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Deep Learning Specialization

Master neural networks from scratch

An intensive engineering track designed for those who want to build the future. We go beyond the APIs and frameworks to understand the calculus and linear algebra that powers modern AI. You will build neural networks from scratch before moving to PyTorch and TensorFlow.

4.9rating
1,200+students
12 Weeks
72lessons
Open for Enrollment

This course includes:

  • 72 technical lessons
  • 48 hours of video
  • Code repositories
  • 1-on-1 mentorship
  • Industry certificate
  • Lifetime access
Learning Outcomes

What You'll Learn

Master the math behind Neural Networks
Build and deploy models using PyTorch
Understand state-of-the-art architectures
Complete a production-level Portfolio Project
Contribute to open-source ML projects
Interview confidently for ML engineering roles
Curriculum

Course Content

Build neural networks from first principles

Logistic RegressionBackpropagationGradient Descent
Target Audience

Who Is This Course For?

Software Engineers

Developers wanting to transition to ML

Data Scientists

Analysts seeking deeper technical skills

Researchers

Academics exploring practical ML

AI Enthusiasts

Self-learners with strong math background

Ready to Start Learning?

Join 1,200+ students who have already transformed their careers with this course.