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IBM - Generative AI: Introduction and Applications 

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Generative AI: Introduction and Applications
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Coursera 
Overview

Duration

6 hours

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Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

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Credential

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Generative AI: Introduction and Applications
 at 
Coursera 
Highlights

  • Earn a certificate of completion
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  • 5 assignments
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Generative AI: Introduction and Applications
 at 
Coursera 
Course details

What are the course deliverables?
  • 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.
More about this course
  • 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 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
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Generative AI: Introduction and Applications
 at 
Coursera 
Curriculum

Introduction and Capabilities of Generative AI

Specialization Introduction

Course Introduction

Introduction to Generative AI

Capabilities of Generative AI

Specialization Overview

Course Overview

Helpful Tips for Course Completion

History and Evolution of Generative AI

Lesson Summary

Graded Quiz: Introduction and Capabilities of Generative AI

Practice Quiz: Generative AI and Its Capabilities

Hands-on-Lab: Generate Text using Generative AI

Introduce Yourself and Indicate Your Familiarity with Generative AI

Applications and Tools of Generative AI

Applications of Generative AI

Tools for Text Generation

Tools for Image Generation

Tools for Audio and Video Generation

Tools for Code Generation

Lesson Summary

Graded Quiz: Applications and Tools of Generative AI

Practice Quiz: Generative AI: Applications and Tools

Generative AI in the Workplace

Economic Potential of Generative AI

Hands-on Lab: Text Generation in Action

Hands-on Lab: Image Generation in Action

Hands-on Lab: Code Generation in Action

Course Quiz, Project, and Wrap-up

Generative AI: Introduction and Applications
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Generative AI: Introduction and Applications
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