Primer in Generative AI

for Business

Goal

Generative AI is shaping business as much as the internet did. 

Can it disrupt my business or is it just another hype? How do I actually create business value?

We want you to understand the impact of Generative AI on your organization and get an intimate grasp of its building blocks through hands-on experience. To take you on the journey through the landscape of Generative Models and visit the internals of Transformers for you to learn how to apply them in large application architectures. 

We are convinced that creativity, critical thinking, and good judgment just got a lot more valuable.

Details

This course will guide you through the landscape of Generative AI, what it is currently capable/incapable of, and its applications in the enterprise - in a hands-on manner.

State of Generative AI: We will look at the breadth of models currently available. There are many aspects in which they differ: quality, licenses, costs, deployment possibilities. As this is a fast developing industry, we will both explore current models, and provide you with the tools to assess future ones.

New opportunities: With Generative AI, previously inaccessible kinds of data become amenable to analytics: Full Text, Source Code, Audio, and Images. This allows for many completely new use cases in all organizations. Similarly, there are new paradigms of human machine interaction, which we will explore: How do prompt engineering and zero-shot ML impact the daily work of data professionals?

Hands-on experience: We will run you through what Generative AI can achieve - it can be easy to get started with these models to get an impression of their capabilities and limitations. For this, you will be provided with Jupyter Notebooks on resources provided by D ONE.

Target Audience

Data Professionals in senior or leading positions with creativity, critical thinking, and good judgment.



You only need a laptop that can access the online resources provided by D ONE.

Tailor-Made

We offer tailor-made workshops

for your teams, to your specifications.

Contact us via +41792018191 or academy@d-one.ai

  • Dr. Simon Hefti

    Simon received his Ph.D. in physics from University of Berne in 1997. Afterwards, he held a research position at the University of Michigan. His areas of expertise are enterprise architecture, data architecture and strategy. Simon is co-founder of D ONE and chairman of the board of directors.

  • Dr. Philipp Thomann

    Philipp received his Ph.D. in Mathematics from the University of Zurich in 2013. Afterwards he served as a postdoctoral researcher at the University of Stuttgart, Germany. His areas of expertise are machine learning, natural language processing, search and distributed computation. Philipp has been in the team since 2017.