Most AI training is recycled tutorial content delivered by someone who has never operated an agent in production. This is the opposite: every module comes from a system I run live — Yuvan, a voice-first AI tutor on LangGraph, RAG, and OpenAI Realtime with 5 paying schools. Your team trains on your stack, your data, your use cases.
What Your Team Will Learn
A curriculum built from production, tuned to your level and stack
LangGraph & orchestration
Stateful agent graphs, persistence, human-in-the-loop, retries, and failure isolation — the backbone of reliable agents.
MCP (Model Context Protocol)
Build MCP servers, expose tools and resources safely, and wire agents to real systems with proper permissions.
A2A & multi-agent patterns
Agent-to-agent communication, supervisor and router topologies, and when multi-agent is (and isn't) the answer.
RAG & grounding
Chunking, embeddings, pgvector, hybrid search, semantic caching, and retrieval evals — answers grounded in your data.
Evals & reliability
LangSmith evals, agent traces, verifier patterns, guardrails — making non-deterministic systems trustworthy.
Voice AI agents
OpenAI Realtime, WebRTC, latency budgets, barge-in — for teams building voice-first products.
Training Formats
Corporate Team Training
Your engineering team, upskilled together.
- Half-day to multi-week programs
- Live online or in-person
- Built around your codebase
1:1 Private Training
Individual engineers, accelerated.
- Personalized curriculum and pace
- Your project as the material
- Async support between sessions
Train-the-Team Sprint
Training embedded in a real build.
- Build a working agent together
- Patterns transferred by doing
- Team owns the result
Frequently Asked Questions
How do I hire an agentic AI trainer for my team?
Email arjun@arjunthakur.dev or book a free intro call with your team size, skill level, and goals. You'll get a proposed curriculum, format, and timeline — typically within 48 hours.
What topics does the training cover?
LangGraph, RAG, MCP, A2A and multi-agent patterns, evals with LangSmith, guardrails, and voice AI agents — tuned to your team's stack and level.
What makes this different from a course platform?
It comes from an engineer running a production agentic AI product with paying customers. Sessions work on your team's actual use cases, not canned exercises.
Do you offer 1:1 agentic AI training?
Yes — private 1:1 training and mentoring, remote, scheduled around your time zone.
Can training be customized to our codebase?
Yes — the most effective format uses your repos and your product as the working material.
Related Pages
Agentic AI Training (Curriculum) →
The full curriculum, prerequisites, and outcomes.
All Training Programs →
LangGraph, RAG, MCP, voice agents, system design.
AI Workshop Facilitator →
One-off hands-on workshops for teams and events.
Hire an Agentic AI Developer →
Prefer it built for you? Freelance / contract builds.