Overview
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Advance your AI engineering skills through this comprehensive 57-minute course that covers essential patterns and practices for building production-ready AI applications. Explore language user interface design patterns and dive deep into Retrieval-Augmented Generation (RAG) for enhanced information retrieval and generation capabilities. Master function calling techniques for structured outputs and effective tool integration, then examine agents and cognitive architectures that power intelligent systems. Learn practical approaches to shipping machine learning and AI products while implementing robust monitoring and observability tools for LLM applications. Develop expertise in evaluating large language models to ensure optimal performance and reliability in real-world deployments. Led by Charles Frye from the acclaimed Full Stack LLM Bootcamp, this advanced course provides the critical knowledge needed to bridge the gap between AI concepts and production implementation.
Syllabus
00:00 Intro
01:09 Patterns for Language User Interfaces
06:19 RAG: Information Retrieval for Generation
21:52 Function Calling: Structured Outputs and Tool Use
35:03 Agents and Cognitive Architectures
40:52 Shipping to Learn in ML + AI
45:42 LLM Monitoring and Observability Tools
49:42 Evaluating LLMs
55:48 Inspirational Outro
Taught by
AI Engineer