# AI-ML Companion

> AI-ML Companion (https://aimlcompanion.ai) is an interactive platform for learning AI and machine learning. 22 tracks and 300+ hands-on modules span Python and math foundations through deep learning, LLMs, agentic AI, MLOps, and cloud GenAI - taught with live animated visualizations, quizzes, and runnable Python, with narration in English, Hindi, and Spanish. Free tier: 8 complete tracks plus the first module of every premium track.

Key facts:
- Interactive visualizations, not passive video: learners watch algorithms operate (gradient descent stepping, attention weights lighting up) and experiment directly.
- 22 tracks: Foundations, Jupyter & Colab, Python for ML, SQL for Data, Linear Algebra, Probability Theory, Calculus, Optimization, Statistics, Information Theory, ML Algorithms, ML Pipeline, Deep Learning, LLM, Git & Version Control, MLOps & Deployment, Software Engineering for AI, Agentic AI & Multi-Agent Systems, Interview Q&A, AI Tools, AI on Cloud, Forward Deployment Engineering.
- Curated learning paths: Data Science and AI Engineering.
- Interview preparation: scenario-based Q&A across ML, LLMs, agents, and ML system design.
- Works in the browser as an installable PWA (mobile + desktop, offline-capable).

## Docs

- [Curriculum](https://aimlcompanion.ai/curriculum): every track with its modules
- [Learning Roadmap](https://aimlcompanion.ai/roadmap): structured paths from beginner to ML/AI engineer roles
- [Blog](https://aimlcompanion.ai/blog): articles and deep dives on ML, LLMs, and AI agents
- [Help & FAQ](https://aimlcompanion.ai/help): how the platform works, free vs premium
- [About](https://aimlcompanion.ai/about): what AI-ML Companion is

## Guides

- [What is RAG](https://aimlcompanion.ai/guide/what-is-rag)
- [Transformer Architecture](https://aimlcompanion.ai/guide/transformer-architecture)
- [Agentic AI](https://aimlcompanion.ai/guide/agentic-ai)
- [Gradient Descent](https://aimlcompanion.ai/guide/gradient-descent)
- [Generative AI](https://aimlcompanion.ai/guide/generative-ai)
- [Multi-Agent Systems](https://aimlcompanion.ai/guide/multi-agent-systems)
- [ML Interview Questions](https://aimlcompanion.ai/guide/ml-interview-questions)
- [LLM Interview Questions](https://aimlcompanion.ai/guide/llm-interview-questions)

## Optional

- [Pricing / Premium](https://aimlcompanion.ai/upgrade): free tier details and premium unlock
- [RSS feed](https://aimlcompanion.ai/feed.xml): blog updates