This course contains the use of artificial intelligence.
Welcome to the most complete AI Engineering Bootcamp :)
This is not a theory course. From day one, you write real code, build real agents, and ship real systems. Whether you're a developer, data scientist, or complete beginner — by the end you'll be able to design, build, and deploy production-grade AI systems confidently.
What you'll build:
Conversational AI assistants with memory, tools, and streaming
RAG pipelines that load PDFs, CSVs, web pages, and query them with LLMs
Multi-agent systems with orchestration patterns: Sequential, Parallel, Loop, Swarm, Supervisor
Autonomous agents using ReAct, MCTS, BeamSearch, and Tree of Thoughts
Production-ready systems with guardrails, evaluation, observability, and HITL
Cross-framework agent networks via A2A protocol — connecting ADK, LangChain, LangGraph, and AG2
Technologies covered:
LangChain — LCEL chains, RAG, memory, MCP, agents
LangGraph — stateful graphs, persistence, Time Travel, Send API, Subgraphs
Pi — skills, extensions, slash commands, session trees, sub-agent patterns, JSONL branching
Archon — YAML pipelines, harness engineering, deterministic multi-agent orchestration
AG2 (AutoGen) — GroupChat, CaptainAgent, ReasoningAgent, DocAgent
Google ADK — callbacks, plugins, artifacts, evaluation, UserSimulator
A2A Protocol — agent interoperability across all frameworks
MCP — connect agents to GitHub, databases, filesystems, and any external tool
Every module follows a hands-on structure:
each lesson has working code, real tasks, quizzes, and a final project that ties everything together.
By the end of this course, you won't just understand AI — you'll build it.
P.S.
The course is currently in early access mode — 3 modules are already available.
Get in now at the lowest price. As new modules are added, the price will increase. The earlier you enroll, the more you save.
Lock in your spot today before the next price bump.