Know what to use, when, and why
Understand how these models work, how to compare them, and when to use them. Practical case studies on agents and domain-specific projects help you choose the best solution for a given scenario.
Understand, build, evaluate, automate, and maintain robust LLM solutions. Five focused video sessions take you from a basic prompt to a full production rollout.
30-day money-back guarantee · lifetime access · updated weekly
The real challenge isn't coding; it's knowing where to begin. This course gives you a mental map of the LLM landscape so you know what to try first.
Understand how these models work, how to compare them, and when to use them. Practical case studies on agents and domain-specific projects help you choose the best solution for a given scenario.
Adopt databases, retrieval, frameworks, fine-tuning, and evaluations into your daily workflows: the core skills for customising LLMs to specific industries and improving reliability.
Develop intuition for techniques like distillation, quantization, RLHF, and defences against prompt-hacking, so your deployments hold up at scale.
If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills.
Paul IusztinThe course actually has 12 hours, all of which are totally worth watching. I didn't know much about LLMs before that, and after the course, I was confident that I knew more than most people talking about AI these days. The course is very information dense and the hands-on parts help with clarifying and operationalizing the concepts. I consider it money and time very well spent.
Horia ConstantinAn exceptionally complete, clear, and well-structured course on LLMs. It's the best for learning the most current RAG techniques.
Gino SedanoEach 2-hour session moves you one layer deeper, with quizzes to lock in the concepts.
Updated regularly. Certification, community support, and lifetime access included.
Designed as a one-day bootcamp for software professionals, language agnostic, and relevant well beyond developers. No prior AI knowledge required; a Python foundation helps but isn't essential.
Evaluate quality, integrate domain data, and monitor for safety, so your features hold up in production rather than only in a demo.
Whether you're guiding a team, building a startup, or upskilling, develop the mental models to decide when to fine-tune, how to scale, and where to push back.
In five focused sessions, gain a skillset already in demand across product, engineering, and research teams, from startups to enterprise.
Whether you're solo or leading a team, learn to build safer, faster, smarter LLM systems, on time and on budget.