Track1: GenAI Mastery

A primer on generative AI

Generative AI is a powerful tool that can be used in a variety of ways, including in business.
This course will provide you with an overview of Generative AI, including its capabilities and limitations, and how it can be applied in the enterprise. You will also get hands-on experience with Generative AI by working with Jupyter Notebooks on resources provided by D ONE.

This course is designed for data professionals who want to learn about Generative AI
and its potential applications in their work.

Goal of the Session

  • Understand the fundamentals of Generative AI, including its capabilities, limitations, and applications in the enterprise

  • Evaluate and select Generative AI models based on their specific needs

  • Apply Generative AI to new types of data and use cases

  • Implement Generative AI solutions using Jupyter Notebooks

Pre-requisites

  • Basic understanding of Python programming

  • Familiarity with machine learning concepts

  • Experience with Jupyter Notebooks

  • Simon Hefti

    Simon is the co-founder and president of D ONE, former Managing Director at Netcetera, and CTO at Herlock. With a PhD in physics, a post-doc at the University of Michigan and expertise in data analysis and strategy, he's steered projects in finance, retail, and more. Beyond tech, Simon enjoys jazz as double bass player.

  • Philipp Thomann

    Philipp received his PhD 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 and data engineering. Philipp has been in the team since 2017.