├── LICENSE
└── README.md


/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2024 Panaversity
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
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/README.md:
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 1 | # Learn Generative AI with PyTorch
 2 | 
 3 | This repo is part of the [Certified Cloud Native Applied Generative AI Engineer](https://docs.google.com/document/d/15usu1hkrrRLRjcq_3nCTT-0ljEcgiC44iSdvdqrCprk/edit?usp=sharing) program. It covers the first quarter of the course work:
 4 | 
 5 | ## Quarter 5: Learn Generative AI with PyTorch
 6 | 
 7 | Generative AI tools like ChatGPT, Gemini, and DALL-E have revolutionised our professional landscape. This hands-on course, “Master Generative AI with PyTorch,” guides you through the exciting process of building and training AI models using Python and the versatile, open-source PyTorch framework, all with the hardware you already have. You’ll delve into the core concepts of Generative Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more. Along the way, you’ll gain practical experience and a deep understanding of these cutting-edge technologies.
 8 | 
 9 | [Deep Learning with PyTorch, Second Edition](https://www.manning.com/books/deep-learning-with-pytorch-second-edition)
10 | 
11 | [Learn Generative AI with PyTorch](https://www.manning.com/books/learn-generative-ai-with-pytorch)
12 | 
13 | [Book Code: Learn Generative AI with PyTorch](https://github.com/markhliu/DGAI)
14 | 
15 | [Mastering PyTorch - Second Edition: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond](https://www.amazon.com/Mastering-PyTorch-powerful-learning-architectures/dp/1801074305/ref=sr_1_2)
16 | 


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