What You’ll Learn
By the end of this course, you’ll be able to:
- Understand Restricted vs General Complexity and their impact on decision-making
- Grasp the fundamentals of data analytics and AI in project contexts
- Recognise ethical, legal, and governance challenges in using data and AI
- Explore how worldviews shape data-driven decisions
- Apply a framework for integrating data and AI into complex project decision-making
Note: This is an awareness-level course. It does not provide in-depth technical training or expert-level application of data analytics or AI.
Discounts available for ICCPM Full Members
Course Structure
This micro course is divided into five parts, each with a quiz to reinforce your learning:
Part 1: Making Sense of Complexity
Understand what makes projects complex and how different types of complexity affect decision-making. Learn how sensemaking helps navigate uncertainty in complex adaptive systems.
Part 2: Foundations of Data & AI
Build a foundational understanding of data, analytics, and AI. Explore different types of analytics and AI, and how they are applied in project delivery.
Part 3: Human-Data Relationships & Technology Limits
Examine how personal and organisational worldviews influence data use. Understand the limitations of data-driven technologies, especially in ambiguous or unstructured decision-making contexts.
Part 4: Governance, Ethics & Risk
Explore the importance of governance frameworks for data and AI. Learn about key challenges including data quality, privacy, bias, and legal risks in complex projects.
Part 5: A Framework for Human-Data Decision-Making
Discover best practices for integrating data and AI into decision-making. Learn how to balance human and machine roles based on the nature of the decision problem.
