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Overview
This course is designed for enthusiasts and practitioners who share an interest in the rapidly advancing field of generative AI. This course centers around the core concepts and generative AI models that form the building blocks of generative AI. You will delve into the concepts of deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models the fundamental components of generative AI. You will learn about the concept of foundation...
Syllabus
Module 1: Models for Generative AI
- Video: Course Introduction
- Reading: Course Overview
- Reading: Program Overview
- Reading:ful Tips for Course Completion
- Video: Deep Learning and Large Language Models
- Video: Generative AI Models
- Video: Foundation Models
- Hands-on Labs: Generative AI Foundation Models
- Reading: Module Summary
- Practice Quiz: Core Concepts and Models of Generative AI
- Discussion Prompt: Working with Foundation Models
- Reading: IBM Granite Foundation Models
- Graded Quiz: Models for Generative AI
Module 2: Platforms for Generative AI
- Video: Pre-trained Models: Text-to-Text Generation
- Hands-on Lab: Develop AI Applications with the Foundation Models
- Video: Pre-trained Models: Text-to-Image Generation
- Video: Pre-trained Models: Text-to-Code Generation
- Hands-on Lab: Develop AI Applications for Code Generation
- Video: IBM watsonx.ai
- Video 5: Hugging Face
- Reading: Module Summary
- Practice Quiz: Pre-trained Models and Platforms for AI Applications Development
- Graded Quiz: Platforms for Generative AI
Module 3: Course Quiz, Project, and Wrap-up
- Glossary - Generative AI: Foundation Models and Platforms
- Final Project: Working with IBM Granite Foundation Models
- Graded Quiz: Generative AI: Foundation Models and Platforms
- Reading: Congratulations and Next Steps
- Reading: Thanks from the Course Team
Instructor
Rav Ahuja
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