A separate course · MLOps + LLMOps
AI Engineering
Most machine learning models never make it to production. The hard part was never the model. Learn to build everything around it: packaging, serving, pipelines, feature stores, monitoring, and production LLM systems. Interactive, diagram-driven, and built for engineers.
First 5 lessons free · then one-time ₹999 in India or $20worldwide · lifetime access
What you will be able to do
Run ML in production, not just in a notebook
Take a model out of a notebook and run it as a service that survives real production load
Build training pipelines that retrain automatically, with an evaluation gate and safe rollback
Kill train and serve skew with a feature store, and catch silent model decay with drift monitoring
Ship production RAG and LLM systems: vector search, fine-tuning, guardrails, and agents that do not run away
The curriculum
3 tiers, 7 chapters, 71 lessons
Each chapter is a focused sequence of visual, interactive lessons. We add lessons regularly, and lifetime access includes every one.
Start from why most models never ship. Packaging, serving, training pipelines, feature stores, registries, monitoring, and a first production RAG system: the building blocks every ML platform is made of.
The data and retrieval foundation every model depends on: batch and streaming ingestion, ETL and ELT, lakes and warehouses, validation and versioning, then production RAG and agents that stay reliable under real load.
Operating large language models in production: fine-tuning vs RAG, parameter-efficient tuning, the evaluation discipline the industry pays most for, prompt management, inference optimization, guardrails, and agent security.
How it works
Built to actually make it stick
Real architecture diagrams
Every system is drawn with the real tools you deploy: Docker, Kubernetes, MLflow, BentoML, Feast, Kafka, and more. Not boxes and arrows.
Interactive, not video
Slide-based lessons with step-by-step animated diagrams, runnable examples, and quizzes with instant feedback. You learn by doing.
Written and reviewed by engineers
Every lesson is technically reviewed for accuracy: real tools, real numbers, real trade-offs. No hand-waving.
Questions