← Playbooks
Practical AI
Master LLM APIs, RAG, and AI agents from first API call to a deployed product.
Generative AI is no longer just something to watch — it is now a production skill. This playbook gives you an implementation path from prompt engineering to deployed systems with observability and clear engineering trade-offs.
Playbook contents
01
LLM API & Prompt Engineering
Call LLM APIs, design reliable prompts, and manage structured outputs and costs in production.
02
RAG & Domain chatbot
Build a complete RAG system with embeddings, vector search, retrieval pipeline, and source-grounded answers.
03
AI Agents & Tool Calling
Build autonomous AI agents with tool calls, ReAct loops, and workflow orchestration patterns.
04
Capstone: deployed product
Build, deploy, and present a complete AI product from idea framing to production observability.