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Generative AI & Python & PyTorch: Navigating the AI Frontier

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Learn generative ai python skills to develop creative AI systems using PyTorch and real-world project implementations.

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Additional information

Additional information

Authors

Joseph Babcock, Raghav Bali

Published On

2025

Language

English

Format

pdf

Size (MB)

78.76 MB

Rating

โญ๏ธโญ๏ธโญ๏ธโญ๏ธโญ๏ธ 4.151

Description

Generative AI Python PyTorch

Generative AI Python PyTorch is your complete guide to mastering modern artificial intelligence development using the most powerful open-source frameworks. This course is designed for learners who want to understand how AI models like ChatGPT, DALLยทE, and Stable Diffusion are built, trained, and optimized using Python and PyTorch. Whether youโ€™re a beginner in AI or an experienced developer looking to upgrade your skills, this course helps you confidently navigate the frontier of generative AI.

Course Description

This in-depth training takes you from foundational AI concepts to advanced generative model design. Youโ€™ll learn how to implement and fine-tune neural networks capable of generating text, images, and music. Through practical coding exercises, youโ€™ll build transformer architectures, diffusion models, and variational autoencoders (VAEs). In addition, youโ€™ll gain insight into ethical AI development, data handling, and model deployment in production environments.

Unlike traditional courses, this program emphasizes hands-on experimentation. Youโ€™ll work directly with open-source datasets, leverage GPU acceleration, and integrate PyTorch Lightning for scalable training. Every lesson connects theory with real-world applications, ensuring you build valuable, market-ready AI skills.

What Youโ€™ll Learn

  • Fundamentals of Artificial Intelligence and Machine Learning.
  • Building and training generative models using PyTorch.
  • Understanding neural network architectures like CNNs, RNNs, and Transformers.
  • Implementing Variational Autoencoders (VAEs) and Diffusion Models.
  • Fine-tuning models for text, image, and voice generation tasks.
  • Using Python tools and libraries for data processing and visualization.
  • Deploying AI models to cloud-based environments and APIs.

Requirements

  • Basic understanding of Python programming.
  • Familiarity with linear algebra and probability concepts.
  • Access to a system capable of running PyTorch (GPU recommended).

About the Publication

This course is developed by industry experts with deep experience in artificial intelligence, data science, and software engineering. Each section is carefully crafted to align with current AI trends and research, providing you with not only theoretical depth but also practical relevance in todayโ€™s competitive tech landscape.

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By the end of this course, you will confidently build and deploy your own generative AI systems, harnessing the combined power of Python and PyTorch to create intelligent solutions that can transform industries.


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Additional information

Authors

Joseph Babcock, Raghav Bali

Published On

2025

Language

English

Format

pdf

Size (MB)

78.76 MB

Rating

โญ๏ธโญ๏ธโญ๏ธโญ๏ธโญ๏ธ 4.151

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