Course Outline
Module 1: Foundational AI Concepts for Project Managers
Key Topics:
Comprehending Large Language Models (LLMs)
Core AI principles: prompting techniques, hallucinations, and context management
Distinctions between AI systems and conventional automation
Survey of AI tools featured in the training (ChatGPT, Claude, Microsoft Copilot)
Live demonstration of how AI tools generate and interpret textual data
Module 2: Prompt Engineering for Project Management Applications
Key Topics:
Essentials of prompt design
Techniques including zero-shot, few-shot, and role-based prompting
Optimizing prompts for specific project management objectives
Evaluating and refining AI responses
Practical exercises in crafting prompts for real-world project scenarios
Module 3: Leveraging AI During Project Initiation
Key Topics:
AI-supported drafting of project charters
Formulating project objectives and scope definitions
Automating stakeholder analysis processes
Utilizing AI to identify early-stage project risks
Assessing AI-generated content for accuracy and comprehensiveness
Module 4: AI Integration in Planning and Scheduling
Key Topics:
Creation of Work Breakdown Structures (WBS) via AI
Developing milestone schedules and project timelines
AI-assisted estimation methodologies
Generating recommendations for resource allocation
Enhancing planning outcomes through structured prompting techniques
Module 5: Managing Risks and Issues with AI
Key Topics:
Predictive risk analysis powered by AI
Creating risk registers from project descriptions using AI
AI-assisted classification and triage of issues
Formulating mitigation strategies with AI support
Organizing risk data through tables and structured prompts
Module 6: Enhancing Stakeholder Communication with AI
Key Topics:
Automating the production of project reports
Deriving executive summaries from project data using AI
Adapting tone and communication styles to suit diverse audiences
Translating technical details into business-oriented updates
Handling sensitive communications with AI assistance
Module 7: Ethical Considerations and Governance in AI-Driven Projects
Key Topics:
Recognizing risks related to AI bias and hallucinations
Ethical deployment of AI in professional settings
Data privacy requirements and GDPR implications
Establishing AI usage policies within project teams
Implementing human-in-the-loop validation protocols
Module 8: Strategic Adoption of AI Tools for Project Managers
Key Topics:
Maximizing the utility of Microsoft Copilot across Word, Excel, Teams, and Outlook
Selecting the appropriate tool (Copilot vs. ChatGPT or others) for specific tasks
Comparing AI tools to determine the best fit for project management support
Developing an AI adoption roadmap tailored to project teams
Creating a personalized action plan for integrating AI into daily project work
Requirements
Attendees should possess foundational experience working within project settings or project teams. A solid grasp of core project management principles, including planning, risk management, and stakeholder communication, is advised.
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.
