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.

By the end of this course, 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.

• 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

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