IBM - Generative AI: Foundation Models and Platforms
- Offered byCoursera
Generative AI: Foundation Models and Platforms at Coursera Overview
Duration | 6 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI: Foundation Models and Platforms at Coursera Highlights
- Earn a certificate from IBM
- Add to your LinkedIn profile
- November 2023
- 5 assignments
Generative AI: Foundation Models and Platforms at Coursera Course details
- What you'll learn
- Describe the fundamental concepts of generative AI and its core models
- Explain the concept of foundation models in generative AI
- Explore the capabilities of pre-trained models for AI-powered applications.
- Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face
- This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world.
- The course focuses on the core concepts and generative AI models that form the building blocks of generative AI. You will explore deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models; the building blocks of generative AI. You will become familiar with the concept of foundation models. You will also learn about the capabilities of pre-trained models and platforms for AI application development and how foundation models use them to generate text, images, and code. You will explore different generative AI platforms like IBM watsonx and Hugging Face.
- Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through the IBM generative AI classroom and platforms like IBM watsonx. In this course, you will explore different models, such as IBM Granite, OpenAI GPT, Google flan, and Meta Llama. You will also hear from expert practitioners about the capabilities, applications, and tools of generative AI.
Generative AI: Foundation Models and Platforms at Coursera Curriculum
Models for Generative AI
Course Introduction
Deep Learning and Large Language Models
Generative AI Models
Foundation Models
Course Overview
Specialization Overview
Helpful Tips for Course Completion
Lesson Summary
IBM Granite Foundation Models
Graded Quiz: Models for Generative AI
Practice Quiz: Core Concepts and Models of Generative AI
Hands-on Lab: Generative AI Foundation Models
Working with Foundation Models
Platforms for Generative AI
Pre-trained Models: Text-to-Text Generation
Pre-trained Models: Text-to-Image Generation
Pre-trained Models: Text-to-Code Generation
IBM watsonx.ai
Hugging Face
IBM watsonx.data and watsonx.governance
Lesson Summary
Graded Quiz: Platforms for Generative AI
Practice Quiz: Pre-trained Models and Platforms for AI Applications Development
Hands-on Lab: Develop AI Applications with the Foundation Models
Hands-on Lab: Develop AI Applications for Code Generation
Key Players in AI
Course Quiz, Project, and Wrap-up
Generative AI: Foundation Models and Platforms at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?