Data & AIAdvanced English Certificate
Deep Learning Specialization
Transformers, diffusion, and modern architectures.
4.8 · 9,140 reviews 96,410 enrolled 56h · 24 lessons Updated Jun 2, 2026
RM
Dr. Ravi Menon
Deep Learning Engineer
About this course
Go deep on the architectures powering today's AI. You'll implement attention from scratch, train a small transformer, and fine-tune diffusion models — with the path adapting to the gaps your assessments reveal.
What you’ll learn
Implement backpropagation and optimizers from scratch
Build CNNs for real vision tasks
Write a transformer block end to end
Fine-tune pretrained models efficiently
Understand diffusion and generative training loops
Profile and scale training runs
Prerequisites
· Comfort with data & ai fundamentals
Who this is for
· Learners with some data & ai experience
· Career-switchers building a portfolio in data & ai
· Students preparing for real-world outcomes and interviews
Estimated completion
56h total · about 14 weeks at 4h/week, or 7 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