AI Engineering from Scratch

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About Course

Learn AI Engineering from the Ground Up

This comprehensive course takes you from basic mathematics to deploying production AI agents. Every lesson includes an instructor video, runnable code, and an auto-graded quiz.

Course Outline

  • Phase 0: Introduction & Setup
  • Phase 1: Python Fundamentals
  • Phase 2: Linear Algebra
  • Phase 3: Calculus & Optimization
  • Phase 4: Probability & Statistics
  • Phase 5: Machine Learning Foundations
  • Phase 6: Neural Networks from Scratch
  • Phase 7: Deep Learning Architectures
  • Phase 8: Computer Vision
  • Phase 9: Natural Language Processing
  • Phase 10: Transformers & Attention
  • Phase 11: Large Language Models
  • Phase 12: Generative AI
  • Phase 13: Reinforcement Learning
  • Phase 14: MLOps & Deployment
  • Phase 15: AI Agents
  • Phase 16: RAG & Knowledge Systems
  • Phase 17: Evaluation & Testing
  • Phase 18: Production Systems
  • Phase 19: Capstone Project

Course content adapted from AI Engineering from Scratch by Rohit Ghumare (MIT License)

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Course Content

Phase 0: Setup And Tooling

Phase 1: Math Foundations

Phase 2: Ml Fundamentals

Phase 3: Deep Learning Core

Phase 4: Computer Vision

Phase 5: Nlp Foundations To Advanced

Phase 6: Speech And Audio

Phase 7: Transformers Deep Dive

Phase 8: Generative Ai

Phase 9: Reinforcement Learning

Phase 10: Llms From Scratch

Phase 11: Llm Engineering

Phase 12: Multimodal Ai

Phase 13: Tools And Protocols

Phase 14: Agent Engineering

Phase 15: Autonomous Systems

Phase 16: Multi Agent And Swarms

Phase 17: Infrastructure And Production

Phase 18: Ethics Safety Alignment

Phase 19: Capstone Projects