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Master transformer architecture, prompt engineering, RAG systems, and fine-tuning large language models for production.
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Created By Thu Vu
Last updated 2/22/2026
By the end of this course, you'll be able to:
Dive into the course content and explore the curriculum.
2 Chapters
•
4 Lessons
Course Created By,
Expert AI System Engineer
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I am a Senior AI Systems Architect dedicated to the advancement of autonomous agentic workflows. After leading research teams at top Silicon Valley labs, I now focus on building 'human-in-the-loop' systems that bridge the gap between static LLM chats and fully autonomous agents. My teaching approach follows the Roadmap.sh framework, emphasizing the intersection of Planning, Memory, and Tool-Use. I believe the future of software isn't built with code alone, but through orchestrating intelligent entities that can reason and execute multi-step goals.
To get the most out of this course, we recommend having the following prerequisites:
Large Language Models are transforming software development. This advanced course covers the theory and practice of working with LLMs — from understanding transformer architecture to building production RAG systems and fine-tuning models for specific domains.
You will work with OpenAI, Anthropic, and open-source models, learning to build intelligent applications that leverage embeddings, vector databases, and retrieval-augmented generation.
$79.00
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