From neural networks to modern language models, explore how LLMs actually work, what they can do, and how to leverage them effectively. This course covers the technical foundations, agentic systems, hardware considerations, and real-world implementation strategies.

Learn to leverage intelligent tools in your design workflow, create better user experiences with machine learning-powered features, and design ethical, accessible interfaces. Covers intelligent design tools, user research, prototyping, conversational experiences, and responsible design principles.

Master the art of coding with AI assistants. Learn proven patterns, avoid common pitfalls, and build faster without sacrificing code quality. Covers prompt engineering, code review workflows, testing strategies, and maintaining control over agent-assisted code.

Learn to architect, deploy, and scale AI solutions using open source tools and models. Covers self-hosting LLMs, infrastructure setup, cost optimization, monitoring, and building production-ready AI applications from scratch.