
Workshops for Professionals:
Prompt Engineering
Goal
Dive into the world of prompt engineering with our 2.5-hour course, designed to turn beginners into savvy users through hands-on experiences and expert guidance. Starting with interactive prompting, you'll quickly get your hands dirty. Our course demystifies concepts like zero-shot, many-shot, and chain-of-thought prompting, before moving onto role prompts, examples, instructions, and queries. Tackle real-life problems using these techniques, ensuring what you learn isn't just theory. We'll wrap everything up with a summary, leaving you equipped and ready to explore the possibilities of AI. Join us to unlock the potential of prompt engineering.
Definition
Prompt engineering is the process of structuring text that can be interpreted and understood by a generative AI model. A prompt is natural language text describing the task that an AI should perform. It is optimized to fit the context available in that model. A complete prompt typically consists of an instruction prompt, a role prompt, examples (both positive and negative, with expected outputs), and a query.
Target Audience
Data professionals, managers and other people who want to work with GenAI professionally. No previous knowledge required.

Tailor-Made
We offer tailor-made workshops
for your teams, to your specifications.
Contact us via +41792018191 or academy@d-one.ai
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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.
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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.