A separate course · MLOps + LLMOps
ML Platform 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
Foundation to Advanced
Three tiers, 28 lessons and growing, each visual and interactive.
Foundation
The core of ML platform engineering.
- Why most ML models never ship (the production gap)
- Model packaging and containerization
- Model serving and inference APIs
- Training pipelines and orchestration
- Feature stores
- Model registry and versioning
- Monitoring and drift detection
- Scaling and GPU infrastructure
- Production RAG and LLM systems
- The full platform (capstone)
Intermediate
Data engineering for machine learning.
- Batch vs streaming data for ML
- Data ingestion pipelines and CDC
- ETL vs ELT
- Data lakes, warehouses, and lakehouses
- Data validation and quality
- Data versioning
- Data labeling and annotation
- Handling imbalanced and messy data
- Synthetic data generation
- Data contracts and schema management
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