EdX

Introduction to Generative AI (edX)

Offered by IBM,
Introduction to Generative AI (edX)

In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).
In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of Generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia.
Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of Generative AI.
This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives.
This course is part of the Generative AI for Everyone Professional Certificate.

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.
  • Describe the capabilities of generative AI and its use cases in the real world.
  • Identify the applications of generative AI in different sectors and industries.
  • Explore common generative AI models and tools for text, code, image, audio, and video generation.
  • Demonstrate the use cases of generative AI for text, image, and code generation.

Syllabus

Module 1: Introduction and Capabilities of Generative AI
• Video: Course Introduction
• Reading: Course Overview
• Reading: Program Overview
• Reading: Helpful Tips for Course Completion
• Video: Introduction to Generative AI
• Video: Capabilities of Generative AI
• Hands-on Lab: Generate Text using Generative AI
• Reading: Module Summary
• Practice Quiz: Generative AI and Its Capabilities
• Graded Quiz: Introduction and Capabilities of Generative AI
• Discussion Prompt: Introduce Yourself and Your Familiarity with Generative AI

Module 2: Applications and Tools of Generative AI
• Video: Applications of Generative AI
• Reading: Economic Potential of Generative AI
• Video: Tools for Text Generation
• Hands-on Lab: Text Generation in Action
• Video: Tools for Image Generation
• Hands-on Lab: Image Generation in Action
• Video: Tools for Audio and Video Generation
• Video: Tools for Code Generation
• Hands-on Lab: Code Generation in Action
• Reading: Module Summary
• Practice Quiz: Generative AI: Applications and Tools
• Graded Quiz: Applications and Tools of Generative AI
• Discussion Prompt: Generative AI in the Workplace

Module 3: Course Quiz, Project, and Wrap-up
• Glossary - Generative AI: Introduction and Applications
• Final Project: Generating Text, Images, and Code
• Graded Quiz: Generative AI: Capabilities, Applications, and Tools
• Reading: Congratulations and Next Steps
• Reading: Thanks from the Course Team

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Computer Science and Programming (edX) EdX
Tokyo Institute of Technology,TokyoTechX

Introduction to Computer Science and Programming (edX)

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simultation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to basics and key concepts of computer science. By following the lectures and exercises of this course you will have an understanding of algorithms and you will get a real experience of programming using the language Ruby.

Self Paced
Self-Paced
Ethics in AI Design (edX) EdX
Delft University of Technology,DelftX

Ethics in AI Design (edX)

Learn how to incorporate ethics into the development and implementation of AI systems. AI systems have a great potential to improve society, across a wide range of applications. The challenge is to do so responsibly. AI systems can lead to discrimination, loss of human control and a lack of explainability, to name a few ethical dilemmas they may present. Because of the great impact that AI and Machine Learning has (e.g. ChatGPT by OpenAI, or the use of ML for medical diagnoses), we need to ensure that we design and use them in a way that meets ethical standards.

Self Paced
Self-Paced
Chatbots for Instruction (edX) EdX
Georgia Institute of Technology,GTx

Chatbots for Instruction (edX)

Learn how chatbots can make ideal partners for students—as well as teachers—in instruction. Conversational AI tools like ChatGPT have taken the world by storm, and education is one of the biggest areas for potential impact. In this course, educators will learn about how to leverage these new technologies in instruction as partners to both teachers and students.

Self Paced
Self-Paced
Gobernanza de datos personales en la era digital (edX) EdX
The Pontificia Universidad Javeriana,JaverianaX

Gobernanza de datos personales en la era digital (edX)

Law

Aprende qué es la gobernanza de datos personales y desarrolla habilidades para diseñar e implementar leyes y políticas públicas en materia de datos personales en la era digital. Este curso en línea te ayudará a comprender qué es la gobernanza de datos, los criterios que deben tener en cuenta quienes formulan política públicas al momento de redactar o desarrollar leyes, regulaciones o políticas en materia de protección de datos y privacidad, así como aspectos prácticos de los programas de gobernanza de datos.

Self Paced
Self-Paced
Introduction to ChatGPT. Boost your productivity to the maximum using artificial intelligence! (edX) EdX
Universitat Politècnica de València,UPValenciaX

Introduction to ChatGPT. Boost your productivity to the maximum using artificial intelligence! (edX)

Have you heard about ChatGPT and want to learn how to use it to increase your productivity at work radically? Then, this is the course for you. Here, you will learn about its advantages and disadvantages, and different ways to create effective prompts. You will also see examples of its use in tasks as diverse as drafting an instance to a City Council, summarizing a document, enhancing your writing for emails, translating documents, or using it to create Excel formulas and macros.

Self Paced
Self-Paced
Tech for Good: The Role of ICT in Achieving the SDGs (edX) EdX
SDGAcademyX,SDG Academy

Tech for Good: The Role of ICT in Achieving the SDGs (edX)

What opportunities and challenges do digital technologies present for the development of our society? Tech for Good was developed by UNESCO and Cetic, the Brazilian Network Information Center’s Regional Center for Studies on the Development of the Information Society. It brings together thought leaders and changemakers in the fields of information and communication technologies (ICT) and sustainable development to show how digital technologies are empowering billions of people around the world by providing access to education, healthcare, banking, and government services; and how “big data” is being used to inform smarter, evidence-based policies to improve people’s lives in fundamental ways.

Self Paced
Self-Paced
AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX) EdX
Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems. In this course you will learn the basics of several machine learning topics to help you solve real life challenges. Unsupervised learning techniques such as clustering and dimensionality reduction are useful to make sense of large and/or high dimensional datasets that are not annotated. Deep learning is a supervised learning technique that is useful to train neural networks to solve more complicated classification and regression tasks. Finally, reinforcement learning techniques can be used to train AI agents that interact with an environment.

Self Paced
Self-Paced