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Deep Learning Specialization

Transformers, diffusion, and modern architectures.

4.9 · 6,820 reviews 32,400 enrolled 60h · 19 lessons Updated September 1, 2026
LC
Prof. Liam Chen
Deep learning researcher

About this course

Transformers, diffusion, and modern architectures. This adaptive path continuously calibrates its pace, examples, and drills to your evolving mastery — no two learners see the same sequence.

What you'll learn
  • Build a transformer
  • Train a diffusion model
  • Fine-tune LLMs
  • Deploy on GPUs
Skills you'll gain
ai
llm
advanced
Problem solving
Applied practice
Prerequisites
  • · Python
  • · Linear algebra
Who this is for
  • · Advanced learners pushing to expert
  • · Career-switchers building a portfolio in data & ai
  • · Students preparing for real-world outcomes and interviews
Estimated completion

60 hours total · about 15 weeks at 4h/week, or 8 weeks intensive.

Difficulty: Advanced

Career outcomes
  • · Portfolio-ready projects for job applications
  • · Verifiable skill assessments embedded in every certificate
  • · Interview prep drills and mock reviews