EulerFold
AI/ML & Scientific Computing

Physics-Informed Neural Networks (PINNs)

4 weeks
0 Learners
Jul 23

Embed differential equations (ODEs/PDEs) directly into neural network loss functions using PyTorch and Automatic Differentiation.

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About this Course

Embed differential equations (ODEs/PDEs) directly into neural network loss functions using PyTorch and Automatic Differentiation. This AI/ML & Scientific Computing curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 4 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Master the core concepts of mathematical foundations of pinns.
Gain hands-on experience with solving ordinary differential equations (odes) with pytorch.
Understand the architecture behind solving partial differential equations (pdes).
Implement production-grade inverse problems & parameter estimation.

Prerequisites

intermediate Level

Requires basic familiarity with the tech stack.

  • TCP/UDP fundamentals
  • Socket programming basics

Ideal for

Scientific Computing Researchers

AI/ML & Scientific Computing Professionals
Tech Enthusiasts
W1

Mathematical Foundations of PINNs

Master the core concepts of mathematical foundations of pinns.

4 videos118m
3 readings
4 topics
1 homework
Learn
W2

Solving Ordinary Differential Equations (ODEs) with PyTorch

Gain hands-on experience with solving ordinary differential equations (odes) with pytorch.

4 videos58m
3 readings
4 topics
1 homework
Learn
W3

Solving Partial Differential Equations (PDEs)

Understand the architecture behind solving partial differential equations (pdes).

4 videos65m
3 readings
4 topics
1 homework
Learn
W4

Inverse Problems & Parameter Estimation

Implement production-grade inverse problems & parameter estimation.

4 videos123m
3 readings
4 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

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