
Introduction to the course and instructor
AI in Action – How AI Improves Project Planning
A case Study of using AI for building Excellence in Project Planning
At the end of this lecture, you will learn the following
•How can AI help build Excellence in Project Planning
At the end of this lecture, you will learn the following
•Case Study of AI helping build Excellence in Project Planning
At the end of this lecture, you will learn the following
•Case Study of AI helping build Excellence in Project Planning
At the end of this lecture, you will learn the following
•Case Study of AI helping build Excellence in Project Planning
At the end of this lecture, you will learn the following
•Predictive Scheduling: Machine learning models forecast delays based on past performance, task dependencies, and external factors (like supplier delays or weather).
At the end of this lecture, you will learn the following
Critical Path Analysis: AI identifies the most important tasks that could delay the project if not completed on time
At the end of this lecture, you will learn the following
•“What-if” Simulations: AI can simulate changes to the schedule (e.g., adding resources) and show how it impacts the overall timeline.
•A case study of using AI for Excellence in Analyzing Project Timelines
At the end of this lecture, you will learn the following
•Skills Matching: AI matches tasks with team members who have the right skill sets.
At the end of this lecture, you will learn the following
•Workload Balancing: Detects underutilized or overburdened team members and redistributes tasks.
At the end of this lecture, you will learn the following
•Forecasting Needs: Predicts future resource needs based on project phases and past project data
A case study of using AI for Excellence in Optimizing Resource Allocation in project planning
At the end of this lecture, you will learn the following
•Real-Time Bottleneck Detection: By monitoring project velocity and dependencies, AI flags tasks that are at risk of delay.
At the end of this lecture, you will learn the following
Dependency Mapping: Detects complex dependencies that may slow down progress
At the end of this lecture, you will learn the following
•Anomaly Detection: Uses past data to detect unusual delays, task durations, or collaboration issues.
At the end of this lecture, you will learn the following
•Impact Scoring: Ranks tasks based on impact on goals, deadlines, or client satisfaction.
At the end of this lecture, you will learn the following
•Urgency vs Importance: Recommends tasks that should be prioritized using smart matrices (like Eisenhower or MoSCoW models).
At the end of this lecture, you will learn the following
•Automated Alerts: Triggers real-time alerts for high-risk or high-value tasks
At the end of this lecture, you will learn the following
•Dynamic Dashboards: Tools like Power BI + AI or Tableau GPT present real-time progress updates with intelligent insights.
At the end of this lecture, you will learn the following
Natural Language Summaries: Tools like NLG (Natural Language Generation) summarize project status for executives
At the end of this lecture, you will learn the following
Scenario Planning: AI helps simulate multiple project execution paths and recommends the most efficient one
Summary of course coverage
Building a complete, successful career from combining multiple skills together
Have you ever wondered why some Project Managers consistently identify problems before they become delays, evaluate better planning alternatives and make smarter project decisions—while others only react after issues arise?
The difference is no longer just experience.
Today, it is the ability to use Artificial Intelligence as a practical planning partner.
If you want to become a High-Performing Project Manager, AI can help you analyse complex project information, detect hidden bottlenecks, evaluate multiple planning scenarios and support better planning decisions—capabilities that become increasingly difficult to perform manually as projects grow in size and complexity.
This course is designed to help you develop exactly those capabilities.
Unlike courses that focus primarily on AI tools or creating project documents, this course focuses on improving the quality of your project planning decisions. You will learn how AI can strengthen every critical stage of Project Planning while keeping the Project Manager firmly in control of every important decision.
Throughout the course, you will discover how AI can help you review project schedules more effectively, identify critical dependencies, detect hidden bottlenecks before they affect execution, evaluate alternative planning scenarios, prioritise high-impact activities and generate management insights that support confident decision-making.
More importantly, this is not a theory course.
You will work through practical business examples, implementation assignments and a capstone project that demonstrate how AI can be used to review, analyse and improve real project plans. Rather than simply learning what AI can do, you will practise evaluating AI recommendations, deciding which suggestions to accept or reject, and applying professional judgement to improve project planning outcomes.
The course follows a structured Project Planning framework that progressively develops six essential planning capabilities:
Creating more reliable project schedules
Improving resource planning and workload balance
Detecting hidden bottlenecks and critical dependencies
Prioritising activities for maximum project impact
Evaluating multiple planning scenarios
Making better planning decisions using AI-supported insights
By developing these capabilities one step at a time, you will gain a practical understanding of where AI adds value, where human judgement remains essential and how both work together to produce stronger project plans.
Whether you are managing technology projects, engineering projects, construction projects, business transformation initiatives or operational improvement programmes, the principles taught in this course can be applied across industries and project types.
If you are a Project Manager, Planning Engineer, Project Planner, PMO professional, Team Leader, Programme Manager or an aspiring Project Management professional looking to future-proof your career, this course will provide a practical framework for integrating AI into your planning process with confidence.
Artificial Intelligence will not replace experienced Project Managers.
But Project Managers who know how to use AI effectively will increasingly outperform those who do not.
If you are ready to become a High-Performing Project Manager using AI to detect bottlenecks, evaluate planning scenarios and make smarter planning decisions, then I look forward to welcoming you into this course. Enroll Now!
This Course is Part of a Structured Learning Path
Learning Path: CONSTRUCTION MANAGEMENT PATH (Starter → Builder → Advanced)
This course is your BUILDER step.
Next Recommended Courses
After completing this course, continue your growth with:
Construction Management (Starter)
Leadership (Builder)
Problem Solving (Advanced)
AI for Operations (Advanced)