AI System Development

Learn to leverage existing AI models through APIs. Understand authentication, rate limiting, error handling, and best practices for integrating ChatGPT, Claude, and other services.

Understand common patterns for building with generative AI including prompt chaining, few-shot learning, and structured outputs. Learn proven architectures for reliable AI systems.

Master LangChain, the leading framework for building LLM applications. Learn about chains, agents, memory management, and orchestrating complex AI workflows.

Build RAG systems that ground LLM responses in external knowledge. Learn about document processing, embeddings, vector databases, and retrieval optimization.

Design and implement AI agents that can reason, plan, and take actions. Learn about agent loops, tool use, and creating systems that solve complex problems autonomously.

Learn the Model Context Protocol, a new standard for integrating tools and data sources with AI models. Understand how MCP enables seamless AI-human collaboration.

Design and deploy production-grade AI systems. Learn about monitoring, evaluation, cost optimization, and operational best practices for LLM-powered applications.

Build sophisticated RAG systems with advanced retrieval strategies, query optimization, and knowledge synthesis. Learn about state-of-the-art approaches.

Implement security best practices, governance frameworks, and responsible AI principles in your AI systems. Understand risks and mitigation strategies.