PINNs Tech. Bootcamp
Dr. Mohammad Samara
Expert in AI , Simulation, Engineering
Become a true Expert in PINNs Tech and use it in your own project...
This is a Bootcamp designed to teach you the basics of PINNs Tech. all the way to be able to model complex problems such as solving fluid dynamics and structure analysis using PINNs and its related technologies, this course will target the following issues:
Understand the Math behind partial differential equations (PDEs).
write a code to solve the PDEs using Finite Difference Method (FDM).
Write and build Machine Learning Algorithms to solve PINNs tech. using Pytorch.
Build Machine Learning Algorithms to solve PINNs using NVIDIA PhysicsNeMo.
Use NVIDIA PhysicsNeMo to solve practical engineering problems for fluid dynamics, Heat transfer and structural analysis.
What you’ll learn
Covers FDM, PDEs, and PINNs related Tech. using PyTorch, and NVIDIA PhysicsNeMo for solving real-world scientific problems.
Every problem related PDEs are going to fully be explained.
Write and build Algorithms from scratch to sole the Finite Difference Method.
You will be able to write a code to solve a real problem using FDM using python.
These results will be used to compare it with the results for the PINNs tech solvers results.
Write and build Machine Learning Algorithms to solve PINNs, Inv-PINNs, and DNO using Pytorch.
Pytorch coding skills are important to understand how the calculation is made for PINNs tech problems.
Understand the general coding methods for Nvidia physics nemo.
Apply PINNs tech for fluid dynamics and structural analysis problems.
Apply PINNs tech for complex geometry.
Learn directly from Mohammad
Dr. Mohammad Samara
15 Years experience in Computation Models building, and Data based Modeling.
Who this course is for
Engineers and programmers who want to learn PINNs technology.
What's included
Live sessions
Learn directly from Dr. Mohammad Samara in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
May
1
Week One: Getting Started
Week 2
May
6
Week Two: Physics Informed Neural Networks (PINNs)
Schedule
Live sessions
6-8 hrs / week
We will code together and make sure we understand PINNs from the basics of PDEs to applying them into a real project problem.
Fri, May 1
12:00 PM—6:00 PM (UTC)
Wed, May 6
12:00 PM—6:00 PM (UTC)
Wed, May 13
12:00 PM—7:00 PM (UTC)
Projects
3 hrs / week
We will have some optional homework if someone wants to learn more features and get more experienced in PINNs related tech.
Async content
3 hrs / week
I will provide you with some references to work with to learn more about the theory and application of PINNs.