Preorder: Walk with fastai - the missing pieces for success

PREORDER: Walk with fastai - the missing pieces for success

What is fastai? How does it relate to PyTorch? And how do you go from a basic user to a power user with ease?

Welcome to Walk with fastai, your next favorite course around the fastai framework! In this course I will take you from a mild understanding of PyTorch and some Python experience into a fastai expert with a broader understanding of how it all works, when to apply what, and how to avoid the most common pitfalls within the framework.

Along with this, I will be teaching concepts that aren't taught (or taught at an introductory level) in the official fastai courses with some of them having not been taught for over 4 years in fast.ai, let alone in the latest version of the library!

Come with me on a journey to take you from "Deep Learning is cool" to "Deep Learning is cool, and I know how to do it well"

What does this course include?

With your purchase you will receive*:

• Access to attend the course live with me through YouTube, where you can ask questions and learn with a cohort of other individuals*

• A collection of 7 lectures given by me**
• Exclusive access to the new Walk with fastai course page, which includes extensive notes, sidebars, and details for each lecture
• Access to all notebooks presented in the course***
• Access to the community discord, where we can all hang out and talk about nerdy fast.ai or PyTorch things and network

Topics covered:

• The basics of the fastai framework
• Using custom models and optimizers
• Practical Kaggle competition applications
• Distributed data parallelism
• Big data
• nbdev and fastcore
• And more!
  

Prerequisites:

• High school math
• At least 6-12 months of coding (preferably in Python)

Preorders:

Preordering the course and having faith in me is something I value dearly. As a result, if you choose to preorder before the course goes live you can join me live on stream as I teach where you can ask questions as it happens and you will have access to those livestreams until the edited versions of the lectures get released and added. You will also receive weekly updates towards the progress of how the course is coming along until its release.

If you do not preorder, you will have access to the edited versions of the video only as they are released.

What others say about the original Walk with fastai:

Zach Mueller is probably the most active member of the fastai community. He is also very actively involved with fastai development. If there is one person who understands the fastai library through and through (apart from Jeremy Howard and Sylvain Gugger), that is certainly Zach! He went out of his way to create a fabulous learning resource for us, Walk With Fastai. Numerous notebooks explaining how to work with the library to achieve wonderful results. A must read! - Radek Osmulski, Senior Data Scientist at NVIDIA AI

"Walk with Fastai is the best source available for utilizing fastai and goes above and beyond what is available in the documentation. Zach somehow extracted all of the knowledge I wanted to know about fastai and combined it into blog posts, videos, and source code that are easy to follow and build on. If you want to use fastai, this is a great resource to reference. I've had to go back and forth a couple of times between the best source (between it and fastbook) and I think I've gotten more out of Walk with fastai." - Kevin Bird

"I really enjoyed the vision section Zach’s Walk with fastai series. His extension of the fastai keypoint example from a single point to multipoint was really great and importantly included covering the basics of doing ML well such as cleaning the data, ensuring the transforms make sense and so forth before starting any modelling - super critical to teaching deep learning. I loved that he then goes deeper and shows off how to customize a UNET for key point regression (because why not!) and really get the most out of the fastai API. Highly recommended as an accompaniment to the fastai course!" - Morgan McGuire, Growth ML Engineer at Weights and Biases

Your addendum course videos in Walk with fastai is so super useful. I've learnt so much more about using fastai effectively in new problem spaces by combining Jeremy's lessons with your own, and am still learning as I am still progressing through them. - Nissan Dookeran

Footnotes:

*- Only available to those who preorder before the official start date of lesson 1

**- For preorders, they will have access to the full stream immediately. For non-preorders, you will have access to the edited YouTube video once it is posted through the course website

***- These notebooks will contain only the code for each lecture, and are Apache licensed. Material on the website is protected by copyright laws.