About this course
ARE YOU LOOKING TO EXPAND YOUR SKILLS IN USING ARTIFICIAL INTELLIGENCE (AI) TO TRANSFORM YOUR PROJECT MANAGEMENT AND BECOME A LEADER IN LEVERAGING EMERGING TECHNOLOGIES?
The future of project management lies at the intersection of human creativity and technological leverage. Our AI for Project Management course is an immersive and interactive journey to prepare experienced project management professionals for the AI-empowered future.
Through real-world exercises with leading AI agents and tools, gain firsthand experience of applications in project lifecycle stages, risk and stakeholder management, and reporting as well as addressing the ethical considerations and data privacy concerns in AIassisted projects. Whilst balancing AI’s power to create content with human judgment, you will discover how to use generative AI to augment enterprise project management.
What you will gain
An AI for Project Management digital badge will be available upon successful completion of the course from Skills Development Group.
This course will contribute 14 PMI® professional development units (PDUs) towards your chosen certification (12 Ways of Working and 2 Business Acumen).
What you will learn
What you need
To get the most out of this course, it is recommended that participants have foundational knowledge of project management through formal training like our Project Management Fundamentals or Project Management Professional (PMP) courses or have relevant experience working in a project management context.
This course is great for
- Project Managers, Project Directors, and Program / Portfolio Managers wanting to utilise AI to automate and assist with project management tasks.
- Product Managers, Agile Coaches, or development team members wanting to accelerate project management activities whilst balancing responsible and ethical oversight.
- Anyone looking to be skilled in AI augmentation and innovation.
Topics covered
Generative AI Enablement
- AI Capabilities and Limitations.
- Best Practices for Interacting with LLMs.
- Identifying Automation Use Cases.
AI-Enhanced Project Management Environments
- AI and Project Management Tooling.
- Implementing an Internal LLM.
Applying AI in daily PM work
- Content generation and communication assistance.
- Dataset identification and capture.
- Sentiment Analysis for Stakeholder Feedback.
- Search and Information retrieval and extraction.
- Text Summarisation for Efficient Reporting.
Implementing AI within a Project Management Framework
- Project Lifecycle and Governance.
- Risk, Stakeholder and Change Management.
Ethical Considerations in AI-assisted Projects
- Data Privacy and Security.
- AI Bias.
- Legal and Compliance Considerations.
Developing your AI-enabled Project Management Approach
Current State Assessment.
Creating an Adoption Roadmap.
Future Trends