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Rav Ahuja
This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).
Read more
This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ghwyk9/introduction
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
Read more
Syllabus
Module 1: Introduction and Capabilities of Generative AI
• Video: Course Introduction
• Reading: Course Overview
• Reading: Program Overview
Read more
• 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
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
Save this course
Save Introduction to Generative AI to your list so you can find it easily later:
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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
Show steps
Refreshes your understanding of the foundational concepts of generative AI, ensuring you have a solid base for the course.
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Review the basic concepts of Python programming to enhance comprehension during the course.
Browse courses on
Programming Languages
Show steps
-
Go over Python data types, variables, and operators.
-
Review control flow statements (if-else, loops).
-
Practice writing simple Python functions.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Explore generative AI use cases and applications
Show steps
This activity will expose you to the practical applications of generative AI, helping you understand its real-world use cases and potential.
Browse courses on
Generative AI Applications
Show steps
-
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
Show steps
Expand your knowledge by exploring popular libraries and frameworks for generative AI development.
Browse courses on
Frameworks
Show steps
-
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
Show steps
Sharpen your text generation skills through regular practice.
Browse courses on
Text Generation
Show steps
-
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
Show steps
Experiment with generative AI tools to create unique and engaging text-based content.
Browse courses on
Generative AI
Show steps
-
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
Show steps
Enhance your knowledge of image generation applications and best practices.
Show steps
-
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
Show steps
Enhance your understanding of text generation by practicing with various prompts.
Browse courses on
Text Generation
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Engage in peer discussions to explore real-world applications of generative AI across various industries.
Browse courses on
Generative AI Applications
Show steps
-
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
Show steps
Deepen your understanding of generative AI by building a simple model from scratch.
Show steps
-
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
Show steps
Apply your knowledge by building a project that leverages generative AI to solve a specific problem or create something innovative.
Browse courses on
Project Development
Show steps
-
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.
Review Generative AI fundamentals
Show steps
Refreshes your understanding of the foundational concepts of generative AI, ensuring you have a solid base for the course.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Review the basic concepts of Python programming to enhance comprehension during the course.
Browse courses on
Programming Languages
Show steps
Show steps
Show steps
- Go over Python data types, variables, and operators.
- Review control flow statements (if-else, loops).
- Practice writing simple Python functions.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Explore generative AI use cases and applications
Show steps
This activity will expose you to the practical applications of generative AI, helping you understand its real-world use cases and potential.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- 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
Show steps
Expand your knowledge by exploring popular libraries and frameworks for generative AI development.
Browse courses on
Frameworks
Show steps
Show steps
Show steps
- 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
Show steps
Sharpen your text generation skills through regular practice.
Browse courses on
Text Generation
Show steps
Show steps
Show steps
- 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
Show steps
Experiment with generative AI tools to create unique and engaging text-based content.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- 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
Show steps
Enhance your knowledge of image generation applications and best practices.
Show steps
Show steps
Show steps
- 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
Show steps
Enhance your understanding of text generation by practicing with various prompts.
Browse courses on
Text Generation
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Engage in peer discussions to explore real-world applications of generative AI across various industries.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- 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
Show steps
Deepen your understanding of generative AI by building a simple model from scratch.
Show steps
Show steps
Show steps
- 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
Show steps
Apply your knowledge by building a project that leverages generative AI to solve a specific problem or create something innovative.
Browse courses on
Project Development
Show steps
Show steps
Show steps
- 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 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.
Data Scientist
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.
Data Analyst
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.
Research Scientist
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.
Software Engineer
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.
Marketing Manager
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.
Business Analyst
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.
Product Manager
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.
Consultant
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.
Entrepreneur
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.
Musician
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.
Game Designer
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.
Writer
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.
Fashion Designer
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.
Artist
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.
For more career information including salaries, visit:
OpenCourser.com/course/ghwyk9/introduction
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Generative AI.
Save
A collection of Turing's seminal works on computation and artificial intelligence. Essential reading for those interested in the history and foundations of generative AI.
Save
A comprehensive textbook on deep learning, providing a solid foundation for understanding the algorithms and techniques used in generative AI models.
Covers fundamental concepts in computer vision, including image processing and object recognition. Beneficial for understanding the underlying principles of generative AI models for image generation.
Covers statistical methods and machine learning algorithms used in generative AI. Provides a strong foundation for understanding the data-driven aspects of generative AI models.
Save
Provides a deep dive into the deep learning algorithms used to build generative AI models. It valuable resource for anyone who wants to understand the technical details of generative AI.
Save
Covers computer vision, which is another important area where generative AI is being used. It provides a good understanding of the underlying techniques and algorithms.
Save
Examines the economic impact of AI, including generative AI. It good read for those who are interested in the business and societal implications of generative AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ghwyk9/introduction
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Effort
1 to 3 hours per week for 3 weeks
Level
Introductory
Via
edX
Institution
IBM
Instructor
Rav Ahuja
Language
English
Transcript
English
Good to know
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
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