
- Introduction to AI and its relevance for Project Management.
- Why Project Managers need to adopt AI to remain competitive.
- Example: AI-assisted decision-making and risk prediction.
- Understanding common project metrics: velocity, burndown, lead time.
- How AI can generate insights from metrics for smarter decisions.
- Hands-On: Use AI to analyze a project report and identify risks.
- Explore tools like Jira, Trello, and Zapier for automation.
- Learn how AI predicts risks and creates mitigation strategies.
- Hands-On: Automate a simple Jira workflow using AI integration.
- Use AI to prepare stakeholder updates and team communications.
- Apply sentiment analysis to identify team morale and challenges.
- Hands-On: Generate a stakeholder communication report using AI.
- Understand Agile scaling frameworks (SAFe, LeSS, Spotify).
- Learn about fairness, bias, and transparency in AI tools.
- Hands-On: Evaluate an AI tool for ethical risks in project management.