In this chapter, you'll learn all about what generative AI is, and how it differs from traditional AI. You dive deeper into the generative AI ecosystem, its evolution, and how we got to this huge technological breakthrough.

What is generative AI?

ChatGPT

Getting to know generative AI

Options

Generative Artificial Intelligence

Artificial Intelligence

AI vs. Generative AI

The evolution of generative AI

Key milestones

Cloud

Competition

Model innovations

Generative AI Breakthroughs

GANs

Transformers

RLHF

Innovations that led to Generative AI

The progress of generative AI

The key players

The open-source question

AICamp

The community (not including AICamp)

Both

Open-source advantages are widespread

Accelerators

Decelerators

Accelerators vs. decelerators

Introduction to Generative AI

In this chapter you'll learn how to use Generative AI to enhance workflows. You'll investigate how to use it through augmentation, co-creation and replacement techniques. Consecutively, you'll dive into responsible AI and how to prepare and lead in a future with Generative AI.

Enhancing workflows with AI

Augment, Co-create or Replace?

Generative AI for marketing

Impact on business functions

Responsible AI: Social bias, copyright, ownership

Detection and mitigation techniques

Copyright and legal implications

Preparing for a future of generative AI

Uneven impact

Knowledge Explosion

Leading change in AI era

Skills in an AI World

Preparing your company

Congratulations!

Generative AI Solutions

Course Glossary

Firstly, you'll learn about generative AI and how it differs from traditional AI. You will dive deeper into the generative AI ecosystem and its key players: universities, governments, companies, and open-source communities. You'll discover the impact of the cloud and discuss various model breakthroughs. This will give you a better understanding of how we got to this huge technological breakthrough.

Consecutively, you'll learn how to use Generative AI to enhance workflows. You'll investigate how to use it through augmentation, co-creation, and replacement techniques. You'll discover generative AI's value to daily operations and strategic decisions. Finally, you'll dive into responsible AI and how to prepare and lead in a future with Generative AI through strategic alignment, change management and continuous improvement.

The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits, you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.

<h2>Introduction to Generative AI</h2>
Firstly, you'll learn about generative AI and how it differs from traditional AI. You will dive deeper into the generative AI ecosystem and its key players: universities, governments, companies, and open-source communities. You'll discover the impact of the cloud and discuss various model breakthroughs. This will give you a better understanding of how we got to this huge technological breakthrough.

<h2>Generative AI Solutions</h2>
Consecutively, you'll learn how to use Generative AI to enhance workflows. You'll investigate how to use it through augmentation, co-creation, and replacement techniques. You'll discover generative AI's value to daily operations and strategic decisions. Finally, you'll dive into responsible AI and how to prepare and lead in a future with Generative AI through strategic alignment, change management and continuous improvement.

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Generative AI for Business

Dasar-Dasar Bisnis Kecerdasan Buatan

Dasar-Dasar Undang-Undang Kecerdasan Buatan Uni Eropa

It creates new content based on patterns seen in the training data.

 Google Gemini and ChatGPT are an example of ____.

____ is a subset of AI, specifically focused on creating new data and content that resemble or imitate human-generated data.

Used to distinguish between fraudulent and legal transactions on an e-commerce platform.

____ is a broad field of computer science that aims to create computer systems capable of performing tasks that require human intelligence.

AI vs. Generative AI

Generative AI for Business

Latihan interaktif praktis