AI and GenAI in action

In today's data-driven world, harnessing the power of AI and Gen AI is not just advantageous; it's essential for staying competitive and driving innovation. This course is designed to bridge the gap between theoretical knowledge of AI/GenAI and its practical application in various industries. Throughout this training, we'll delve into the depths of AI and GenAI, exploring how AI algorithms analyse vast amounts of data to unearth valuable insights, and how GenAI can be used to create original content and to harness unknown analytical capabilities in your business.

By the end of this training, participants will be able to:

• learn the fundamental principles and methodologies underlying AI and GenAI;
• explore hands-on techniques for effectively implementing AI and GenAI algorithms;
• explore various tools and programming packages to implement work with AI and GenAI;
• develop skills to analyse and interpret the outputs generated by AI and GenAI models.

• Fundamentals of AI and GenAI:

Overview of machine learning algorithms and their applications;
Understanding deep learning and neural networks.

• Practical hands-on exploration:

Showcasing machine learning and GenAI tools.

• Case studies:

Analysing real-world case studies of AI and Generative AI across various industries. Understanding the challenges and successes of AI and GenAI adoption.

• Tools and resources:

Overview of AI development tools, platforms;
Overview of GenAI tools and services.

This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Director at PwC Luxembourg.

Thierry is leading the Technology Consulting services. He has over 20 years of experience in IT strategy with a specific focus on the quality and efficiency of IT departments. He has managed numerous innovation and transformation programmes and has also been involved in IT risk and security projects. Thierry is also leading the data and AI services.

Andreas is an expert in biometrics and artificial intelligence.
He has more than 15 years of experience in public and private sector projects from AI strategy and regulation, to R&D projects and proof-of-concept implementations.
Prior to joining PwC, he was group leader at a leading research institution, focusing on biometrics, AI, and IoT. He has been a university lecturer, authored more than 100 scientific publications and holds several patents.