Hands-On Generative AI with Diffusion Models: Building Real-World Applications

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Nayan Saxena

33:52

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01 - Introduction

01 - Introduction to generative AI and diffusion models.mp4

00:46

02 - What you should know.mp4

00:45

03 - Exercise files.mp4

02:18

02 - 1. Unconditional Image Generation

01 - Unconditional image generation with diffusion models.mp4

02:20

02 - Demo Building an unconditional image generation model.mp4

02:11

03 - 2. Text-Guided Image Generation

01 - Text-guided image generation with diffusion models.mp4

01:43

02 - Demo Building a text-guided image generation model.mp4

02:18

04 - 3. Image-to-Image Translation

01 - Image-to-image translation with diffusion models.mp4

01:53

02 - Demo Building an image-to-image translation model.mp4

02:10

05 - 4. Image Inpainting

01 - Image inpainting with diffusion models.mp4

01:45

02 - Demo Building an image inpainting model.mp4

03:03

06 - 5. Improving Image Quality and Efficiency

01 - Deterministic generation for image improvement.mp4

01:39

02 - Exploring different schedulers for diffusion models.mp4

02:02

03 - Demo Deterministic generation in action.mp4

02:56

07 - 6. Reinforcement Learning (RL) and Music Applications

01 - Beyond images with diffusion models.mp4

02:13

02 - Demo Music generation with diffusion models.mp4

02:27

08 - Conclusion

01 - Next steps in building generation AI applications.mp4

01:23

Description

As AI and machine learning applications become increasingly powerful and pervasive, it’s essential that developers know how to apply generative models, regardless of their industry or current role. Given the projected future demand for AI professionals, this hands-on, skills-based course is designed to equip you with the tools and technical know-how required to get you up to speed building real-world applications and stay apace with current and emerging trends.

Learn how to leverage some of the most recent advancements in generative AI with diffusion models by exploring the power of the Hugging Face diffusers library. Join instructor and generative AI expert Nayan Saxena as he dives into unconditional image generation, text-guided image generation, image-to-image translation, the art of image inpainting, image quality and efficiency improvements, music generation, and more. By the end of this course, you'll be adept at applying these models in real-world scenarios.

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Artificial Intelligence

Nayan Saxena

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.