Masterclass in Artificial Intelligence

Duration
30 hours

Overview

Artificial Intelligence (AI) is transforming every aspect of investing—from data analysis and portfolio construction to risk management and client communication. As institutional investors seek new sources of alpha and more efficient operations, AI is no longer optional: it is becoming a key driver of competitive advantage.

But many questions remain: How do you separate hype from reality? How can you integrate AI responsibly and effectively into your investment process? And how will AI reshape investment organizations and the role of human judgment?

The Masterclass in Artificial Intelligence is specifically designed for experienced investment professionals eager to deepen their understanding of AI’s opportunities and pitfalls. This intensive two-day programme blends the latest academic insights with hands-on exercises and real-world case studies—enabling participants to immediately apply what they learn in their institutional investment practice.

What Does the Masterclass Offer You?

  • A tailored AI journey: Build a practical understanding of how AI creates value for institutional investors, with a curriculum that demystifies key concepts and technologies.
  • Decision-making reimagined: Gain insights into how AI augments or challenges human judgment in investment committees, asset allocation, and risk management.
  • Organizational readiness: Learn what it takes to build an AI-ready investment organization, from governance and talent to ethical frameworks.
  • Peer learning: Share perspectives with professionals facing similar challenges, expanding your network of peers in the investment industry.
  • Expert faculty: VU professors in finance and data science, together with guest lecturers from leading asset managers and AI providers.
  • Practical applicability: Interactive sessions and case studies developed with CFA Society Netherlands ensure direct relevance to your day-to-day responsibilities.

Format & Teaching Approach

  • Format: Five sessions, in-person at VU Amsterdam, delivered over two consecutive days. Includes lectures, interactive discussions, and case studies. Pre-readings and follow-up materials provided. Sessions are conducted in English.
  • Teaching approach:
    • Case-based learning with examples from institutional investing.
    • Interactive workshops that encourage peer learning and critical thinking.
    • Guest speakers from industry and AI practice.
    • Research-based content grounded in the latest studies from VU faculty and beyond.

The Masterclass in Artificial Intelligence consists of five sessions across two days:

  1. The Fundamentals of AI in Investing
    • Topics: Core AI concepts (machine learning, NLP, generative AI); key data types; myths vs. realities.
    • Learning goals: Build foundational understanding; set realistic expectations; analyze success and failure case studies.
  2. AI-Driven Investment Decision-Making
    • Topics: Machine learning in quantitative investing; AI-enhanced allocation; predictive analytics; equity and fixed income use cases.
    • Learning goals: Understand model-driven insights; improve forecasts; recognize risks of overfitting or instability.
  3. Organizational Transformation and Human-AI Collaboration
    • Topics: Designing an AI-ready investment organization; governance; new skills and roles.
    • Learning goals: Embed AI responsibly into workflows; manage cultural and talent challenges; explore case studies of successful integration.
  4. Ethical and Governance Dilemmas in AI for Investing
    • Topics: Bias in models; explainability; regulatory frameworks; fiduciary duty.
    • Learning goals: Recognize ethical dilemmas; build ethical AI adoption frameworks; understand emerging regulatory expectations.
  5. AI Frontiers: Alternative Data, Automation, and Future Outlook
    • Topics: Alternative data sources; large language models; back- and middle-office automation; future trends in asset management.
    • Learning goals: Leverage alternative data and generative AI; apply automation to reduce costs; anticipate long-term AI shifts in investment firms.

The masterclass is designed for investment professionals who:

  • Have relevant experience in investment management, asset allocation, or portfolio analysis.
  • Preferably work in investment companies such as pension funds, insurers, endowments, family offices, or asset managers.
  • Hold at least a bachelor’s degree in finance, economics, business, or a related field.

Fees:

  • € 2.350 per masterclass

Discounted fees:

  • € 2.300 per masterclass for members of CFA Society Netherlands
  • € 2.250 per masterclass when registering for more than one masterclass
  • € 2.150 per masterclass when registering for the full cycle of six masterclasses

 

Terms and Conditions Masterclasses/RBA designation apply.

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