Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[Unreleased]

Added

  • CAREER_ROADMAP.md — Target roles, skills matrix, 30-60-90 day plan, resume strategy, portfolio guide

  • INTERVIEW_PREP.md — 15 ML Q&A with answers, 4 coding problems, 3 system design walkthroughs, LLM/GenAI questions, behavioral prep

  • CODE_OF_CONDUCT.md — Contributor Covenant Code of Conduct

  • CHANGELOG.md — This file

Fixed

  • 15-ai-agents/README.md — Updated notebook listing to reflect all 9 notebooks (was showing only 6)

  • 08-rag/README.md — Removed reference to non-existent projects/ directory, updated module structure to match actual files

  • README.md — Removed non-existent 23-advanced-mathematics/ directory from structure, added missing 28-practical-data-science/

  • COMPARISON_MATRICES.md — Updated date to March 2026, added DeepSeek R1/V3, o3/o3-mini, Gemini 2.0 Pro models

  • 00-course-setup/README.md — Fixed script reference from view_progress.py to progress_tracker.py

[1.0.0] - 2026-03-06

Added

  • Initial release of Zero to AI curriculum

  • Numbered learning modules spanning setup, foundations, core AI, production topics, and advanced subjects

  • 900+ Jupyter notebooks across the repository

  • MASTER_STUDY_GUIDE.md with 3 learning tracks (AI Engineer, ML Engineer, Data Scientist)

  • checklist.md with comprehensive progress tracking (790+ items)

  • COMPARISON_MATRICES.md with decision guides for LLMs, vector DBs, embeddings, fine-tuning, deployment

  • REFERENCES.md with curated videos, repos, courses, papers, and communities

  • Support for multiple platforms: Colab, Kaggle, Replit, Codespaces, github.dev

  • Phase 24: Advanced Deep Learning (39 notebooks — GANs, VAEs, NeRF, Diffusion, BNNs)

  • Phase 25: Reinforcement Learning (6 notebooks — MDP, Q-Learning, TD Learning)

  • Phase 26: Time Series Analysis (6 notebooks — ARIMA, Prophet, Neural Forecasting)

  • Phase 27: Causal Inference (7 notebooks — DAGs, RCTs, Propensity Scores, DiD)

  • Phase 28: Practical Data Science (interview prep and hands-on practice)

  • Model landscape snapshot: 00-course-setup/2026_model_landscape.md

  • AI dev tools snapshot: 00-course-setup/ai_dev_tools_2026.md

Repository: zero-to-ai