Agentic AI Internals: Build an Agent from Scratch

Agentic AI Internals: Build an Agent from Scratch is a deep-dive technical masterclass designed to strip away the abstractions often found in high-level AI tutorials. Instead of relying on 'black box' frameworks, this course empowers software engineers to peel back the layers of LangChain, understanding the core architectural decisions that make modern generative AI agents tick. You will move far beyond simple API calls by exploring the mechanics of ReAct prompting, Chain of Thought reasoning, and custom Context Engineering. This course is particularly valuable for developers who need to move from building prototypes to engineering production-grade, reliable agents. You will gain hands-on experience implementing RAG pipelines, managing vector databases like Pinecone and FAISS, and mastering the nuances of Model Context Protocol (MCP). By the end of this curriculum, you will not just be a consumer of LangChain; you will possess the specialized knowledge required to navigate the source code, debug complex agentic flows, and build custom-tailored LLM integrations that solve real-world problems. This is the definitive bridge between basic prompt engineering and sophisticated, autonomous AI system development.