Course Description

This two-day interactive workshop is designed for project managers and team members looking to integrate AI-driven tools and techniques into their workflows. Participants will explore the growing role of Artificial Intelligence (AI) and Generative AI (GenAI) in project planning, execution, collaboration, and reporting. The course emphasizes hands-on engagement, with practical activities focused on prompt engineering, risk assessment, and workflow automation using tools like Notion AI, ChatGPT, and Microsoft Copilot. Attendees will gain exposure to real-world applications such as predictive analytics, AI-driven decision-making, and automated stakeholder communication. Whether managing Agile or traditional projects, this course equips participants with the knowledge and tools to confidently navigate and lead in AI-augmented project environments.

Sasitorn Thongtan
IT Project Manager at Hitachi

It was my pleasure to meet with Petros and had a valuable chance to take a PMP bootcamp course with Project Victor in July 2021. Petros has helped me from the start until I passed my PMP exam in mid July right after the course end. It’s my honor to study with (…)

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Key Features of AI Applications in Project Management

Who Should Attend?

Course Features

Prerequisites

Certificate of Completion

Participants will receive a certificate of completion from Project Victor, recognizing their expertise in AI Applications for Project Management.
Detailed Course Syllabus

Course Outline

1. Introduction to AI and Generative AI (GenAI) in Project Management

  • What is AI? Overview of Machine Learning (ML) & Natural Language Processing (NLP)
  • Understanding Generative AI & how it’s transforming project management
  • AI-driven automation, analytics, and workflow optimization
  • The role of Large Language Models (LLMs) in project management

2. Introduction to AI-Powered Project Management Tools

  • AI-based platforms: Notion AI, ClickUp AI, Trello AI, Microsoft Copilot, Asana AI
  • Exploring task automation, document summarization, and intelligent insights
  • AI-powered email automation, scheduling assistants, and predictive forecasting
  • Ethical considerations & challenges of AI in project management

3. Introduction to Prompt Engineering for Project Managers

  • What is Prompt Engineering and why does it matter?
  • Types of prompts: Instruction-based, Chain-of-Thought, Role-based prompts
  • Crafting effective prompts for task management, risk assessment, and reporting
  • Advanced techniques: Few-shot prompting, context-setting, and AI persona creation

4. AI-Driven Risk Management and Decision Support

  • Using AI for risk assessment, issue tracking, and mitigation planning
  • AI-driven predictive analytics for project success probability
  • Automating decision-making using AI-driven insights

5. AI-Powered Project Collaboration and Stakeholder Engagement

  • AI in real-time collaboration: Chatbots, AI-driven meeting notes, automated follow-ups
  • AI-enhanced stakeholder management: Sentiment analysis & real-time feedback
  • Using AI for automated email responses, chat summarization, and knowledge management

6. AI for Agile and Traditional Project Planning

  • AI-driven Gantt charts, roadmaps, and backlog prioritization
  • Using AI for automated sprint planning and retrospective analysis
  • AI-powered Kanban board optimizations and workload distribution Workshop: Conducting a release planning session in Jira

7. AI for Reporting, Forecasting, and Data Visualization

  • AI-powered project dashboards: Customizing real-time reports
  • Generating predictive analytics for resource allocation & project health
  • AI-driven data visualization for better decision-making

8. AI for Automation and Workflow Optimization

  • AI-driven workflow automation & task dependencies
  • Using Jira AI, Notion AI, and Zapier AI for automating routine project tasks
  • AI in change management, compliance tracking, and knowledge retention

9. Final Hands-On Exercise and Question and Answer

  • Applying AI knowledge in real-world project management
  • Group activity: Building an AI-driven project workflow
  • Final Q&A, troubleshooting, and next steps