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Growth Paths / AI Engineering 2: ML Fundamentals
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AI Engineering 2: ML Fundamentals

21 free lessons, then a project of your own.

21 free lessons, then a project of your own. Free lessons, a free self-check, and real work confirmed by 3 people. Part of the Varsity Curriculum: AI Engineering, adapted from AI Engineering from Scratch (MIT License).

Part of: AI Engineering · Proves for: UG

2 required outcomes1 weeksCredential on completion

Path outcomes

How this is verified: 2 are checked automatically, then confirmed by one person; 2 are confirmed by people who saw the work.

Skills

Learn Machine Learning Basics

Phase 2 — reuses an outcome Powstik already has.

Take this Challenge →

2 milestones

  1. 1Do the course work in public
  2. 2Train a model on real data
Skills

Build Machine Learning Projects (Udacity Intro to ML)

Phase 2 — reuses an outcome Powstik already has.

Take this Challenge →

2 milestones

  1. 1Do the course work in public
  2. 2Find a pattern in real data

Resources for this path

No affiliate links. No sponsored placements.

The course map this path is adapted from (MIT License).

Every lesson and its code, free.

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).

Lesson in Phase 2 (free, MIT License).