Introduction to Generative AI from edX

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.

What's inside

Learning objectives

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.

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

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Exposes learners to generative AI, which is highly relevant to technology and related fields

Led by an experienced instructor

Balances theory with practice through hands-on labs

Facilitates a holistic understanding of Generative AI

Features practical demonstrations through real-time use cases

Suitable for learners of all levels

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Generative AI with these activities:

Review Generative AI fundamentals

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Refreshes your understanding of the foundational concepts of generative AI, ensuring you have a solid base for the course.

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Read articles or blog posts on generative AI fundamentals
Review your notes or past coursework on generative AI (if applicable)
Take practice quizzes or tests to assess your understanding

Practice solving generative AI problems

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This activity will help you refresh your knowledge and skills in generative AI, ensuring you have a strong foundation for the course.

Browse courses on Generative AI

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Review basic concepts of generative AI and LLMs
Practice writing text prompts for generative AI models
Experiment with different generative AI tools and platforms

Review Python Fundamentals

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Review the basic concepts of Python programming to enhance comprehension during the course.

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Go over Python data types, variables, and operators.
Review control flow statements (if-else, loops).
Practice writing simple Python functions.

Ten other activities

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Explore generative AI use cases and applications

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This activity will expose you to the practical applications of generative AI, helping you understand its real-world use cases and potential.

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Read articles and watch videos on generative AI applications
Attend webinars or online workshops on generative AI use cases
Explore case studies and examples of generative AI in different industries

Explore Generative AI Libraries and Frameworks

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Expand your knowledge by exploring popular libraries and frameworks for generative AI development.

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Identify relevant libraries (e.g., Transformers, Hugging Face).
Find tutorials or documentation for these libraries.
Follow tutorials to implement generative AI models.

Practice Text Generation

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Sharpen your text generation skills through regular practice.

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Use online tools like GPT-2 or Grover to generate text
Experiment with different prompts and parameters
Evaluate the quality and diversity of generated text

Generate Creative Text with Generative AI

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Experiment with generative AI tools to create unique and engaging text-based content.

Browse courses on Generative AI

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Choose a generative AI tool (e.g., GPT-3, BLOOM).
Provide a prompt or seed text.
Generate text and refine it for creativity and coherence.

Explore Image Generation Applications

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Enhance your knowledge of image generation applications and best practices.

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Follow tutorials on image generation tools such as DALL-E 2 or Stable Diffusion
Learn about different image styles, resolutions, and file formats

Practice Text Generation with Prompts

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Enhance your understanding of text generation by practicing with various prompts.

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Create a list of diverse prompts.
Generate text using generative AI tools for each prompt.
Analyze the generated text for quality and relevance.

Practice generating text, images, and code with generative AI tools

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This activity will provide you with practical experience in using generative AI tools to generate text, images, and code, enhancing your proficiency.

Browse courses on Generative AI Tools

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Use generative AI tools to generate text for different purposes (e.g., story writing, marketing content)
Use generative AI tools to generate images for different purposes (e.g., social media, website design)
Use generative AI tools to generate code for different purposes (e.g., coding assistants, code optimization)

Discuss Generative AI Applications in Different Industries

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Engage in peer discussions to explore real-world applications of generative AI across various industries.

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Form study groups or connect with peers.
Brainstorm industries where generative AI can have a significant impact.
Research and present case studies or examples.

Build a Simple Generative AI Model

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Deepen your understanding of generative AI by building a simple model from scratch.

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Choose a specific type of generative AI model to implement
Gather or prepare a dataset suitable for the model
Develop a training pipeline and train the model
Evaluate the performance of the trained model

Develop a Generative AI-Powered Application

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Apply your knowledge by building a project that leverages generative AI to solve a specific problem or create something innovative.

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Define the problem or opportunity you want to address.
Choose appropriate generative AI models and techniques.
Develop and train the generative AI model.
Integrate the model into an application.
Test and evaluate the application.

Career center

Learners who complete Introduction to Generative AI will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course may be useful for Machine Learning Engineers who want to learn more about generative AI, as it can help them to develop new models for generating synthetic data and improving the performance of machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their knowledge of machine learning and statistics to extract insights from data. This course may be useful for Data Scientists who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic data and improving the performance of machine learning models.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts analyze data to extract insights and make recommendations. This course may be useful for Data Analysts who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic data and improving the performance of machine learning models.

See salaries and explore the career path for Data Analyst

Research Scientist

Research Scientists conduct research in a variety of fields, including computer science, engineering, and medicine. This course may be useful for Research Scientists who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic data and improving the performance of machine learning models.

See salaries and explore the career path for Research Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic data and improving the performance of machine learning models.

See salaries and explore the career path for Software Engineer

Marketing Manager

Marketing Managers are responsible for the development and execution of marketing campaigns. This course may be useful for Marketing Managers who want to learn more about generative AI, as it can help them to develop new marketing campaigns that use generative AI technology.

See salaries and explore the career path for Marketing Manager

Business Analyst

Business Analysts analyze business processes and make recommendations for improvement. This course may be useful for Business Analysts who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic data and improving the performance of business processes.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. This course may be useful for Product Managers who want to learn more about generative AI, as it can help them to develop new products that use generative AI technology.

See salaries and explore the career path for Product Manager

Consultant

Consultants provide advice to businesses on a variety of topics, including strategy, operations, and technology. This course may be useful for Consultants who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic data and improving the performance of business processes.

See salaries and explore the career path for Consultant

Entrepreneur

Entrepreneurs start and run their own businesses. This course may be useful for Entrepreneurs who want to learn more about generative AI, as it can help them to develop new products and services that use generative AI technology.

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Musician

Musicians create music, including songs, symphonies, and operas. This course may be useful for Musicians who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic music and improving the performance of their music.

See salaries and explore the career path for Musician

Game Designer

Game Designers create games, including video games, board games, and card games. This course may be useful for Game Designers who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic games and improving the performance of their games.

See salaries and explore the career path for Game Designer

Writer

Writers create content for a variety of purposes, including marketing, journalism, and fiction. This course may be useful for Writers who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic text and improving the performance of their writing.

See salaries and explore the career path for Writer

Fashion Designer

Fashion Designers create clothing and accessories. This course may be useful for Fashion Designers who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic clothing and improving the performance of their designs.

See salaries and explore the career path for Fashion Designer

Artist

Artists create visual art, including paintings, sculptures, and photographs. This course may be useful for Artists who want to learn more about generative AI, as it can help them to develop new methods for generating synthetic images and improving the performance of their art.

See salaries and explore the career path for Artist