Free Demo Session  ·  No Card Required

See How AI Agent Demos
Become Production Services.

Register for a free demo session where you'll see how senior engineers convert a local AI agent workflow into a production-style API service using FastAPI, schemas, request IDs, trace IDs, health checks, and clean service boundaries.

✓ No Credit Card✓ No Commitment✓ Taught by Nachiketh Murthy✓ 100K+ Engineers Mentored
Free Demo Session
How Senior Engineers Convert AI Agent Demos into Production API Services
A focused engineering walkthrough · same teaching style used in the Bootcamp & Accelerators
🎓 1 Session  ·  Free
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Why a working AI agent script is still not a production service

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How FastAPI creates a clean service boundary around an agentic workflow

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Why request schemas and response schemas matter in real systems

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The difference between request ID and trace ID in production debugging

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

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

Most AI tutorials stop when the demo works once.

Production systems start after that. Real users bring unclear inputs. Tools fail. Costs need tracking. Logs must explain what happened. Systems need boundaries. Teams need contracts. This free session is designed to show you that difference clearly.

Register · Free Access

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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

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