ai-ml Verified
AI ML with Python, Scikit and Fast API
Chapters
20
Topics
95
Duration
6 months
Level
Intermediate
Real internship
Curriculum + assessments + mock interview + capstone — not just videos.
Verifiable certificate
A public verify link you can pin on your LinkedIn profile.
AI-generated for you
A fresh, structured curriculum built specifically for the track you pick.
What you'll walk away with
Hands-on chapter assignments graded by AI
MCQs + flashcards per chapter to lock in concepts
One mock interview with AI feedback at the end
A capstone project that ships to your portfolio
Verifiable completion certificate
Daily pacing + streaks to keep momentum
Course outline
20 chapters · 95 topics
- 1.1Phase 1 Overview
- 1.21.1 · Framing the business problem first
- 1.31.2 · Choosing a realistic, messy dataset
- 1.41.3 · EDA that asks 'why?'
- 1.51.4 · Non-random missingness
- 1.61.5 · Imbalanced classes
- 1.71.6 · Feature engineering for messy interactions
- 1.81.7 · Avoiding data leakage
- 1.91.8 · Choosing the right metric
- 1.101.9 · Cost of FP vs FN
Start today
Ready when you are.
Create your account, pick your plan, and chapter one is right there.