$git clone https://github.com/genieincodebottle/generative-aiI built [AI-ML Companion](https://aimlcompanion.ai) - every AI, ML, GenAI and Agentic AI concept covered here, taught visually with animated diagrams, quizzes, and hands-on Python.
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| 14 | |
| 15 | ## 🎯 Learn AI/ML Interactively |
| 16 | |
| 17 | I built **[AI-ML Companion](https://aimlcompanion.ai)** - every AI, ML, GenAI and Agentic AI concept covered here, taught visually with animated diagrams, quizzes, and hands-on Python. |
| 18 | |
| 19 | **260+ modules • 20 tracks • 9 real-world projects • 11 tracks free to start** |
| 20 | |
| 21 | [](https://aimlcompanion.ai) |
| 22 | |
| 23 | <br> |
| 24 | Your go-to hub for end-to-end GenAI learning. ⭐ Star this repo to stay updated with the latest GenAI resources :) |
| 25 | |
| 26 | ## 📚 Table of Contents |
| 27 | - [Documentation & Learning Resources](#-documentation--learning-resources) |
| 28 | - [Practical Use Cases & Projects](#-practical-use-cases--projects) |
| 29 | |
| 30 | --- |
| 31 | |
| 32 | ## 📖 Documentation & Learning Resources |
| 33 | |
| 34 | ### 🎯 Getting Started |
| 35 | - **[GenAI Roadmap](./GenAI_Roadmap.md)** - Your complete learning path for GenAI |
| 36 | - **[AI/ML Roadmap](./docs/ai_ml_roadmap.pdf)** - Comprehensive AI/ML learning guide |
| 37 | - **[AI-ML Companion](https://aimlcompanion.ai/)** - Interactive AI/ML learning platform with 17 tracks, 250+ modules, visualizations, quizzes, and hands-on coding (ML fundamentals → LLMs → MLOps) |
| 38 | - **[Essential GenAI Terms](./docs/essential-terms-genai.pdf)** - Key terminology and concepts |
| 39 | - **[LLM Fundamentals](./docs/llm_fundamentals.pdf)** - Core concepts of Large Language Models |
| 40 | |
| 41 | ### 🧠 Core Concepts & Guides |
| 42 | - **[Vector Embeddings Guide](./docs/vector-embeddings-guide.pdf)** - Understanding vector representations |
| 43 | - **[Prompt Engineering](./docs/prompt_engineering.ipynb)** - Crafting effective prompts |
| 44 | - **[AI Patterns](./docs/ai-patterns.pdf)** - Top 25 AI design patterns |
| 45 | - **[ML Reference Guide](./docs/ml-reference-guide.pdf)** - Machine learning reference |
| 46 | |
| 47 | ### 🏗️ Architecture & Technical Stack |
| 48 | - **[GenAI Tech Stacks](./docs/genai-tech-stacks.pdf)** - Technology stack overview |
| 49 | - **[LLM Providers](./docs/llm_providers.pdf)** - Comparison of LLM providers |
| 50 | - **[Advanced RAG Decision Flow](./docs/advance-rag-decision-flow-chart.pdf)** - RAG architecture guide |
| 51 | - **[GenAI Project Lifecycle](./docs/genai-project-lifecycle.pdf)** - End-to-end project guide |
| 52 | |
| 53 | ### ☁️ Cloud Platform Guides |
| 54 | - **[GenAI on AWS](./docs/genai-with-aws-cloud.pdf)** - AWS implementation | [GitHub](https://github.com/genieincodebottle/rag-app-on-aws) | [YouTube](https://www.youtube.com/watch?v=x2P4Ee6PYNg) |
| 55 | - **[GenAI on Azure](./docs/genai-with-azure-cloud.pdf)** - Azure implementation guide |
| 56 | - **[GenAI on VertexAI](./docs/genai-with-vertexai.pdf)** - Google Cloud Vertex AI guide |
| 57 | |
| 58 | ### 💼 Career & Interview Preparation |
| 59 | - **[AI Scenario based Interview Q&A](https://aimlcompanion.ai/curriculum/interviewScenarios)** - ML/GenAI/Agentic AI Scenario based Interview Q&A |
| 60 | - **[GenAI |