Course Outline
Module 1: Foundational Concepts of AI for Project Managers
Subtopics:
Comprehending Large Language Models (LLMs)
Core AI principles: prompting techniques, hallucination phenomena, and context management
Distinctions between AI systems and conventional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Demonstrations of how AI tools generate and interpret textual content
Module 2: Prompt Engineering Strategies for Project Management
Subtopics:
Fundamentals of prompt design
Techniques for zero-shot, few-shot, and role-based prompting
Organizing prompts specifically for project management objectives
Methods for evaluating and refining AI responses
Practical sessions focused on writing prompts for real-world project scenarios
Module 3: Utilizing AI during Project Initiation
Subtopics:
Drafting project charters with AI assistance
Formulating project objectives and scope statements
Automating the stakeholder analysis process
Identifying early-stage project risks with AI support
Assessing AI-generated outputs for accuracy and comprehensiveness
Module 4: AI in Planning and Scheduling
Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Developing milestone plans and project timelines
Applying AI-assisted estimation methodologies
Obtaining suggestions for resource allocation
Enhancing planning outputs through structured prompting
Module 5: Managing Risks and Issues with AI
Subtopics:
Conducting predictive risk analysis via AI
Creating risk registers from project descriptions
Classifying and triaging issues with AI assistance
Developing mitigation strategies supported by AI
Organizing risk data using tables and structured prompts
Module 6: Enhancing Stakeholder Communication with AI
Subtopics:
Automating the creation of project reports
Producing executive summaries from project data
Adjusting tone and communication style for diverse audiences
Translating technical details into business-oriented updates
Handling sensitive communications with AI support
Module 7: Ethics and Governance in AI-Driven Projects
Subtopics:
Recognizing risks related to AI bias and hallucination
Ensuring responsible AI utilization in professional settings
Addressing data privacy concerns and GDPR compliance
Establishing AI usage policies within project teams
Implementing 'human-in-the-loop' validation practices
Module 8: AI Tool Selection and Adoption Strategy for Project Managers
Subtopics:
Leveraging Microsoft Copilot within Word, Excel, Teams, and Outlook
Determining when to utilize Copilot versus ChatGPT or other AI platforms
Comparing various AI tools for specific project management needs
Constructing an AI adoption roadmap for project teams
Creating a personalized AI action plan for project workflows
Requirements
Participants are expected to possess foundational experience working within project environments or project teams. A working knowledge of core project management principles—such as planning, risk management, and stakeholder communication—is highly recommended.
No previous exposure to Artificial Intelligence tools is necessary.
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The framework of BA
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Good atmosphere, good group vibe and trainers passion.