In today's data-driven world, harnessing the power of AI and GenAI 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.
This module is part of our Data & AI curriculum.
Duration: 3h
Language: Available in English, French, and German. The supporting material is only available in English.
Number of participants: up to 15
Available under intra-company course (i.e. dedicated session on demand)
Objectives
By the end of this course, 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.
Content
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 GenAI 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
Target audience
- Data analysts: professionals responsible for analysing and interpreting data to extract meaningful insights for operational intelligence purposes.
- Data scientists: experts in machine learning and AI algorithms who seek to enhance their skills and knowledge in implementing AI and Generative AI solutions.
- Operational Intelligence Managers: leaders overseeing operational processes and seeking to leverage AI technologies to optimise efficiency and decision-making.
- Business intelligence professionals: individuals involved in gathering, analysing, and presenting data to support business decisions and strategies.
- IT professionals: those interested in understanding and implementing AI and Generative AI solutions within their organisation's technological infrastructure.
Our lead experts
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.
