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AI Engineer Bootcamp 1337 | AI Automation Agent RAG Finetune, AI Engineering Bootcamp: LLM, Agents, MCP, RAG, LangChain, LangGraph, AG2, ADK, A2A & Production Deployment.
Description
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
- 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.
Who this course is for:
- Aspiring AI Engineers who want to build real-world agent systems with LangChain, LangGraph, ADK, and AG2 from scratch.
- Software Developers looking to level up by adding AI automation, agents, and LLM integration to their skill set.
- Prompt Engineers who want to go beyond prompting and build full agentic pipelines with memory, tools, and RAG.
- Data Scientists who want to expand from analysis into building intelligent, production-ready AI systems.
- MLOps / DevOps Engineers interested in deploying, evaluating, and monitoring multi-agent AI systems in production.
- Generative AI Enthusiasts who want to understand how LLMs really work inside apps — chains, embeddings, RAG, fine-tuning.
- AI Content Creators & No-Code Users ready to step into code and build AI tools that automate their creative workflows.
- Product Managers & AI Product Builders who want hands-on understanding of what AI agents can and can’t do.
- Freelancers & Entrepreneurs who want to build and sell AI automation solutions, chatbots, and agent products.
- Students & Career Switchers with zero AI background who want a complete, practical path into the AI job market.
- NLP Engineers who work with text data and want to integrate LLMs, embeddings, and vector search into their stack.
- Researchers & Academics exploring applied AI — RAG, multi-agent systems, evaluation frameworks, and A2A protocols.
