Generative AI Computer Vision Specialization | Level2

Enhance your Computer Vision Skills to solve real world problems using Generative AI

Duration

7.5 Hours

Level

Intermediate Level

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As per your team needs

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Welcome to a course tailored for seasoned professionals eager to integrate cutting-edge GenerativeAI concepts into real world image generation scenarios within the industry. In this course, we will thoroughly explore advanced GenerativeAI concepts and their exceptional relevance to modern image synthesis. Prepare to immerse yourself in the forefront of technology, as we dive into the latest state-of-the-art Generative Models like autoencoders, the innovative MidJourney, the revolutionary OPENAi DALLE-2 model, and the Diffusers. By revisiting and fortifying our grasp of GenerativeAI’s pivotal role, we will effectively equip ourselves to mold and define the landscape of image synthesis in real-world contexts.

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Developers and software engineers interested in learning GenerativeAI
Computer Vision engineers looking to implement GenerativeAI models in various industry use cases.
AI enthusiasts and professionals aiming to build intelligent and innovative solutions
Even Data scientists and machine learning practitioners seeking to enhance their skills in working with GenAI models

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Recap of Generative AI

Recap of GenerativeAI & its applications in Image generation
Review the basics of Generative Models – autoregressive models, variational autoencoders, and generative adversarial networks (GANs)

Generative AI for Image Generation

Deepdive into Generative AI
- Multimodal Models
- Generative Models
- Generative Video
- Generative Audio
Conditional Image Generation based on class labels or text description
Understanding OpenAI’s DALL-E Image Generation Process
Overview of the Vision Transformer (ViT)
- How ViT outperform current SOTA CNNs
- Scaling Up
- High-Performing Large-Scale Image Recognition
- Visualizations
Building Diffusion Models from Scratch
- Starting with Noise and Progressing to Final Images
- Developing Intuition at Each Step
MidJourney: Demonstration App
Lab(s): DALL-E 2
Concluding Thoughts on Generative Models

Use Case and Handson

DreamBooth motivation – Presentation
DreamBooth: Demonstration App

Lab Exercise Using

Fine-tune text-to-image Stable Diffusion model

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Participants should have attended Generative AI Specialisation Computer Vision | Level 1 course or have an equivalent knowledge.

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Generative AI Computer Vision Specialization | Level2

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