Introduction to LLM Development
Good morning, AI enthusiasts! When we launched Beginner to Advanced LLM Developer seven months ago, we built it for a simple reason: most devs didn’t have a reliable path to go from “I’ve built custom ChatGPT” to “I can build and ship production-grade AI systems.” So we put everything into one place: prompting, RAG, fine-tuning, agents, tool use, local deployment — all in a flow that actually made sense.
What We’ve Learned
Since then, two things have happened:
- Over 100 projects, case studies, and developer conversations gave us clear insight into what works and what doesn’t.
- The LLM landscape leveled up — reasoning models, multimodal APIs, fast local inference, and new fine-tuning paths.
And that meant we had to update the course, too.
What’s New
Not just to keep it current, but to reflect everything that is relevant for “LLM development” in 2025, which you have access to for only $250 (equivalent to $4 an hour!).
Key Updates
- Local-first development is real
- Prompting isn’t enough anymore
- You can fine-tune with way less data
- Your apps can see now
- Interoperability is the next big unlock
Also: - More video walkthroughs
- Updated lessons throughout
- Cleaner structure for faster onboarding
Still the Most Complete Path to LLM Development
You’ll still go from zero to deploying a certifiable Retrieval-Augmented Generation (RAG) project. You’ll still learn the full lifecycle in 90+ lessons: from prompts and data pipelines to tool use, fine-tuning, and deployment — all with production-grade tools like Python, OpenAI, Gemini, Llama 3, LangChain, Hugging Face, Anthropic MCP, and more. The difference? You’ll be equipped for what the LLM stack looks like now, not last year.
A Quick Word on the June Cohort
Also, a reminder that our June cohort kicks off on the 1st (Just 6 days to go) — a way to build alongside other devs and founders shipping in real time. It’s not a boot camp. It’s a kick-off call with our CEO to help answer your most pressing questions, gut-check ideas, and share progress. If you’ve got momentum (or want to get it back), this is where we build together.
Start for Free — Then Decide
The first 10 lessons (and one full code notebook) are completely free. You’ll know within the first hour if this is the path you want to take. If you do go all-in, there’s a 30-day money-back guarantee. So really, the only decision you’re making today is whether or not you want to try.
Conclusion
We made sure the answer to that one is easy. Start Learning Free and take the first step towards becoming an expert in LLM development.
FAQs
Q: What is LLM development?
A: LLM development refers to the process of building and shipping production-grade AI systems using Large Language Models.
Q: What is the cost of the course?
A: The course is available for $250, which is equivalent to $4 an hour.
Q: What is the June cohort?
A: The June cohort is a kick-off call with our CEO to help answer your most pressing questions, gut-check ideas, and share progress.
Q: Can I try the course for free?
A: Yes, the first 10 lessons (and one full code notebook) are completely free.
Q: Is there a money-back guarantee?
A: Yes, there is a 30-day money-back guarantee if you decide to go all-in.
