Duration
AI tools for Content Creation
3 days
Overview
This course provides an overview into the world of generative artificial intelligence (AI) and the use of various generative models in numerous use cases. As a participant, you'll explore the key concepts, techniques, and best practices involved in working with generative models such as GAN, CLIP, Stable Diffusion, and LLMs.
Outline
- Exploring Generative AI
- Deep Learning Models
- Discriminative vs. Generative AI
- On why does Generative AI matter?
- Content Creation using generative AI
- Exploring Generative Adversarial Networks Approach and Techniques
- Image creation and generation
- Image Generation Applications
- Conditional GAN (cGAN)
- 3D-Object Generation
- Style GAN for face generation
- Fine Tuning GAN for your custom tasks
- Contrastive Language-Image Pretraining (CLIP) Approach and Techniques
- From GANs to CLIP
- Image To Text Applications
- Converting image to Text using CLIP
- Fine Tuning CLIP for your custom tasks
- Exploring Stable Diffusion Approach and Techniques
- Image creation and generation
- Text-to-Image Applications
- Image-to-Image Applications
- Data Augmentation with Stable Diffusion
- Stable Diffusion for face generation
- Fine Tuning Stable Diffusion for your custom tasks
- Large Language Models
- LLMs for embedding
- Applications of Natural Language Models in Generative AI
- Explore Generative LLMs (Large Language Models)
- Explore ChatGPT: Features & Capabilities
- Prompt Engineering
- Fine Tuning generative models
- Text Classification
- Text Summarization
- Questioning, Answering
Programme scope, delivery arrangements and suitability are confirmed during enquiry.