Program Outline
Introduction to Physics-Informed Machine Learning With NVIDIA Modulus
Introduces Modulus and the basics of physics-informed deep learning for faster simulation-driven workflows.
Delivery
Virtual, On-site, or Hybrid
Duration
2 hours
Product
NVIDIA Modulus
Role
Scientific ML Practitioner
NVIDIA
Deep LearningIntroduction to Physics-Informed Machine Learning With NVIDIA Modulus
NVIDIA Modulus
Best Fit
Audience Profile
Who This Program Is For
Built for teams bringing machine learning into engineering and scientific simulation workflows.
Overview
Program Summary
Official NVIDIA self-paced course introducing physics-informed machine learning with NVIDIA Modulus.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Use ML for simulation-heavy problems
+
Module 1
Use ML for simulation-heavy problems
Learn the basic ideas behind physics-informed deep learning and NVIDIA Modulus.
- Physics-informed ML foundations
- Modulus workflow basics
Coverage Areas
Topic Coverage
Coverage Item 1
Physics-informed ML foundations
Coverage Item 2
Modulus workflow basics
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your simulation domain scenario
