AI for Project Management
Class Overview
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. This AI for Project Management training class is an immersive and interactive journey to prepare experienced project management professionals for the AI-powered 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 AI-assisted projects.
While balancing AI’s power to create content against human judgment, you will discover how to use generative AI to augment enterprise project management.
Class Details
Objectives
After taking this training, the student should be able to:
- Describe how generative AI impacts project management
- Identify AI automation opportunities and Integrate AI tools effectively with existing project management software
- Explain how to 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, 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 the workplace
Prerequisite Knowledge Advisory
Although there are no formal prerequisites, before taking this class you should have:
- Foundational knowledge of project management through formal training (i.e., PMP), or
- Have relevant experience working in a project management context.
Required Exam for Formal Certification
Exam: none available – knowledge only
Class Format
This class is provided with the following breakdown:
In person class: 2 days
or
Virtual: 3 sessions of 4.5 hours (daily, over 3 successive days)
AI for Project Management Training Class Outline
Module 1: Generative AI Enablement
• AI Capabilities and Limitations
• Best Practices for Interacting with LLMs
• Identifying Automation Use Cases
Module 2: AI-Enhanced Project Management Environments
• AI and Project Management Tooling
• Implementing an Internal LLM
Module 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 Summarization for Efficient Reporting
Module 4: Implementing AI within a Project Management Framework
• Project Lifecycle and Governance
• Risk, Stakeholder and Change Management
Module 5: Ethical Considerations in AI-assisted Projects
• Data Privacy and Security
• AI Bias
• Legal and Compliance Considerations
Module 6: Developing your AI-Enabled Project Management Approach
• Current State Assessment
• Creating an Adoption Roadmap
Module 7: Future Trends
Note: Lecturing is kept to the minimum necessary, where most of the learning is achieved by applying the practices and techniques in group exercises.
