Course Outline
Module 1: Fundamentals of AI for Project Managers
Key Topics:
- Comprehending Large Language Models (LLMs)
- Core AI principles: prompting, hallucination, and context
- Distinctions between AI systems and conventional automation
- Survey of AI tools utilized in the course (ChatGPT, Claude, Microsoft Copilot)
- Live demonstration of how AI tools generate and interpret text
Module 2: Advanced Prompt Engineering for Project Management
Key Topics:
- Principles of effective prompt design
- Techniques for zero-shot, few-shot, and role-based prompting
- Structuring prompts specifically for project management tasks
- Evaluating and refining responses from AI systems
- Practical exercises focused on drafting prompts for real-world project scenarios
Module 3: Leveraging AI During Project Initiation
Key Topics:
- Drafting project charters with AI assistance
- Formulating project objectives and scope statements
- Automating stakeholder analysis processes
- Identifying early-stage project risks using AI support
- Validating AI-generated outputs for accuracy and comprehensiveness
Module 4: Enhancing Planning and Scheduling with AI
Key Topics:
- Creating Work Breakdown Structures (WBS) via AI
- Designing milestone plans and project timelines
- Estimating techniques assisted by AI
- Generating suggestions for resource allocation
- Optimizing planning outcomes through structured prompting
Module 5: Managing Risks and Issues with AI
Key Topics:
- Conducting predictive risk analysis using AI
- Developing risk registers from project descriptions
- Classifying and triaging issues with AI assistance
- Formulating mitigation strategies supported by AI
- Organizing risk data using tables and structured prompts
Module 6: Improving Stakeholder Communication via AI
Key Topics:
- Automating project reporting processes
- Drafting executive summaries from raw project data
- Adapting tone and style to suit diverse stakeholders
- Translating technical details into business-friendly updates
- Handling sensitive communications with AI assistance
Module 7: Ethical Considerations and Governance in Project AI
Key Topics:
- Recognizing risks related to AI bias and hallucination
- Ensuring responsible AI usage in professional settings
- Addressing data privacy concerns within the GDPR framework
- Establishing internal policies for AI usage within project teams
- Implementing 'human-in-the-loop' validation practices
Module 8: Selecting AI Tools and Developing an Adoption Strategy
Key Topics:
- Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
- Determining when to use Copilot versus ChatGPT or other alternatives
- Comparing various AI tools for specific project management needs
- Constructing an adoption roadmap for project teams
- Creating a personalized action plan for integrating AI into daily work
Requirements
Attendees are expected to have foundational experience working in project settings or with project teams. A solid understanding of core project management principles—such as planning, risk management, and stakeholder communication—is recommended.
No previous exposure to Artificial Intelligence tools is necessary.
Testimonials (3)
The tool, the trainer’s expertise, and the option to conduct the session remotely
Marina Dos Santos - Olisipo
Course - JIRA for Beginners
The framework of BA
Puguh - PT PLN INDONESIA POWER
Course - PMI Professional in Business Analysis (PBA) Certification Preparation
Good atmosphere, good group vibe and trainers passion.
