LLMs
​Building a Browser Automation Agent​
...explained visually and with code.
Avi Chawla
410 posts published
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.
LLMs
[Hands-on] Make RAG systems 32x memory efficient!
...explained step-by-step with code.
![[Hands-on] Make RAG systems 32x memory efficient!](https://storage.ghost.io/c/3f/df/3fdf6ed2-17ac-4b12-a693-8078bd13e748/content/images/size/w400/2025/06/zep-claude-cursor.gif)
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.
Building Trustworthy Agentic/RAG Workflows
...explained step-by-step with code.
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.
LLMs
4 Stages of Training LLMs from Scratch
...explained visually.
MCP Course
Building with MCP and LangGraph
MCP Part 9: Building a full-fledged research assistant with MCP and LangGraph.
LLMs
Build a Multi-agent Content Creation System
...explained step-by-step with code.
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 Guidebook
MCP-powered Agentic RAG
Hands-on demo.
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.
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.
LLMs
Step-by-step Guide to Fine-tune Qwen3
100% locally.
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.
LLMs
3 Prompting Techniques for Reasoning in LLMs
...explained with visuals.
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.
LLMs
Build a Multi-agent Network with Agent2Agent Protocol
...explained step-by-step.
LLMs
3 Techniques to Train An LLM Using Another LLM
Techniques used in DeepSeek, Llama 4, and Gemma.
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.
MCP Guidebook
Building a 100% local MCP Client
...with complete code walkthrough and explanation.
AI Agents Course
10 Practical Steps to Improve Agentic Systems (Part B)
AI Agents Crash Course—Part 14 (with implementation).
