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Training Courses

AI Resource Forecasting in Agile Projects

Course Code
PM17
Category
PROJECT MANAGEMENT
Course ID
2294
Course Outline

Course Overview

This course equips Agile project leaders with cutting-edge knowledge on using AI to accurately forecast resource demand, optimize workload distribution, and improve sprint planning. Leveraging real-time analytics, machine learning, and AI-enhanced Agile tools, participants will master how to streamline resource utilization, reduce bottlenecks, and enhance team performance across complex and fast-paced environments.

TRAINING TOPICS

  • Fundamentals of AI in Agile project management
  • Machine learning for team capacity and velocity forecasting
  • AI-powered sprint planning and backlog optimization
  • Resource heatmapping and workload balancing using AI
  • Predictive modeling for Agile resourcing challenges
  • Natural Language Processing (NLP) in Agile planning
  • AI in cross-functional Agile team orchestration
  • Using AI for continuous improvement and feedback loops
  • Tools for AI integration: Jira, ClickUp, Forecast, Monday.com
  • Ethics and transparency in AI-driven forecasting

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

  • Use AI to analyze historical sprint data and predict future resource needs
  • Optimize Agile team utilization using intelligent workload analysis
  • Apply ML models to forecast velocity and adjust planning accordingly
  • Automate backlog grooming and sprint goal alignment
  • Integrate AI tools with Agile platforms like Jira and Azure DevOps
  • Identify risks in team performance and preemptively reallocate resources
  • Develop AI-driven dashboards for sprint and resource transparency
  • Balance Agile flexibility with structured AI-based forecasting insights

TRAINING IS TAILORED TO

  • Agile Project Managers and Scrum Masters
  • Product Owners and Team Leads
  • Agile Coaches and Transformation Leaders
  • Resource and Operations Managers
  • PMO professionals and Delivery Managers
  • Tech Leads and AI Strategy Professionals

TRAINING METHODOLOGY

The training includes a mix of expert-led sessions, live AI tool demonstrations, interactive case studies, and team-based labs. Practical workshops using Jira AI, Forecast, and Copilot AI will help participants implement AI-driven forecasting models in their own Agile environments. A capstone simulation will test learned skills with real-time resourcing challenges.

DAY ONE:

AI FOUNDATIONS IN AGILE PLANNING

  • Understanding Agile frameworks and AI intersections
  • AI vs traditional Agile estimation methods
  • Sprint velocity and capacity metrics
  • Introduction to ML models for Agile forecasting
  • Tool demo: Forecast App – team planning with AI
  • Hands-on: Mapping current workflows to AI-enhanced tools

DAY TWO:

FORECASTING TEAM CAPACITY & RESOURCE NEEDS

  • Data collection for team-level AI prediction
  • Time-series modeling for resource demand
  • AI-based role forecasting in cross-functional teams
  • Capacity planning with AI and team availability
  • Workshop: Build a capacity forecast using sprint data
  • Tools: ClickUp AI, Resource Guru

DAY THREE:

AI-ENHANCED BACKLOG & SPRINT PLANNING

  • Automating backlog refinement with NLP
  • Prioritizing sprint items using predictive value models
  • Adaptive sprint length estimation using AI
  • Integrating AI with Jira for live backlog insights
  • Hands-on: Simulate a sprint planning session with AI support
  • Group exercise: Sprint goal setting based on AI forecasts

DAY FOUR:

RESOURCING RISKS, PERFORMANCE & ADAPTIVE PLANS

  • Detecting overutilization and performance bottlenecks
  • Predicting team burnout and risk thresholds
  • Automated performance alerts via AI dashboards
  • Real-time adaptive resourcing with ML algorithms
  • Tools: Azure DevOps + Copilot integration
  • Lab: Adjust plans using AI-driven performance alerts

DAY FIVE:

SCALING AI IN AGILE OPERATIONS

  • AI strategy in Agile portfolio management
  • Scaling forecasting across squads and tribes
  • Reporting and governance with AI transparency
  • Final Project: End-to-end AI Agile Planning Simulation
  • Presentations: Team resource forecasting strategy
  • Feedback session and final reflections

 

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.