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⇱ Generative AI: Introduction and Applications | Coursera


Generative AI: Introduction and Applications

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Generative AI: Introduction and Applications

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Gain insight into a topic and learn the fundamentals.
4.6

4,440 reviews

Beginner level

Recommended experience

Flexible schedule
8 hours to complete
Learn at your own pace
96%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.6

4,440 reviews

Beginner level

Recommended experience

Flexible schedule
8 hours to complete
Learn at your own pace
96%
Most learners liked this course

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.

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Assessments

5 assignments

Taught in English

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  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives.

It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.

In this module, you will learn the fundamentals of generative artificial intelligence (AI) and how it differs from discriminative AI. You will also discover the capabilities of generative AI for generating text, image, code, speech, and video as well as for data augmentation.

What's included

8 videos4 readings2 assignments1 app item1 discussion prompt2 plugins

8 videosTotal 39 minutes
  • Course Introduction3 minutes
  • Why Learn Generative AI with IBM2 minutes
  • Generative AI Fundamentals Specialization Introduction 4 minutes
  • Expert Viewpoints: SME Introductions4 minutes
  • Introduction to Generative AI7 minutes
  • Capabilities of Generative AI8 minutes
  • Expert Viewpoints: Generative AI Capabilities5 minutes
  • Expert Viewpoints: Exploring the evolution of generative AI5 minutes
4 readingsTotal 22 minutes
  • Specialization Overview2 minutes
  • Course Overview5 minutes
  • Helpful Tips for Course Completion5 minutes
  • Lesson Summary: Generative AI and Its Capabilities10 minutes
2 assignmentsTotal 40 minutes
  • Graded Quiz: Introduction and Capabilities of Generative AI30 minutes
  • Practice Quiz: Generative AI and Its Capabilities10 minutes
1 app itemTotal 15 minutes
  • Lab: Generate Text using Generative AI15 minutes
1 discussion promptTotal 10 minutes
  • Introduce Yourself and Indicate Your Familiarity with Generative AI10 minutes
2 pluginsTotal 5 minutes
  • Podcast: History and Evolution of Generative AI3 minutes
  • Podcast: Recap: Generative AI and Its Capabilities2 minutes

In this module, you will learn about the applications and impact of generative AI in different sectors and industries, such as IT and DevOps, entertainment, education, finance, healthcare, and human resources. You will get an insight into how generative AI is making our work lives more efficient and successful. Next, you will explore the key capabilities and use cases of some commonly used tools for text, image, code, audio, video, and virtual world generation.

What's included

8 videos1 reading2 assignments1 app item1 discussion prompt5 plugins

8 videosTotal 54 minutes
  • Applications of Generative AI 9 minutes
  • Tools for Text Generation8 minutes
  • Tools for Image Generation6 minutes
  • Tools for Audio and Video Generation6 minutes
  • Tools for Code Generation7 minutes
  • Expert Viewpoints: Leveraging Generative AI Tools5 minutes
  • Expert Viewpoints: Exploring Generative AI Applications Across Domains7 minutes
  • Generative versus Agentic AI7 minutes
1 readingTotal 2 minutes
  • Reading: Lesson Summary: Applications and Tools of Generative AI2 minutes
2 assignmentsTotal 40 minutes
  • Graded Quiz: Applications and Tools of Generative AI30 minutes
  • Practice Quiz: Generative AI: Applications and Tools10 minutes
1 app itemTotal 30 minutes
  • Lab: Image Generation in Action30 minutes
1 discussion promptTotal 10 minutes
  • Generative AI in the Workplace10 minutes
5 pluginsTotal 108 minutes
  • Economic Potential of Generative AI15 minutes
  • Lab: Text Generation in Action30 minutes
  • Lab: Image Generation in Action with Microsoft Copilot45 minutes
  • Lab: Code Generation in Action 15 minutes
  • Podcast - Recap: Applications and Tools for Generative AI3 minutes

This module includes a graded quiz to test and reinforce your understanding of concepts covered in the course. The module also includes a glossary to enhance your comprehension of generative AI-related terms. The module includes an optional project, which provides an opportunity to practice generating text, images, and code through generative AI. Finally, the module guides you about the next steps in your learning journey.

What's included

2 readings1 assignment1 app item1 plugin

2 readingsTotal 12 minutes
  • Congratulations and Next Steps10 minutes
  • Thanks from the Course Team2 minutes
1 assignmentTotal 30 minutes
  • Graded Quiz: Generative AI: Introduction and Applications30 minutes
1 app itemTotal 45 minutes
  • Final Project: Generating Text, Images, and Code45 minutes
1 pluginTotal 15 minutes
  • Glossary: Generative AI: Introduction and Applications15 minutes

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Instructor

Instructor ratings
4.6 (1,092 ratings)
IBM
55 Courses5,118,042 learners

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Showing 3 of 4440

CS
·

Reviewed on May 14, 2024

I definitely appreciated that this didn't cover just text-to-image tools. I feel that even if someone is not new to AI, they might do something during this course that they haven't done before.

CG
·

Reviewed on Sep 27, 2025

Very detailed about generative and agentic AI, and also introduces other, less-known forms of AI that assist with video generation, audio production, and coding.

OT
·

Reviewed on Jan 21, 2025

Very good Into to AI, with in depth descriptions of GenAI tools and their fields of application. Hands on exercises to consolidate knowledge and create contextual text, audio and video.

Frequently asked questions

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When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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