Learn AI/ML interactively at AI-ML Companion - Guided walkthroughs, architecture decisions, hands-on challenges, and narrated overviews for every project.

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🔗 Quick Links

Interactive Roadmap | GenAI Essential Terms | AI/ML/Agentic AI Interview Q&A | GenAI Interview Q&A | Agentic AI Interview Q&A | GenAI Usecases | n8n Automation | GenAI on Azure | GenAI on AWS | GenAI on VertexAI |

📦 Comprehensive Prep Resources

Each phase is split by week and builds progressively.

Tip: Expand or collapse each phase as you go using dropdowns (▸) to get all the relevant links.

Phase 1: Foundation (Week 1-2)

Topics	Core Material	Additional Resources	Code
AI vs ML vs DL vs GenAI	Video	GenAI Glossary Essential Terms (PDF) What is ML - interactive
GenAI Intro	GenAI in Nutshell, LLMs by 3b1b	What is Generative AI (guide) LLMs & GenAI - interactive LLM Blog
Python Basics	Crash Course, ML Crash	GitHub - Awesome Python Python for ML track - interactive
ML & DL Basics	ML 101, Neural Networks	Crash DL ML Algorithms track - interactive Deep Learning track - interactive

Phase 2: NLP & Transformer Core (Week 3-4)

Topics	Core Material	Additional Resources	Code
NLP Basics	YT - What is NLP?	LLM track - interactive Word Embeddings - interactive
Inside the Transformer	1. YT - Transformer Explained Visually by 3b1b 2. Blog - The Illustrated Transformer by Jay Alammar	Transformer Architecture (guide) Transformer Internals - interactive Attention Explained - interactive Positional Encoding - interactive
Tokenization & Embeddings	Blog - BPE Explainer (HuggingFace)	1. Blog - Embedding Explained 2. Blog - Vector Db Explained 3. Tokenization - interactive 4. Embeddings - interactive 5. Vector Databases - interactive	GitHub

Phase 3: LLM Fundamentals (Week 5-6)

Topics	Core Material	Additional Resources	Code
Multimodal LLMs Basics	YT - How do Multimodal AI models work?	Multimodal LLMs - interactive
Mixture of Experts (MoE)	1. YT - What is Mixture of Experts? 2. Blog - Visual Guide to MoE	Blog - Huggingface MoE Mixture of Experts - interactive
Open Weight LLMs (HF & Ollama)	1. YT - Huggingface LLMs Locally 2. YT - Ollama	1. Open-Weight Models - interactive 2. HuggingFace in Practice - interactive	1. GitHub-HF 2. GitHub-Ollama
AI Frameworks	1. LangChain 2. LlamaIndex	1. LangChain Basics - interactive 2. Choosing a Framework - interactive
Prompt Engineering	Coursera Specialization	Kaggle Whitepaper Prompt Engineering - interactive Advanced Prompting - interactive	GitHub

Phase 4: RAG & Agentic Systems (Week 7-8)

Topics	Core Material	Additional Resources	Code
Retrieval-Augmented Generation (RAG)	1. Blog - Advance RAG Techniques 2. PDF - RAG Decisions	1. What is RAG (guide) 2. RAG End to End - interactive 3. Graph RAG - interactive 4. Adaptive RAG - interactive	1. GitHub - Advanced RAG (Graph RAG, Agentic RAG, Multimodal RAG etc) 2. GitHub - Microsoft's Agentic RAG
Agentic AI	1. Blog - Building Agents (Claude) 2. Huggingface Agents Course	1. Agentic AI (guide) 2. Agentic AI track - interactive 3. ReAct Pattern - interactive 4. Multi-Agent Patterns - interactive 5. Blog - Chip Huyen 6. Google Whitepaper	1. GitHub-Agentic AI 2. GitHub-NirDimant 3. LangGraph

Phase 5: Optimization & Evaluation (Week 9-10)

