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Zielgruppe

Innovation Managers, Chief Information/Digital Officers, Computer Scientists Developers with business interest, Management/Business Administration Experts, Talent program participants aspiring for C level.

Lernziele

Participants shall gain a practical overview on how to define and implement artificial intelligence driven projects in business environment. The goal is to become an internal AI implementation advisorwho can initiate, facilitate and manage the adaption of AI powered technologies.

Inhalte

Follow-up: Applications with specific business impacts.
 
Managing the data capital:
  • Foundational definitions and historical overview of Data Science
  • Task settings, tasks of AI models
  • New roles in an organisation: data manager, data engineer, data scientist
  • The layers of data management: big data, data cleaning, validation

 
What is Deep Learning? Fundamentals:
  • Introduction to Deep Learning
  • Neural Network Basics
  • Shallow Neural Networks
  • Deep Neural Networks
     

Methodik

Interactive lecture, group work, working on projects brought by participants, best practice sharing, reflection

Dauer

3 Tage

Produktinformation

Termine

Preisvorteil von 10% ab dem 2. Teilnehmer pro Unternehmen und Seminartermin.

Fachliche Fragen

Organisatorische Fragen

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