· Live 2-weekend cohort · Production Agentic System · Starts Aug 22
Build production AI systems,
not tutorial demos.
· Multi-Agent System · MCP · Production AI Architecture · AWS Deployed
Guided by Sanjay Kumar (17+ Years Exp - Claude Certified AI Architect)
Built for Engineers
This is a hands-on course. Concepts are explained using Python and FastAPI and assumes you can already write code. Across 4 live sessions you'll build a single production-grade agentic AI system for a simulated bank — starting from a naive chatbot that hallucinates data, and ending with a multi-agent, MCP-based system with authentication, guardrails, observability, and a real AWS deployment. Each session adds the next component, and each component exists because it's triggered by the same kind of failure a real engineering team would hit in production.
This course is for you if,
✓ You've developed APIs and backend systems before, in any language.
✓ You want to go beyond AI tools and deliver real-time AI systems.
✓ You want to see why each piece of a production AI system exists
✓ You'd rather spend 2 weekends building projects than 40 hours watching AI videos.
This course is NOT for you if,
✕ You're brand new to programming. This course assumes you can already code.
✕ You want a self-paced recording. This cohort is live and weekend-scheduled.
✕ You're looking for a prompt-engineering cheat sheet. This goes into the infrastructure.
✕ You want to stay in a notebook. This is built around real APIs and real deployment
I'm Sanjay Kumar,
Senior Cloud Architect · 17+ years · Anthropic CCA-F certified
I have spent 17+ years building enterprise software, architecting cloud solutions and deploying AI systems for large enterprises.
Somewhere along the way, I noticed a gap: Engineers were learning AI through toy demos and prompt tutorials. Nobody was teaching what it actually takes to ship an AI system, with real APIs, real data pipelines, proper error handling, and a cloud deployment that doesn't fall apart under load.
Today I teach production-grade AI engineering through hands-on projects: RAG pipelines, AI agents, multi-agent systems, and MCP-based applications — all deployed, all real-world, all in Python. My YouTube channel has helped over 52,000 learners understand that AI engineering is a craft, not a shortcut.
If you're a developer who wants to go beyond AI tools and wrappers and build AI systems you're proud to put on your resume, you're in the right place.
By the end, you'll have shipped —
01
A multi-agent customer-support system for a simulated bank, with a coordinator and domain-specific sub-agents.
02
Tools wired to MCP servers, with schemas as contracts across every domain. Agents access tools via MCP servers.
03
Production prompt engineering and prompt versioning — prompts as version-controlled, rollback-able code.
04
Authentication, role-based authorization, and a full guardrail stack: prompt-injection defense, PII redaction, and output filtering.
05
Session and conversation-memory management, backed by Redis.
06
Observability, an evaluation suite, and a containerized deployment to AWS.
Founding cohort pricing — locks after 50 seats.
₹6899 ₹4499
40% founding cohort discount — one-time
✓ 4 live sessions, 6:00–9:00 PM IST
✓ Recordings of every session if you miss one
✓ All code and datasets from every build
✓ Direct Q&A access during sessions
✓ All projects deployed and live
All projects deployed to a live endpoint — portfolio-ready.