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.
Akshay Pachaar
99 posts published
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.
LLMs
A Free Mini Crash Course on AI Agents!
..powered with MCP + Tools + Memory + Observability.
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.
MCP Course
Testing and Security in MCP
MCP Part 6: An overview of testing using the MCP Inspector, and a discussion of common vulnerabilities, mitigation strategies, and MCP Roots.
MCP Course
Integrating Sampling into MCP Workflows
MCP Part 5: A deep dive into sampling, its working, code, use cases and best practices.
MCP Course
Building a Full-Fledged MCP Workflow using Tools, Resources, and Prompts
MCP Part 4: An in-depth exploration of MCP resources and prompts, followed by a hands-on demonstration of an MCP server utilizing tools, resources, and prompts for job search and analysis.
MCP Course
Building a Custom MCP Client
MCP Part 3: A step-by-step and from scratch implementation of the MCP client, plus a comparative overview of how MCP differs from both API and function calling.
MCP Course
Primitives, Communication and Practical Usage
MCP Part 2: An overview of key MCP primitives (capabilities), the MCP communication protocol and hands-on examples.
MCP Course
Background, Foundations and Architecture
MCP Part 1: An introduction to model context protocol (MCP), covering background, need and an overview of the architecture and operational mechanics.
LLM and Fine-tuning
Implementing LLaMA 4 from Scratch
A from-scratch implementation of Llama 4 LLM, a mixture-of-experts model, using PyTorch code.
AI Agents Course
10 Practical Steps to Improve Agentic Systems (Part B)
AI Agents Crash Course—Part 14 (with implementation).
AI Agents Course
10 Practical Steps to Improve Agentic Systems (Part A)
AI Agents Crash Course—Part 13 (with implementation).
AI Agents Course
Implementing Multi-agent Agentic Pattern From Scratch
AI Agents Crash Course—Part 12 (with implementation).
AI Agents Course
Implementing Planning Agentic Pattern From Scratch
AI Agents Crash Course—Part 11 (with implementation).
AI Agents Course
Implementing ReAct Agentic Pattern From Scratch
AI Agents Crash Course—Part 10 (with implementation).
AI Agents Course
A Practical Deep Dive Into Memory for Agentic Systems (Part B)
AI Agents Crash Course—Part 9 (with implementation).
AI Agents Course
A Practical Deep Dive Into Memory for Agentic Systems (Part A)
AI Agents Crash Course—Part 8 (with implementation).
AI Agents Course
A Practical Deep Dive Into Knowledge for Agentic Systems
AI Agents Crash Course—Part 7 (with implementation).
AI Agents Course
Advanced Techniques to Build Robust Agentic Systems (Part B)
AI Agents Crash Course—Part 6 (with implementation).
AI Agents Course
Advanced Techniques to Build Robust Agentic Systems (Part A)
AI Agents Crash Course—Part 5 (with implementation).
AI Agents Course
Building Flows in Agentic Systems (Part B)
AI Agents Crash Course—Part 4 (with implementation).
AI Agents Course
Building Flows in Agentic Systems (Part A)
AI Agents Crash Course—Part 3 (with implementation).
AI Agents Course
Agentic Systems 101: Fundamentals, Building Blocks, and How to Build Them (Part B)
AI Agents Crash Course—Part 2 (with implementation).
AI Agents Course
Agentic Systems 101: Fundamentals, Building Blocks, and How to Build Them (Part A)
AI Agents Crash Course—Part 1 (with implementation).
RAG Systems Course
16 Techniques to Supercharge and Build Real-world RAG Systems (Part 2)
A comprehensive guide with practical tips on building robust RAG solutions.
RAG Systems Course
16 Techniques to Supercharge and Build Real-world RAG Systems (Part 1)
A comprehensive guide with practical tips on building robust RAG solutions.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 9 (With Implementation)
A deep dive into ColPali for building vision-driven RAG systems (with implementation).
