30-Day “No-Math-Panic” AI Checklist

Learn AI in 30 Days (Without the Math Panic)

Feeling overwhelmed by all the AI resources out there? This 30-day checklist is your guided roadmap to go from zero to hands-on AI projects—without drowning in equations.

✅ What’s Inside

• Week 1: Python you’ll actually use (NumPy, pandas, plots)
• Week 2: Machine Learning fundamentals (regression, classification, features, ensembles)
• Week 3: Colab + Deep Learning (transfer learning, NLP, Hugging Face pipelines)
• Week 4: Kaggle sprint, GitHub repo, and polished portfolio project

Preview of the product

📦 You’ll Get

• A daily step-by-step checklist (study, code, log)
• Mini projects at the end of each week
• Kaggle competition guidance with a final portfolio-ready project
• A clear Definition of Done for Day 30 (3 notebooks, 1 Kaggle submission, 1 portfolio entry)

🎯 Who is this for?

• Beginners who want to start AI without a PhD in math
• Career switchers looking to build a portfolio in 1 month
• Students who need a structured learning path
• Professionals who want to add AI to their toolkit

By the end of 30 days, you’ll have real projects on GitHub, a Kaggle submission under your belt, and a portfolio entry you can proudly share on LinkedIn.

⚡ Start today, and future-you will thank you.