Generative AI, from GANs to CLIP, with Python and Pytorch

Learn to code with the most creative and exciting AI architectures, generative AI networks, from basic to advanced

4.54 (4104 reviews)

Udemy

platform

English

language

Data Science

What you will learn

How to code generative A.I architectures from scratch using Python and Pytorch

How generative architectures work, in great depth, from GANs to multimodal A.I, understanding every little detail in the process

In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures

Examples: We will code a generative network that produces human faces, and also combine two advanced networks to transform text prompts into amazing images.

Examples: We will learn to edit the clothes of a person in a picture by combining a segmentation architecture with the Stable Diffusion generative model

Special Bonus Section: Journey to the latent space of a neural network, learn in depth how the networks that power Generative AI learn their mappings

Special Bonus Section: Experience a guided visualization to exercise the generative model in your head while you learn many things about neural networks

Why take this course?

April 2024 Update: Two new sections have been added recently.
New Section 5: learn to edit the clothes of a person in a picture by programming a combination of a segmentation model with the Stable Diffusion generative model.
New bonus section 6: Journey to the latent space of a neural network - dive deep into the latent space of the neural networks that power Generative AI in order to understand in depth how they learn their mappings.
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Generative A.I. is the present and future of A.I. and deep learning, and it will touch every part of our lives. It is the part of A.I that is closer to our unique human capability of creating, imagining and inventing. By doing this course, you gain advanced knowledge and practical experience in the most promising part of A.I., deep learning, data science and advanced technology.

The course takes you on a fascinating journey in which you learn gradually, step by step, as we code together a range of generative architectures, from basic to advanced, until we reach multimodal A.I, where text and images are connected in incredible ways to produce amazing results.

At the beginning of each section, I explain the key concepts in great depth and then we code together, you and me, line by line, understanding everything, conquering together the challenge of building the most promising A.I architectures of today and tomorrow. After you complete the course, you will have a deep understanding of both the key concepts and the fine details of the coding process.

What a time to be alive! We are able to code and understand architectures that bring us home, home to our own human nature, capable of creating and imagining. Together, we will make it happen. Let's do it!

Screenshots

Generative AI, from GANs to CLIP, with Python and Pytorch - Screenshot_01

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Generative AI, from GANs to CLIP, with Python and Pytorch - Screenshot_04

Reviews

Ankita

September 20, 2023

Javier's energy and love for the topic makes this course and learning more interesting than it is. Amazing experience. Thank you.

Rakesh

September 14, 2023

The instructor has made sincere effort to make the classes engaging and active. Really enjoyed every bit of this series. Thanks

Luis

August 31, 2023

Some errors come due to libs not being version locked but help is provided in the Q&A so everything works with a little tweaking. You can mount your drive to save your data in there instead of in the the environment provided by google. Also download the the stuff that needs to be download and put it on your drive, it will be faster and you won't be consuming the resources of those orgs every time you run the code.

Abhinav

August 29, 2023

This is a good course but requires prerequisite of information engineering and little bit of advanced maths.

Oskar

August 27, 2023

Perfect for me! If I was just starting out with deep learning, I couldn't have followed along, but because I already knew about deep learning this course was amazing! I had trouble understanding a few things but with the help of google and ChatGPT conversations, I was able to understand the things. Thanks Javier

Stephane

August 22, 2023

au début la formation est bien, mais quand cela arrive a la partie avancée, il donne de moins en moins d'explications, a la fin il y a une partie "morphing" qui a mon avis n'a rien a faire la, aucune explication donnée. formation a eviter a mon avis

Harsh

August 4, 2023

As you said there are so many courses, I am already an AI practitioner. I have a habit to link AI models like a story. You have clearly created a story ho AI is revolving after supervised/self supervised learning not for engineers but also for curious minds belonging to different academia

NEERAJ

July 18, 2023

It's a good course to be able to quickly explore various facets of generative AI, machine learning etc and spans various aspects. The course is pretty understandable till we create basic GAN. Beyond that e.g. Advanced GAN onwards, things become exponentially difficult and though the author tries to explain, I think it's simply not possible to explain or understand those in the given amount of time. I suggest to increase the course duration a bit and explain those concepts as well in more depth by going a bit slow. Even recommend some youtube videos which could be better at explaining those concepts.

Edgar

July 17, 2023

A really wonderful course about Generative AI, from basic to more advanced, it you would want to get more in depth explanation about GAN architecture, loss functions, etc, you should probably look into another course, but for practical experience this is really great.

Marco

July 12, 2023

Great introduction to the topic, would have liked more details on the reasoning behind some of the design choices during the coding sessions, especially after Section 3. A pretty good course overall.

Dimitrios

July 12, 2023

Great and detailed so far, one thing I would love more would be the more detailed explanation of the math. E.g. why do we take this specific product of P(x)*log(Q(x)) and not Q(x)*log(P(x)).

Michael

June 29, 2023

It's pretty good, the guy knows what he's talking about, there's a bit of an entertainment quality to some of the presentations. The exercises seem well chosen.

Ihor

June 5, 2023

That was truly an amazing course! I have learned a lot and liked it so much! I was impressed by Javier's passion on the subject, it definitely made my learning more interesting and engaging! Thank you!

Pranshu

June 3, 2023

Though having some issues in understanding the instructor ( its the accent). But till this point enjoyed the information that is put up in the course.

Julia

May 26, 2023

one of the best instructors on udemy, the previous 2 courses i bought were useless with some guys reading through code - Javier does an amazing job explaining all the details with such high energy!

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