AI-ML Companion - Learn AI and Machine Learning
AI-ML Companion is an interactive platform for learning AI and machine learning by watching it work. 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 visualizations, quizzes, and runnable Python, in English, Hindi, and Spanish. Free to start.
Learning 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
From the blog
- Inside a Production Multi-Agent GenAI System
- ML System Design Patterns
- How to Evaluate AI Systems with Real Code
- How to run Claude Code cheaply on a big codebase
- Is Agentic AI just Old Software Engineering with New Names?
- Interview question, debug an AI agent that is only sometimes wrong
- What Breaks when a Million People use your AI App
- The Real Obstacle to Learning AI
- The Mathematical Symbols of AI & ML
- Sakana Fugu, a team of LLMs working as one
- The Agentic AI Glossary, every term you need to know
- Prompt Engineering was never the end goal. Welcome to Loop Engineering.
- Why Building with AI feels less exciting than it should
- Production AI Engineering in 2026
- The Fresher Playbook for AI Engineering Placements in India 2026