MLOps/LLMOps Course
Reproducibility and Versioning in ML Systems: Weights and Biases for Reproducible ML
MLOps Part 4: A practical walkthrough of W&B-powered reproducibility.
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MLOps/LLMOps Course
Reproducibility and Versioning in ML Systems: Fundamentals of Repeatable and Traceable Setups
MLOps Part 3: A practical exploration of reproducibility and versioning, covering deterministic training, data and model versioning, and experiment tracking.
MLOps/LLMOps Course
The Machine Learning System Lifecycle
MLOps Part 2: A deeper look at the ML lifecycle, plus a minimal train-to-API and containerization demo using FastAPI and Docker.
MLOps/LLMOps Course
Background and Foundations for ML in Production
MLOps Part 1: An introduction to machine learning in production, covering pitfalls, system-level concerns, and an overview of the full ML lifecycle.
MCP Course
Building with MCP and LangGraph
MCP Part 9: Building a full-fledged research assistant with MCP and LangGraph.
MCP Course
Practical MCP Integration with 4 Popular Agentic Frameworks
MCP Part 8: Integration of the model context protocol (MCP) with LangGraph, LlamaIndex, CrewAI, and PydanticAI.
MCP Course
Sandboxing in MCP
MCP Part 7: A deep dive into understanding sandboxing and its need in MCP.
LLM and Fine-tuning
A Beginner-friendly and Comprehensive Deep Dive on Vector Databases
Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo.
