AI Agents & Foundations
Learn the building blocks behind LLM-powered agents, from prompts and embeddings to production data flows
Build a clear foundation for working with AI agents. The course connects LLM fundamentals, embeddings, LangChain architecture, API pipelines, prompt engineering, agentic design patterns, structured data shapes, and a practical cloud architecture into one coherent learning path.
Course Snapshot
Instructor
Vivid Labs
Access
Free — full course
Catalog Slot
AI Agents & Foundations
Chapter List
Start with the core ideas behind large language models and the concepts you will use throughout the agent-building workflow.
Learn how embeddings represent meaning and where they fit inside the components and data flow of a LangChain application.
Connect model API calls into reusable LangChain pipelines and understand how data moves between prompts, models, and outputs.
Tags
Use clear instructions, context, examples, and output constraints to create prompts that produce more dependable results.