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Training Courses

AI-POWERED PROJECT PLANNING & SCHEDULING

Course Code
PM16
Category
PROJECT MANAGEMENT
Course ID
2293
Course Outline
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Course Overview

TRAINING OVERVIEW

This course equips project managers and business professionals with the latest AI-driven tools and methodologies to enhance planning accuracy, resource allocation, and risk mitigation. Participants will learn how to integrate machine learning models, predictive analytics, and generative AI into project scheduling, while leveraging real-time data for smarter, more adaptive project execution across industries.

TRAINING TOPICS

  • AI integration in project lifecycle planning
  • Machine learning for time and cost estimation
  • Predictive analytics for project risk forecasting
  • AI-enhanced Gantt charts and scheduling algorithms
  • Resource optimization using AI-based tools
  • Natural Language Processing for scope and requirement extraction
  • Generative AI for project documentation and reporting
  • Intelligent task prioritization using AI models
  • Digital twins for real-time project simulation
  • Ethical and responsible AI use in project management

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO

  • Apply AI techniques to automate and optimize project planning and scheduling
  • Forecast project timelines and risks using predictive analytics
  • Integrate AI-powered tools with PM software (e.g., MS Project, Primavera, Monday.com)
  • Leverage NLP for extracting key project requirements from unstructured data
  • Build AI models for task prioritization and scheduling automation
  • Use digital twins to simulate project progress and bottlenecks
  • Design dashboards for real-time project monitoring using AI insights
  • Align AI-based planning methods with PMBOK and PRINCE2 standards

TRAINING IS TAILORED TO

  • Project Managers & PMO Professionals
  • Business Analysts & Project Controllers
  • AI Enthusiasts working in PM environments
  • Portfolio and Program Managers
  • Digital Transformation Leaders
  • Engineering and Construction Managers

TRAINING METHODOLOGY

This course follows a practical, hands-on approach. It includes tool demonstrations, case studies, real-world simulations, and guided labs using platforms like ClickUp AI, Smartsheet, ChatGPT, Microsoft Copilot, and Project AI Assistants. Participants will work in teams on a capstone project to apply AI to a real planning scenario.

DAY ONE: FOUNDATIONS OF AI IN PROJECT MANAGEMENT

  • Overview of AI Technologies Relevant to Project Planning
  • Traditional vs. AI-enhanced Planning Methodologies
  • Introduction to AI Tools: ClickUp AI, MS Copilot, and Asana AI
  • Case Study: AI in Agile vs. Waterfall Environments
  • Challenges and Opportunities in AI Integration
  • Workshop: Define AI Use Cases in Participants' Projects
  • Interactive Discussion: The Future PM Skillset with AI

DAY TWO: AI FOR TASK & RESOURCE SCHEDULING

  • AI-Based Task Breakdown and Classification
  • Smart Gantt Charts: From Static to Predictive
  • Dynamic Resource Allocation with AI Assistants
  • Machine Learning for Schedule Optimization
  • AI-Powered Critical Path Analysis
  • Hands-On Lab: Create an AI-Generated Schedule Using Project AI Tools
  • Group Exercise: Team-Based Planning Simulation

DAY THREE: PREDICTIVE ANALYTICS & RISK MITIGATION

  • Building Predictive Models for Schedule and Budget Risk
  • AI for Earned Value Management and KPI Forecasting
  • Probabilistic Scheduling Using Monte Carlo & Bayesian Networks
  • NLP for Risk Identification from Emails and Reports
  • Lab: Train a Model to Predict Delays from Historical Data
  • Scenario Planning and Contingency Optimization
  • Tools: Smartsheet Predictive AI, Microsoft Fabric

DAY FOUR: AI FOR REQUIREMENTS, SCOPE, AND CHANGE CONTROL

  • NLP for Requirements Gathering and Scope Alignment
  • Generative AI for Project Reporting and Communication
  • Real-Time Change Detection and Impact Analysis
  • AI and PMIS Integration (e.g., Jira AI, Trello AI)
  • Voice-to-Plan and Email-to-Task Automation
  • Lab: Building a Scope Document with ChatGPT
  • Group Roleplay: Managing Scope Creep with AI Alerts

DAY FIVE: DIGITAL TWINS, DASHBOARDS & ETHICS

  • Digital Twin Applications for Project Monitoring
  • Real-Time Dashboarding with AI Insights
  • AI Ethics in Project Scheduling and Decision-Making
  • Custom AI Agents for PMO Support
  • Capstone Lab: Build a Live Project Plan with AI Tools
  • Presentation: Each Team's AI-Enhanced Project Plan
  • Final Reflections and Evaluation

 

Course Schedule

Discounts and Registration

Group & Corporate Discounts:
Available for companies enrolling multiple participants to help maximize ROI.
Individual Discounts:
Offered to self-sponsored participants who pay in full and upfront.
Registration Process:
Corporate nominations must go through the client’s HR or Training department.
Self-nominations must be prepaid via the “payment by self” option.
Confirmation:
All registrations are subject to DIXONTECH’s approval and seat availability.
Refunds:
Provided in case of course cancellation or no seat availability.
Tax Responsibility:
Clients are responsible for any local taxes in their country.