An intensive, hands-on workshop where your team builds real agentic systems — from LangGraph workflows to MCP servers — with the trainer who scored 4.91/5.0 at Oracle.
"This course significantly expanded my understanding of modern agent architectures. The hands-on experience with LangGraph was particularly impactful."
Five days. Fifteen sessions. One hundred and nineteen labs. Your team goes from zero to building production-ready AI agents with observability, safety guardrails, and MCP integration.
"The 5-day agents workshop was extremely valuable. We actually built and implemented agents step by step. It was one of the most useful and actionable workshops I've attended."
Youssef G. — Oracle"Rajesh delivered a highly practical, hands-on program and worked closely with everyone. I highly recommend it to anyone looking to gain real hands-on experience."
Joseph A. — Workshop Participant📚 Take the learning home — the companion book covers every lab in writing
📖 AGENTIC AI: The Practitioner's Guide → 🛒 Amazon India 🇮🇳 🛒 Amazon US 🇺🇸From AI agents to Kubernetes operations — comprehensive training programs tailored for Fortune 500 engineering teams.
LangChain, LangGraph, RAG, MCP, Langfuse, AI Safety. Build production-ready multi-agent systems.
Integrate AI agents into your DevOps workflows. Automated incident response, intelligent CI/CD, smart monitoring.
Production-grade K8s operations, CKA/CKAD/CKS preparation. Real clusters, not simulations.
Container fundamentals to advanced orchestration. Image optimization, security best practices, multi-stage builds.
Jenkins, GitHub Actions, GitOps with ArgoCD. End-to-end automated deployment pipelines.
Prometheus, Grafana, OpenTelemetry. Full-stack monitoring and alerting for cloud-native systems.
Aggregated feedback from 200+ participants across 14 training batches since 2024.
"This course significantly expanded my understanding of modern agent architectures and tooling. I gained valuable clarity on MCPs, which I previously hadn't explored in depth, and I was introduced to Langfuse for the first time. The hands-on experience with LangGraph was particularly impactful — I now understand the nodes, edges, and conditional edges. Overall, the course strengthened my practical understanding of how to build more reliable, traceable, and resilient AI agents."
"The sessions were highly interactive, with multiple hands-on labs and plenty of time for Q&A. I especially enjoyed the final session on building our own MCP server — it was both interesting and very practical."
"Rajesh was attentive, supportive, and clearly passionate about teaching. I highly recommend it to anyone looking to gain real hands-on experience with AI agents."
Chief Architect · Corporate Trainer · Author
All packages include the full curriculum, hands-on labs, and completion certificates. Customized to your team's skill level.
If your team doesn't achieve at least 40% faster deployments within 90 days, we refund 100% AND pay you $1,000 for wasting your time. Never paid out in 8 years.
Build Production-Ready AI Agents with LangChain, LangGraph, RAG, MCP, and FastAPI
505 pages · 119 hands-on labs · By Rajesh Gheware
Reach out to discuss your team's AI training needs. We'll assess your current state, identify the highest-impact opportunities, and design a custom training plan — all through a simple conversation.
Join 500+ AI engineers getting weekly agent patterns and lab code.