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.

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 (…)
Select and Register for AI Applications in Project Management

Key Features of AI Applications in Project Management
By the end of this course, participants will be able to:
- Understand the fundamentals of AI, Generative AI (GenAI), and its role in project management.
- Apply AI-powered tools for project planning, execution, and stakeholder engagement.
- Master prompt engineering to interfact effectively with AI tools.
- Use AI-driven automation for task assignment, risk assessment, and reporting.
- Explore AI-based workflow optimization, predictive analytics, and decision-making.
- Implement AI-driven collaboration and productivity tools.
- Leverage AI tools for data visualization and advanced reporting.
- 15 years of experience in Digital Marketing with tangible, world-class results
- 8 years of expertise in Marketing Technology (MarTech), blending creative strategy with data-driven execution
- Graduate of ICT Mahidol University, with foundational knowledge in Artificial Intelligence concepts
- Multiple AI award winner, recognized for excellence in applied AI solutions
- Volunteer speaker for PMI Thailand Chapter, delivering “Digital X PM” sessions
- Keynote speaker on AI topics at international conferences and summits
- 10 years of professional experience with a leading hospital in Thailand, applying digital and AI innovation in healthcare
- Serves as Adjunct Lecturer at several universities, focusing on digital transformation and AI
- Certified in Artificial Intelligence in Project Management, bridging emerging technologies with PM best practices
Who Should Attend?
- Project Managers and PMO Professionals
- Scrum Masters and Agile Coaches
- Business Analysts and Product Owners
- Team Leads and Functional Managers
- Anyone looking to integrate AI into project management workflows
Course Features
- Hands-on AI learning: Each module includes live exercises & real-world case studies.
- Real-world scenarios: Participants engage in practical, AI-driven project management.
- Expert coaching: Led by AI & project management practitioners.
- Take-home resources: Includes AI prompts, automation templates, and checklists.
Prerequisites
- Basic understanding of project management principles
- Familiarity with Agile or traditional project workflows (optional)
- No prior AI experience required
Certificate of Completion
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
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