AI & Automation in Project Management
Designing Smarter, Faster, and More Predictable Project Delivery
AI is rapidly reshaping how projects are planned, tracked, and delivered. This live, online-based course helps project managers integrate AI and automation into their daily workflows to save time, improve forecasting, and support better decision-making — without replacing human judgment.
The course focuses on practical, real-world use cases and responsible adoption. Instead of tool focus, participants learn where AI genuinely adds value, where it doesn’t, and how to use it safely as a productivity and decision-support layer.
Course Details
Submit your request now and our team will contact you as soon as the course is available!
Paul Awkar
Jessica Yammine
Paul Awkar is a certified project management professional and PMO leader with extensive experience leading complex initiatives across cross-functional teams and regulated environments. With an Executive MBA and multiple PMI certifications, Paul combines structured methodology with real-world judgment.
Throughout his career, he has helped organizations improve delivery performance, strengthen governance frameworks, and align projects with strategic business outcomes. His approach goes beyond theory — focusing on practical decision-making, stakeholder management, and modern project leadership.
In his sessions, Paul emphasizes clarity, confidence, and application. Participants can expect real scenarios, honest insights from the field, and frameworks that translate directly into everyday project environments.
AI in Project Management: Opportunities & Limits
Participants explore where AI genuinely adds value in project management and where human judgment remains critical. The session clarifies common misconceptions, introduces real-world PM use cases, and sets guardrails for responsible AI adoption.
Planning, Forecasting & Resource Optimization
This session focuses on how AI can support estimation, scheduling, and capacity planning. Participants examine how predictive signals can improve forecasts while learning how to validate and challenge AI-generated outputs.
Automation, Reporting & Decision Support
Participants learn how to reduce manual reporting work using automation without losing clarity or accountability. The session emphasizes decision-support models that help project managers surface insights rather than just data.
Governance, Ethics & Practical Adoption
The final session covers governance, ethics, and sustainable adoption. Participants learn how to introduce AI into PM practices responsibly, manage stakeholder trust, and create adoption plans that teams actually use.
AI-Augmented Project Playbook
Throughout the course, participants build an AI-Augmented Project Playbook based on a real or recent project from their work. Across the sessions, they apply AI and automation to planning, forecasting, risk detection, and reporting while defining clear governance and ethical guardrails. With mentor guidance and peer discussion, participants refine a practical, reusable workflow that supports better decision-making without replacing human judgment.
Who's This For
Project Managers and Program Managers
Professionals delivering projects who want to integrate AI into their workflows effectively.
PMO Professionals
Leaders overseeing governance and reporting who want stronger forecasting and visibility.
Product Managers with Delivery Responsibility
Managers balancing roadmap and execution who seek smarter planning and prioritization.
Operations and Delivery Leaders
Leaders focused on performance and efficiency who want to automate and optimize processes.
By the end of the seminar, you will
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Identify where AI adds value across planning, execution, monitoring, and reporting—without replacing professional judgment.
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Leverage AI-assisted forecasting and workload analysis to improve timelines, capacity allocation, and accuracy.
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Apply AI-driven insights to detect potential bottlenecks, scope creep, or delivery risks before they escalate.
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Reduce manual reporting effort while maintaining accuracy, transparency, and stakeholder trust, and assess tools critically based on business needs, use cases, and ROI rather than marketing claims.
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Design governance frameworks that ensure AI supports decisions while accountability remains human-led.
Registration Includes
Live interactive sessions led by industry experts
Ask questions, collaborate, network and engage with others
Lifetime access to a community of wise learners and professionals
Certificate of completion
Lifetime access to recorded sessions & course resources
Frequently Asked Questions
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