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Course Outline

Module 1: Core Concepts of AI for Project Managers

Subtopics:
Grasping Large Language Models (LLMs)
Essential AI terminology: prompting, hallucination, and context
Distinctive features of AI systems versus traditional automation
Introduction to the AI tools featured in this course (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of AI text generation and interpretation

Module 2: Mastering Prompt Engineering for Project Management

Subtopics:
Fundamentals of prompt design
Techniques: zero-shot, few-shot, and role-based prompting
Optimizing prompt structures for specific project management tasks
Methods for evaluating and refining AI responses
Hands-on exercises: drafting prompts for real-world project scenarios

Module 3: Applying AI During Project Initiation

Subtopics:
Leveraging AI to draft project charters
Formulating project objectives and scope definitions
Simplifying stakeholder analysis through AI
Utilizing AI to identify potential early-stage risks Evaluating the accuracy and completeness of AI-generated content

Module 4: Enhancing Planning and Scheduling with AI

Subtopics:
Generating Work Breakdown Structures (WBS) using AI
Designing milestone schedules and project timelines
Evaluation techniques assisted by AI
Receiving AI-driven suggestions for resource allocation
Polishing planning outputs through structured prompting

Module 5: Managing Risks and Issues via AI

Subtopics:
Conducting predictive risk analysis with AI Creating risk registers from project descriptions using AI Classifying and prioritizing issues with AI support
Formulating mitigation strategies assisted by AI
Organizing risk data effectively using tables and structured prompts

Module 6: Facilitating Stakeholder Communication with AI

Subtopics:
Automating the generation of project reports
Deriving executive summaries from raw project data
Tailoring tone and style for diverse stakeholder groups
Translating technical details into business-ready updates
Navigating sensitive communications with AI assistance

Module 7: Navigating AI Ethics and Governance in Projects

Subtopics:
Identifying risks related to AI bias and hallucination
Implementing responsible AI practices in professional settings
Addressing data privacy concerns within the GDPR framework
Establishing clear AI usage policies for project teams
Adopting 'human-in-the-loop' validation protocols

Module 8: Practical AI Tools for Project Managers and Adoption Strategies

Subtopics:
Utilizing Microsoft Copilot across Word, Excel, Teams, and Outlook
Selecting the right tool: When to use Copilot versus ChatGPT or other alternatives
Comparing various AI platforms for project management needs
Charting an AI adoption roadmap for project teams
Crafting a personalized AI action plan for daily project tasks

Requirements

Attendees should possess foundational experience in project settings or project team environments. While not mandatory, 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.

 14 Hours

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