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Nitmonk

About

Teaching the engineering behind production AI

Nitmonk exists to take software engineers from zero to production-ready AI engineer — by teaching how real enterprise AI systems are actually built.

Mission

Most AI education stops at prompts. We start where production begins.

The gap between a working demo and a dependable production system is where careers are made — and where most tutorials go silent. Nitmonk is built to close that gap: agents, RAG, evals, reliability, cost and system design, taught the way enterprise teams actually work.

Think Frontend Masters, ByteByteGo and System Design Interview — but exclusively for AI Engineering.

  • 12 years in software engineering
  • Top Rated Plus on Upwork · $260K+ earned
  • Software Engineer → Team Lead → CTO → AI Architect
  • YouTube creator & community builder
Abhishek Gupta
Instructor

Abhishek Gupta

AI Architect & Founder, Nitmonk

New Delhi, India

Earned freelancing
$260K+
Upwork
Top Rated Plus
Job success
100%
Hours delivered
10,000+

The instructor

Meet Abhishek Gupta

Nitmonk is built and taught by Abhishek Gupta, a software engineer with 12 years in the industry — across roles as Software Engineer, Team Lead, CTO and AI Architect. As a Top Rated Plus freelancer on Upwork with $260K+ earned and a 100% job success score, the work has always been the same: build production-grade AI systems, autonomous agents and enterprise SaaS that integrate deeply with real business operations.

It wasn't a straight line — from a tea shop in Barhaj to an NIT to building enterprise AI. There were ups and downs, the failed bets and the hard pivots. Nitmonk distills those hard-won lessons so you can skip years of trial and error.

Read my full story

What we believe

Principles that shape every course

Engineering over hype

AI moves fast and the noise is deafening. Nitmonk cuts through it by teaching durable engineering fundamentals that outlast any single framework.

Production is the point

A demo that works once is not a system. We teach what it takes to design, deploy, observe and scale AI that real users depend on.

Learn by building

You don't become an engineer by watching. Every course is built around real projects you design, ship and can reuse at work.