Course Outline
Module 1: AI Foundations for Project Managers
Subtopics: Br Understanding Large Language Models (LLMs) Br Key AI concepts: prompting, hallucination, context Br Differences between AI systems and traditional automation Br Overview of AI tools used in the course (ChatGPT, Claude, Microsoft Copilot) Br Demonstration of how AI tools generate and interpret text
Module 2: Prompt Engineering for Project Management
Subtopics: Br Prompt design fundamentals Br Zero shot, few shot and role based prompting Br Structuring prompts for project management tasks Br Evaluating and refining AI responses Br Practical exercises writing prompts for project scenarios
Module 3: AI in Project Initiation
Subtopics: Br AI assisted project charter drafting Br Generating project objectives and scope statements Br Automating stakeholder analysis Br AI supported identification of early project risks Br Evaluating AI generated outputs for accuracy and completeness
Module 4: AI in Planning and Scheduling
Subtopics: Br AI generated Work Breakdown Structures (WBS) Br Creating milestone plans and project timelines Br AI assisted estimation techniques Br Generating resource allocation suggestions Br Refining planning outputs using structured prompts
Module 5: AI in Risk and Issue Management
Subtopics: Br Predictive risk analysis with AI Br Generating risk registers from project descriptions Br AI assisted issue classification and triage Br Developing mitigation strategies using AI support Br Structuring risk information using tables and structured prompts
Module 6: AI in Stakeholder Communication
Subtopics: Br Automating project reporting Br Generating executive summaries from project data Br Adapting tone and communication style for different stakeholders Br Transforming technical information into business friendly updates Br Managing sensitive communication with AI assistance
Module 7: AI Ethics and Governance in Projects
Subtopics: Br Understanding AI bias and hallucination risks Br Responsible use of AI in professional environments Br Data privacy considerations and GDPR context Br Defining AI usage policies within project teams Br Human in the loop validation practices
Module 8: AI Tools for Project Managers and Adoption Strategy
Subtopics: Br Using Microsoft Copilot in Word, Excel, Teams and Outlook Br When to use Copilot versus ChatGPT or other AI tools Br Comparing different AI tools for project management support Br Building an AI adoption roadmap for project teams Br Developing a personal AI action plan for project work
Requirements
Participants are expected to possess fundamental experience in project settings or within project teams. A working knowledge of core project management principles, including planning, risk management, and stakeholder engagement, is advisable.
No previous experience with Artificial Intelligence tools is necessary.
Testimonials (1)
Understanding that in project management is more about tailoring and assessing each situation than just deciding what to do next.
