Awesome AI Guide

Welcome to Your AI Journey

Awesome AI Guide is your comprehensive resource for mastering artificial intelligence, from foundational concepts to production-ready implementations. This guide covers everything you need to know about AI Agents, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and the Model Context Protocol (MCP).

Created by Deepak Kamboj, a Senior Software Engineer and AI Solution Architect at Microsoft with 24 years of broad experience in the IT industry and 8+ years specializing in Enterprise Architecture and Solution Architecture. He leads the development of agentic workflows and Model Context Protocol (MCP) servers that power cutting-edge automation and intelligent systems.

Deepak Kamboj - Senior Software Engineer and AI Solution Architect at Microsoft

Deepak Kamboj
Senior Software Engineer
Microsoft Corporation

Deepak's extensive career spans enterprise-scale AI frameworks, cloud solutions, and advanced testing automation using Playwright. He is recognized for his leadership in driving innovations around multi-agent systems, end-to-end workflow orchestration, and generative AI for test creation and DevOps. His work has resulted in significant organizational impact, including cost reductions exceeding $400k annually and productivity improvements across dozens of engineering teams.

As a Copilot Champion and active participant in Microsoft Hackathons from 2021-2025, Deepak has served both as a contributor and advisor, helping shape the future of AI-powered development tools. He is passionate about empowering technical teams through practical AI solutions, robust automation frameworks, and knowledge sharing through technical publications and presentations.

Education

B.Tech. in Computer Science & Engineering (1997-2001)
India

Awards & Achievements

Recent Recognition

  • Copilot Champion - Microsoft AI Development Excellence
  • BIC March 2024 Quality Stars Award - Microsoft Azure Quality Division
  • Microsoft Hackathon Participant & Advisor (2021-2025) - Multi-year contributor to innovation initiatives

Publications & Research

  • White Paper: "Social Commerce – Social Media in the Retail Industry" - Industry analysis and strategic recommendations

Professional Excellence Awards

  • Insta Award - Engineering Service (2016) - Outstanding service delivery
  • Award for Excellence (2014-2015) - Technical leadership and innovation
  • ENG Pinnacle Award 2014-2015 - Achiever Award - Top performer recognition

Professional Certifications

  • MSTS - Microsoft Technology Specialist
  • MCPS - Microsoft Certified Professional
  • MCSA - Microsoft Certified Solutions Associate
  • SCJP - Sun Certified Java Programmer

Deepak's combination of deep technical expertise, architectural thinking, and proven track record of delivering enterprise-scale solutions makes him uniquely qualified to guide readers through the complexities of building production-ready AI systems.

Guide Motivation

Awesome AI Guide was born from the author's experience building production AI systems and recognizing the gap between simple tutorials and real-world applications. This comprehensive guide bridges that gap by providing practical, production-ready patterns, architectures, and implementations across multiple AI domains.

What You'll Learn

This guide is structured into four comprehensive modules:

🤖 AI Agents

  • Agent architecture and design patterns
  • Multi-agent systems and collaboration
  • Tool integration and workflow orchestration
  • Production deployment strategies

🔍 Retrieval-Augmented Generation (RAG)

  • Document processing and text splitting
  • Embedding systems and vector databases
  • Advanced retrieval strategies
  • Production RAG deployment

🧠 Large Language Models (LLMs)

  • Model fundamentals and architectures
  • Fine-tuning and optimization
  • Deployment and scaling
  • Performance monitoring

🔗 Model Context Protocol (MCP)

  • Protocol architecture and specifications
  • Server and client implementations
  • Integration patterns
  • Best practices and optimization

Contact and Community

Acknowledgments

This guide would not have been possible without:

  • The open-source AI/ML community
  • Contributors to frameworks like LangChain, OpenAI, Anthropic, and others
  • Technical reviewers and community feedback
  • The broader AI research and development community

Guide Updates

This is a living resource that evolves with the rapidly changing AI landscape. Updates and additional content are regularly published:

  • Continuous Updates: New techniques, frameworks, and best practices
  • Community Contributions: Examples, case studies, and implementation patterns
  • Industry Insights: Latest developments in AI agents, RAG, LLMs, and MCP

Getting Started

Ready to begin your AI journey? Start with any module that interests you:

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