Continuing Education Course Agentic AI
Elevate your AI competency: Understand and apply agentic AI models.
Course Objectives and Focus
In an increasingly automated and data-rich working environment, it is no longer sufficient to rely solely on reactive AI systems.
This one-day intensive course is designed to help professionals understand, control and successfully deploy agentic AI models in practice — especially in the areas of finance, risk and portfolio management. The emphasis is on hands-on application, case studies and direct operational relevance.
Learning content at a glance
Morning Session
- What is Agentic AI? Explore the difference between traditional models and AI that acts.
- Architecture & tools: how multi-agent systems and orchestration enable autonomy.
- Practical workshop: designing a simple agent model (for example, for market monitoring or automating trading rules).
Afternoon Session
- Using agents in portfolio and risk management: multi‐agent systems, decision automation, real-time interaction.
- Integration into existing workflows: data pipelines, interfaces, monitoring and interpretability.
- Case study & hands-on exercise: implementing an agentic system with focus on practical relevance — discussing success factors and pitfalls.
- Final reflection and transfer: how the deployment of agents can productively support your organization.
Lecturers
Dr. Marc Weibel
Senior Lecturer Banking & Finance, ZHAW School of Management & Law
Registration
Registration will open soon.
Organization
Date and Time
The next course will take place on:
Friday, 12. June 2026, 08:15 - 17:00 Uhr
Language
This course will be held in English.
Location
ZHAW School of Management and Law, Campus Zürich
Certification
All participants will receive a certificate of attendance.
Costs
The cost of the one-day course is CHF 950.- (Lunch not included).
ZHAW students receive a discount, please contact us at weiterbildung.iwa@zhaw.ch.
If you register for the CAS Machine Learning for Advanced Portfolio and Risk Management, we will reimburse you for the costs of this continuing education course.
Number of participants
The number of participants will be limited to a maximum of 25 people. Registrations will be considered in the order in which they are received.
Are you ready to take the financial industry to the next level with your AI knowledge?
The financial industry is undergoing major changes thanks to AI and machine learning. These technologies are already established in portfolio and risk management as well as algorithmic trading. The CAS Machine Learning for Advanced Portfolio and Risk Management programme closes the skills gap with practical continuing education.