

[00:02:32]We're going to apply what we learn to tangible, juicy, commercial problems in many industries spanning healthcare, law, tech, sales, financial services.

[00:02:43]These courses are all about solving business problems with AI, and we will do a lot of it. I've organized the courses so that there's something there for everyone. But generally speaking, the first three courses are best suited for people that are either technical or non-technical, a wide audience. The fourth and fifth course are best for people that are either technical or aspiring technical. You're ready, you're curious, you want to learn to be more technical, or you already are. And then the sixth one is best for someone that's already technical or that has already completed courses one to five. That's how they're laid out. And if you've completed the entire program, all six courses in the curriculum, and you've delivered all the associated projects, then you can call yourself a proficient AI engineer, and you're ready to take on roles like AI engineer, applied AI engineer, FDE engineer in industry today solving real-world problems with LLMs and agents. And you can take the courses in any order you wish. They're great companions for each other. All things being equal, the most natural progression is probably one through to six as it's shown here. And if I was starting out, that's probably the order that I would pick, but it's completely up to you. Pick the topic that interests you and follow the progression that makes the most sense for you. And if you complete all six courses, I've built a resource called the directory of proficient AI engineers, and I would be delighted to add you. There are details on my website. And thanks for watching.

[00:04:07]I've got tons more videos on AI engineering, on coding agents, and on how LLMs actually work here on YouTube.

[00:04:14]And if you enjoy the videos, please do like and subscribe. That's where I know you're really there and you want me to keep making these videos. And I hope to see you very soon on your journey through the AI curriculum.