Laurence Moroney

It's been an amazing journey, working with a team of very talented and dedicated people at DeepLearning.AI -- and today it reaches its culmination in the launch of the PyTorch professional certificate that I had a joy to teach alongside friend and luminary Andrew Ng
The program consists of 3 courses:

📘 PyTorch: Fundamentals
📗 PyTorch: Techniques and Ecosystem Tools
📙 PyTorch: Advanced Architectures and Deployment

Build the foundation that makes advanced AI possible.

Start today 👉 https://hubs.la/Q03QMycl0

Finally available! It's been an amazing journey, and wonderful to work with everyone at DeepLearning.ai to bring this set of courses to the world. I hope you enjoy learning from it as much as I've learned creating it! :)

Best thing you'll read all week about developing AI models with PyTorch:

https://lnkd.in/gKmafSJk

My favorite quote:

"PyTorch’s device abstraction lets you write the same code and run it on CPUs, GPUs, and even Apple Silicon. It feels like the same computation is running everywhere — but under the hood, each device has its own entirely separate implementation.
When you call a tensor operation like matmul, PyTorch looks at the tensor’s metadata (e.g. device, dtype, shape) and dispatches to a specialized kernel: a device-specific, highly optimized implementation tailored for that particular hardware backend."