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.
Testimonials (3)
The tool, the trainer’s expertise, and the option to conduct the session remotely
Marina Dos Santos - Olisipo
Course - JIRA for Beginners
Understand other qualities, advantages, and disadvantages of using the tool in my area.
ITZEL DANIELA PEREZ DOMINGUEZ - AVANTARE
Course - JIRA para Administradores
Machine Translated
Understand the functionalities that could support better project management control.
Itzel Daniela Perez Dominguez - AVANTARE
Course - JIRA para Usuarios Avanzados
Machine Translated