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Generative AI Concepts

4.6+
32 reviews
Beginner

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

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2 hours14 videos43 exercises
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Course Description

Get Acquainted with Generative AI

Artificial Intelligence is reshaping our world like never before. Generative AI is a type of AI model that can create new content, from text to images and more. In this non-technical course, you will learn this emerging field's key concepts and how to prepare for a future where such AIs are pervasive.

Understand How Generative AI Works

You'll start by comprehending how these models create content, where they fit into the machine learning landscape, and how they are developed. From gathering training data to evaluating and improving models, you'll learn what AI companies must consider and do to bring generative AI tools into the world.

Given the power of generative AI, we will also consider how laws and ethics play into building and using these models. You'll learn how to avoid bias and apply generative AI in a responsible way.

Get the Right Mindset for Utilizing These Tools

Finally, you’ll look at the future of generative AI and how we can leverage and collaborate effectively with these tools. After this course, you, too, will be able to unlock the creative capabilities of generative AI. Let's go!
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In the following Tracks

Certification Available

AI Fundamentals

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  1. 1

    Introduction to Generative AI

    Free

    Familiarize yourself with the concept of generative AI and its ability to create content is introduced, along with its real-world applications and limitations. You'll delve into the differences between traditional machine learning models, generative AI, and artificial general intelligence (AGI), and explore the key factors driving the development of generative AI.

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    What is generative AI?
    50 xp
    Getting to know generative AI
    50 xp
    Working with a generative AI model
    100 xp
    Applications of generative AI
    50 xp
    Generative AI in the machine learning landscape
    50 xp
    Picking the right tool for the job
    100 xp
    Differentiating generative AI from traditional ML
    50 xp
    More dogs and GANs
    50 xp
    The evolution of generative AI
    50 xp
    Driving the field forward
    50 xp
    Transformers
    50 xp
    Generative AI breakthroughs
    100 xp
  2. 2

    Developing Generative AI Models

    In this chapter, we cover the essential steps in creating generative AI models: research and design, data collection, model training, and evaluation. We examine the significance of diverse datasets and advanced training techniques, as well as various evaluation methods, while discussing their strengths and limitations.

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  3. 3

    Using AI Models and Generated Content Responsibly

    This chapter focuses on the responsible use of generative AI. We discuss the challenges and strategies to mitigate social bias, intellectual property and privacy issues, and ethical considerations to prevent misuse. We conclude by exploring the immense potential and risks of Artificial Generative Intelligence (AGI), along with the approaches to control its outcomes.

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  4. 4

    Getting Ready for the Age of Generative AI

    Chapter 4 examines the potential, impact, and integration of generative AI into human workflows. It discusses key contributors to AI development, from universities to companies, and explores societal adaptations to AI. It delves into AI's implications for productivity, job dynamics, education, media, entertainment, scientific advancements, and ethical considerations.

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GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

AI Fundamentals

Go To Track

collaborators

Collaborator's avatar
Amy Peterson
Collaborator's avatar
James Chapman

prerequisites

Understanding Machine Learning
Daniel Tedesco HeadshotDaniel Tedesco

Data Lead, Google

A Data Lead at Google by day, obsessed with generative AI applications by night. Host of The Craft Podcast and Community Service Hour.
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Don’t just take our word for it

*4.6
from 32 reviews
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  • Joseph G.
    5 days

    Was very understandable and Interesting.

  • James P.
    about 2 months

    A great overview of GenAI and associated topics. Particularly liked Chapter 4 which demonstrated how to integrate GenAI into existing workflows.

  • Virgilio M.
    5 months

    I think this was a great course, with lots of material pretty well explained. The information is presented in a way that is easily digested and sticks with you

  • Alexandru I.
    6 months

    Very good courses for a beginner, and to undersrand new concepts

  • Tihomir S.
    8 months

    I like it !

"Was very understandable and Interesting."

Joseph G.

"A great overview of GenAI and associated topics. Particularly liked Chapter 4 which demonstrated how to integrate GenAI into existing workflows."

James P.

"I think this was a great course, with lots of material pretty well explained. The information is presented in a way that is easily digested and sticks with you"

Virgilio M.

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