Duration: 2 Days Instructor-led

Overview 

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 first-hand 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 AI-assisted 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. 

In This Class You’ll Learn 

• Understand the generative AI impacts project management 

• Identify AI automation opportunities and Integrate AI tools effectively with existing project management software 

• Enhance communication and reporting using AI capabilities 

• Manage ethical and data privacy aspects in AI-assisted projects 

• Apply AI in various stages of the project lifecycle. and achieving improved decision-making and efficiency 

• Navigate AI applications in risk and stakeholder management 

• Develop a strategy for AI implementation in project environments 

• Implement practical AI solutions and strategies in your workplace. 

Course Outline 

Part 1: Generative AI Enablement 

• AI Capabilities and Limitations 

• Best Practices for Interacting with LLMs 

• Identifying Automation Use Cases 

Part 2: AI-Enhanced Project Management Environments 

• AI and Project Management Tooling 

• Implementing an Internal LLM 

Part 3: 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 

Part 4: Implementing AI within a Project Management Framework 

• Project Lifecycle and Governance 

• Risk, Stakeholder and Change Management 

Part 5: Ethical Considerations in AI-assisted Projects 

• Data Privacy and Security 

• AI Bias 

• Legal and Compliance Considerations 

Part 6: Developing your AI-enabled Project Management Approach 

• Current State Assessment 

• Creating an Adoption Roadmap 

Part 7: Future Trends