By strategically integrating data and AI in Luxembourg, the country can position itself as a leader in innovation, economic growth and sustainable development. Collaboration between government, businesses and training providers will be crucial in creating an ecosystem that fosters the responsible and beneficial use of these technologies.
For every organisation, data has become a critical asset, enabling them to make informed decisions and gain a competitive edge. However, with great power comes great responsibility, and data governance has become a complex challenge in the era of digital transformation.
In close collaboration with PwC's subject matter experts, PwC's Academy has developed a multi-layered training curriculum for both juniors and experienced employees and managers seeking to expand their knowledge. This will enable them to understand the benefits and applications of data and AI, along with the relevant regulations, and anticipate future trends and challenges.
Our curriculum provides a comprehensive learning experience through three levels: Foundation, Knowledge & Competence, and Fit & Proper. This structure is designed to address your questions and training needs across various stages of your background and career. With our training, you will be equipped with the knowledge and skills to harness the power of data and AI, and drive your organisation towards success.
Data & AI curriculum
3 levels: Foundation, Knowledge & Competence and Fit & Proper
Foundation
Please select the module that answers your specific needs and click on the links to get further details about each building block's content or to register for a session.
- Introduction to machine learning, AI, and generative technologies (2h) offers a foundational understanding of Machine Learning, AI, and the ground-breaking field of Generative AI, exploring their potential impacts on data analysis.
- Data analytics foundations with a focus on Generative AI and modern tools (2h) provides a fundamental understanding of data analytics, covering essential concepts in data handling and analysis, enriched with a contemporary exploration of generative AI technologies.
Knowledge & Competence
Please select the theme at first and then the module that answers your specific needs and click on the links to get further details about each building block's content or to register for a session.
For specialists:
- AI and GenAI in action (3h) allows participants to delve into the depths of AI and GenAI, explore AI algorithms for data analysis, and GenAI's use for original content creation.
- Mastering graph/network analytics (3h) allows participants to explore graph theory and network analysis, analyse and interpret complex data structures.
- Mastering time series analysis (3h) allows participants to apply advanced algorithms and statistical methods to analyse time-structured data, uncovering trends, cycles, and forecasts.
- Technical algorithms on NLP (3h) allows participants to be equipped with advanced tools and techniques in Natural Language Processing (NLP).
- Coming soon! Data storytelling – The essentials (4h)
For managers:
- Leveraging technologies to better steer your operational units (2h) allows participants to discover how cutting-edge technologies can empower them to steer their operational units with precision and efficiency.
- Coming soon! Business data storytelling (2h)
In their business digital transformation, data and IT leaders must understand their roles in designing and operating robust data governance frameworks aligned with European data regulations.
This serie empowers managers to leverage data as a strategic asset within their organisation, while ensuring compliance with European data regulations and promoting responsible data citizenship practices.
- Enabling IT and data leaders to design and operate sound data governance (2h) provides participants with the understanding of data governance within organisations and the roles of IT and data leaders.
- Sharing the power of data with the business: mastering the challenge of data citizenship (2h) strengthens participants' knowledge about the impact of data citizenship within high-performing organisations.
- Understanding and leveraging European data regulations (2h for specialists / 1h for board members and C-suite) provides participants with an overview of the European data regulations and their complexities.
Fit & Proper
Please select the module that answers your specific needs and click on the links to get further details about each building block's content or to register for a session.
- AI across the Board: sector-specific use cases and future horizons (1h30) allows participants to delve into real-world use cases of AI in different industries, gaining a strategic perspective on how AI can shape the future of their organisation.
- AI safeguard: mastering risk management and controls (1h30) allows participants to explore effective risk management strategies and control mechanisms to ensure the responsible and secure deployment of AI technologies.
- Mastering the AI Act: strategic compliance with AI regulations and standards (1h30) provides participants with a deep understanding of global and industry-specific regulations, standards and best practices that are crucial for ensuring their organisation's strategic AI compliance.
- Steering AI: governance and ethical frameworks (1h30) allows participants to delve into effective AI governance, ethical considerations and risk mitigation strategies, ensuring AI seamlessly aligns with their organisation's mission and values.
- Understanding and leveraging European data regulations (1h) provides participants with an overview of the European data regulations and their complexities.
- Unlocking AI & Generative AI: strategy, opportunities, and risks (1h30) offers an exploration of the world of AI and Generative AI, providing insights into their transformative potential, opportunities, and associated risks.
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