Introduction to machine learning, AI, and generative technologies
Embark on a journey into the realms of Machine Learning (ML), Artificial Intelligence (AI), and the revolutionary field of Generative AI. What makes generative technologies a game-changer in the AI world? How are they shaping the future of content creation, data analysis, and more?
This course offers a comprehensive overview of AI and ML fundamentals, with a special focus on exciting advancements in generative AI.
This module is part of our Data & AI curriculum.
Duration: 2h
Language: Available in English, French, and German. The supporting material is only available in English.
Number of participants: up to 15
Available as intra-company course (i.e. dedicated session on demand)
Course content can be customised on demand under specific conditions.
Objectives
By the end of this training, participants will be able to:
- gain a thorough understanding of AI and machine learning, with a special focus on generative AI technologies;
- explore how generative AI is revolutionising industries and creating new opportunities;
- get foundational and advanced insights from basic concepts to the latest trends in generative AI;
- equip themselves with knowledge about the future trajectories of AI and machine learning, focusing on generative technologies.
Content
- Foundations of AI and ML: core concepts and distinctions
- Generative AI: introduction to generative models, including deep learning, transformers, and their applications
- Ethical and practical implications: discussing the impact of generative AI on data privacy, authenticity, and creativity
- AI and ML in business: extended case studies including generative AI applications
- Emerging trends in AI: how generative AI is part of the future of technology
Target audience
- Business leaders looking to understand how AI and ML can benefit their business strategies.
- Business professionals looking to understand how generative AI can impact and transform their industry.
- Any AI enthusiasts interested in the latest trends in AI, including generative technologies.
Our lead experts
This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Managing Director at PwC Luxembourg.
Thierry Kremser is a partner and Advisory Deputy Leader at PwC Luxembourg, specialising in consulting services for operational companies and the public sector, as well as leading PwC’s AI and GenAI services. With an engineering background from ENSTA Paris Tech, he began his career in technology innovation within the Travel and Telecom industries before moving to Luxembourg in 2001 to focus on IT pre-sales and digital transformation projects for European institutions. Since joining PwC in 2004, Thierry has become a trusted advisor in digital transformation, cloud, cybersecurity, data & AI, and IT strategy, particularly in the non-financial sector, driving large-scale cloud migrations and core activity digitalisation for private and public organisations.
Andreas Braun is a managing director specialising in Artificial Intelligence and data science within technology advisory, focusing on AI and machine learning applications in biometrics, healthcare, and border management. With over 15 years of experience, he leads research and innovation projects in biometrics, applied machine learning, and industrial AI. Previously, he was a principal investigator at the Center for Research in Security and Privacy (CRISP) in Darmstadt, contributing to industry transfer, international collaboration, and biometric standardization. Andreas holds a doctorate in computer science, has authored over 100 scientific publications and patents, and is certified as a PMP and MSP. He is also a member of the European AI Alliance and has led notable projects including AI-driven customer service chatbots, generative AI for AML and KYC, federated data platforms, AI governance for EU institutions, and AI tools for knowledge management.
