Free Demo Session  ·  No Card Required

Your Agent Works.
Now See What Production Asks For.

Where you are right now: the agent runs on your machine and the output looks right. The gap: a service also has contracts, schemas, request and trace IDs, health checks, failure modes and a cost line. Where this takes you: a clear read on which of those you already handle and which you don't. The path starts with one free session — a local agent workflow converted into a production-style FastAPI service, live, so you can measure the distance yourself before committing to anything.

✓ No Credit Card✓ No Commitment✓ Taught by Nachiketh Murthy✓ 100K+ Engineers Mentored
Free Demo Session
Watch a Local Agent Workflow Become a Production API Service
A focused engineering walkthrough · same teaching style used in the Bootcamp & Accelerators
🎓 1 Session  ·  Free
✓

Why a working AI agent script is still not a production service

✓

How FastAPI creates a clean service boundary around an agentic workflow

✓

Why request schemas and response schemas matter in real systems

✓

The difference between request ID and trace ID in production debugging

✓

How tenant ID, user ID, and session ID help structure enterprise AI systems

✓

Why senior engineers think beyond tools: contracts, reliability, observability, and failure modes

Systems ship. Demos don’t.

Most tutorials stop when the demo works once. Production starts after that. Real users bring unclear inputs. Tools fail. Cost needs tracking. Logs have to explain what happened. Boundaries and contracts have to exist. This free session shows you that difference in one sitting, on real code.

Register · Free Access

See the gap for yourself — registering takes 30 seconds.

Enter your details below. You get access to the free demo session and the learner WhatsApp group, where session links, notes and next-step guidance are shared.

Please complete the required fields to continue.
You'll be redirected to your access page right after. Your details stay private.
Nachiketh Murthy
Your Instructor
Nachiketh Murthy
Manifold AI Learning · 100K+ Engineers Mentored
"Most people stop when the AI demo works once. Senior engineers start asking: how will this behave when real users, failures, cost limits, logs, and service boundaries enter the picture?"

Who this session is for

Software / Backend Engineers

You build services for a living and want to understand how an agentic workflow fits behind a real API boundary.

DevOps / Cloud Engineers

You care about contracts, health checks, observability, and how AI workloads behave once they leave a notebook.

Data / ML / AI Engineers

You can get an agent working locally and want a clearer picture of what it takes to expose it as a production service.

Engineers Preparing for AI/GenAI Interviews

You want to explain agentic systems, schemas, and observability with the precision senior engineers expect.

A note on fit: This session is not for people looking for no-code prompt tricks or surface-level tool demos. It is for builders who want to understand architecture, trade-offs, and production boundaries.
Optional · Only if useful

After the demo, you’ll know which gap to close first.

⭐ Recommended · Live Cohorts

Go from demo to shipped systems — Enterprise Mastery

What you see in this session is what the bootcamp works through in depth. New to the agentic stack? Nothing is required first — Agentic AI Enterprise Mastery includes Python Foundations for Agentic AI and LangChain Agentic AI Foundations free, so the entry gap is handled before week one. Already building agents? Go straight in and ship one production system end to end. Next cohort Class 1 runs 11 October 2026.

Enterprise Mastery →
Interview Prep

Agentic AI Interview Playbook

Best for engineers who want to explain AI/GenAI systems clearly in interviews.

Explore Interview Playbook →
System Design

AI Architect System Design — Think Like a Senior Engineer

Best for engineers who want stronger system design and architecture thinking.

Explore AI System Design →