Topics	Core Material	Additional Resources	Code
Fine Tuning	YT - Shaw Talebi	1. Fine-Tuning - interactive 2. RLHF - interactive	1. GitHub-ShawhinT 2. GitHub-Unsloth
Inference Optimization & Quantization	1. Course - Quantization in Depth 2. Blog - GGUF 3. Blog - GGML	1. Unsloth 2. GPTQModel 3. LLM Inference - interactive 4. Quantization & Compression - interactive
Knowledge Distillation	Blog - Huggingface	Distillation - interactive
LLM Evaluation	1. Guide - LLM Evaluation 2. Tool - RAGA 3. Tool - Opik 4. Tool - DeepEval	1. LLM Evaluation - interactive 2. Agent Evaluation - interactive 3. Blog

Phase 6: Deployment & LLMOps (Week 11-12)

Topics	Core Material	Additional Resources	Code
LLMOps	1. Coursera Specialization 2. Deeplearning AI Course	1. MLOps track - interactive 2. MLOps Intro - interactive 3. Agent Observability - interactive
GenAI in Production	YT - RAG App on AWS	1. Cloud GenAI track - interactive 2. Deploying Agents - interactive	GitHub Code
Safety & Alignment	1. LlamaGuard 2. Prompt Guard	1. LLM Security - interactive 2. Hallucinations - interactive 3. Agent Guardrails - interactive 4. Constitutional AI	Work in Progress
LLM Leaderboard	1. Chatbot Arena 2. Artificial Analysis AI 3. Aider

🛠️ Tools | Frameworks

Category	Link
IDE & Dev Playground	Colab NoteBook, Kaggle Notebook, VSCode, Claude Code
LLM Aggregators	litellm, Openrouter, Aisuite
Agentic AI Frameworks	CrewAI, Relevance AI, LangGraph, SuperAGI, SmolAgent, OpenAI Agent SDK, Google's ADK Learn interactively: CrewAI, LangGraph, OpenAI Agents SDK
AI Automation (Workflow + AI Integration)	n8n, Zapier, Make
Cloud Agentic Framework	Microsoft Agent, AWS Bedrock Agent
Model Context Protocol (MCP)	YT- MCP Clearly Explained YT- MCP Crash Course for Python Developers Official Claude Doc GitHub-Awsome MCP Servers MCP Protocol - interactive
Agent2Agent Protocol (A2A)	Video - Demo Specification GitHub A2A Protocol - interactive
AI Coding Assistants	Claude Code, Gemini CLI, Cursor, Bolt, Lovable, Replit, V0
Learning Platform	AI-ML Companion - Interactive AI/ML learning platform with 22 tracks, 300+ modules, visualizations, quizzes, and hands-on coding (ML fundamentals → LLMs → MLOps)

💡 GenAI Use Cases

Usecase	Link
Example Code for Running API-Based LLM	Groq, Claude, OpenAI, Gemini, DeepSeek, Cohere
Example Code for Running LLMs Locally	HuggingFace, Ollama Local, Ollama at Colab, LMStudio
Run FastMCP based Websearch Remote MCP Server Locally	GitHub
Production-Grade GenAI on AWS: RAG with Remote MCP Server	YouTube GitHub
Llama 4 Scout – All-in-One App for Chat, OCR, RAG & Agentic AI with CrewAI	GitHub
Advanced Snapshot-Based PDF Parsing using Docling, Markitdown, Gemini, Llama 4, Claude, GPT-4 & more	YouTube GitHub
Optical Character Recognition Using Advanced Vision-Language Models	GitHub
Chat with Neo4j Graph DB	YouTube GitHub
LLM-Based Chatbot for SQL Data Interaction	GitHub
LLM-Driven Chatbot to Interact with CSV Data	YouTube GitHub
Cache-Augmented Generation (CAG)	GitHub
AI Chat Analyzer for ChatGPT & Claud	GitHub

🔖 Key Downloads

Category	Links
Prompt Engineering	GitHub
RAG	Pdf
Agentic AI	GitHub
Misc	Embedding Models, GenAI Project Lifecycle

The PDFs above are point-in-time snapshots. The always-current versions live on AI-ML Companion: GenAI Interview Questions · Agentic AI Interview Questions · LLM Interview Questions · ML Interview Questions · AI Engineer Interview Questions

📄 Imp Research Papers

Title	Links
Kimi K2: Open Agentic Intelligence	Link
Gemini 2.5	Link
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning	Link
DeepSeek-V3 Technical Report	Link
Mixtral of Experts	Link