Generative AI (GenAI) is revolutionizing the game and producing outstanding results!
Take your projects to new heights with GenAI models that generate, transform, and improve datasets with ease.

In this foundations course, we answer these and more questions as best as possible:

• What is the future of GenAI models?

• Or, how can I utilize data generation for my own projects?

We look at the tech behind it, what applications exist and could exist, and at the ethical side of things.

Enjoy your Generative AI journey!

WHAT YOU’LL GET

• 6+ hours of video lessons

• Continued help from the instructor

• Resources to get you started and going post-course

• Full lifetime access

• Certificate of completion

understand application fields

Get to know the broad spectrum of Generative AI applications and possibilities tangibly eg. 3D object generation, interactive image generation, and text generation.

Implement generative ai models

Learn how to implement Generative AI models. We focus on proper concept implementation and relevant code. (no administrative code)

Generative AI concerns

Learn about the ethical side: what are the concerns around GAI, incl. deep fakes, etc.

identify and get started with your ideas

Be able to identify great ideas in the Generative AI space and make best use of already developed models for realising your projects and ideas.

improve datasets and models

How to augment your dataset such that it ultimately improves your machine learning performance eg. for classifiers of rare diseases.

Generative AI evolution & future

Learn the evolution of generative models, what has been developed, and into what this tech might develop.

1.Introduction - preview

2. Discriminative AI vs. Generative AI

3. Why does Generative AI matter?

• Application Fields and Potential/ Trends

• Examples: Face Generation, Video-Transfer, Generated Art, NFTs, Crypto

4. Generative AI: core algorithms and their evolution

• VAEs - Variational Autoencoders

• GANs - Generative Adverserial Networks

• LLMs - Large Language Models

5. The Power of GANs

• How Generative AI Models work

• Excursion on Neural Networks

• Generative AI Ideation

6. Why did it take them so long?

7. Implementation of a simple GAN

8. Various Application Fields

• 3D-Object Generation - preview

• Interactive Image Generation

• Data Augmentation

9. Concerns around GAI Models

10. Application Modules/ Noteworthy GAN Architectures

• Text-to-Image

• Video Generation

• Game Simulation

11. What’s next?

• Concerns and malicious applications

• How to read research paper efficiently?

• Strategy on how to develop your own application using Generative AI