AI+ Agile Project Management Fundamentals™

  • Transform Project Delivery with AI+ Agile Project Management Fundamentals

$90.00

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Intermediate
AI+ Agile Project Management Fundamentals.
24h
1 Year.
$90.00
Training 5 or more people?

Transform Project Delivery with AI+ Agile Project Management Fundamentals

  • Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery.
  • Adaptive Workflow Optimization: Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly.
  • Data-Driven Decision Making: Gain the ability to analyze real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.
  • Enhanced Team Collaboration: Master intelligent communication and reporting tools that improve stakeholder alignment, transparency, and cross-functional teamwork.
  • Predictive Risk Management: Use AI to anticipate delays, budget overruns, and scope creep, enabling proactive planning and effective mitigation strategies.
  • Rising Demand for Agile AI Leaders: Organizations adopting AI need project managers who can deliver faster, adaptive, and tech-driven outcomes.
  • Faster Project Delivery: Agile frameworks help teams iterate quickly, reduce delays, and consistently meet evolving stakeholder expectations.
  • Smarter Decision-Making with AI Insights: AI-powered analytics improve planning, forecasting, and risk assessment for more accurate project execution.
  • Improved Collaboration and Transparency: Agile practices foster cross-functional teamwork, clear communication, and real-time progress visibility.
  • Reduced Costs and Risks: Continuous feedback, automation, and incremental releases minimize rework, optimize budgets, and control project risks.

Course Curriculum

Module 1: Fundamentals of AI in Agile Project Management
1.1 Introduction to AI Concepts for Project Managers 1.2 Synergy Between AI and Agile Methodologies 1.3 Case Study: AI-Enhanced Sprint Planning 1.4 Hands-On Session: AI Tools Walkthrough for Sprint Planning and Backlog Grooming

Module 2: Data Literacy for Agile Project Managers
2.1 Understanding Project Data Types and Sources 2.2 Data-Driven Decision Making in Agile 2.3 Case Study: Data-Led Sprint Retrospectives 2.4 Hands-On Simulation Exercise: AI-Driven Sprint Prediction and Metrics Analysis

Module 3: AI for Resource and Team Management
3.1 Predictive Resource Allocation 3.2 AI-Driven Agile Metrics and Performance Tracking 3.3 Use Cases: Smart Scheduling and Workload Balancing 3.4 Hands-On Session: Managing Team Capacity and Task Distribution Using AI Dashboards

Module 4: Predictive Analytics in Agile Project Management
4.1 Foundations of Predictive Modelling 4.2 Forecasting Delays and Resource Shortages 4.3 Case Studies: Early Risk Detection in Agile Projects 4.4 Hands-On Simulation Exercise: Resource Shortage and Timeline Forecasting

Module 5: AI in Project Monitoring and Reporting
5.1 Real-Time Monitoring with AI 5.2 Intelligent Reporting and Stakeholder Communication 5.3 Use Cases: Automated Status Updates and Performance Reviews 5.4 Hands-On Session: Creating AI-Powered Reports and Visual Dashboards

Module 6: Ethics, Bias, and Regulation in AI for Project Management
6.1 Ethical AI in Decision-Making 6.2 Bias and Risk in Predictive Models 6.3 Regulatory and Compliance Considerations 6.4 Hands-On Exercise: Evaluating AI Outputs for Fairness and Responsible Use

Module 7: Evaluating and Implementing AI Tools in Agile Projects
7.1 Selecting the Right AI Solutions 7.2 Change Management and Stakeholder Adoption 7.3 Case Study: AI-Automated Reporting and Risk Forecasting in Consulting Projects 7.4 Hands-On Simulation Exercise: Tool Evaluation and Vendor Comparison 7.5 Hands-On Exercise: Measuring AI Effectiveness with Project Analytics Platforms

Module 8: Future Trends and AI in Agile Project Management
8.1 Autonomous and Self-Optimising Projects 8.2 AI for Remote and Distributed Agile Teams 8.3 Case Studies Inspired by Industry Trends 8.4 Hands-On Simulation Exercise: Designing an AI-Augmented Agile Workflow

Learning Objectives

  • Integrate AI into Agile Planning and Sprint Processes: Learn how to use AI tools to support sprint planning, backlog grooming, and resource allocation to boost forecasting accuracy and team productivity.
  • Automate Workflows and Routine Project Tasks with AI: Gain practical skills in automating repetitive tasks such as status tracking, reporting, and documentation so teams can focus on high-value work.
  • Make Data-Driven Decisions Using AI Analytics: Understand how to interpret project metrics, assess risks early, and make faster, evidence-based decisions throughout the project lifecycle.
  • Enhance Risk Management and Predictive Performance Tracking: Discover how intelligent tools can forecast potential bottlenecks, delays, and performance trends to proactively mitigate risks and improve delivery outcomes.
  • Improve Team Collaboration and Communication with AI Assistants: Master the use of natural language processing and AI-powered reporting tools to streamline communication, summarize insights, and keep stakeholders aligned.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Project Managers.
  • Scrum Masters.
  • Product Owners.
  • Business Analysts.
  • Agile Team Members.

Job Roles & Industry Outlook 

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Agile Delivery Specialist
Implement Scrum, Kanban, and Al- powered planning tools to streamline workflows, remove bottlenecks, and ensure timely releases.
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Project Data Analyst (Al-Enabled)
Use Al analytics to forecast risks, track sprint performance, optimise resource allocation, and support data-driven decision-making.
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Agile Transformation Consultant
Guide organisations in adopting Agile frameworks enhanced with Al automation to improve collaboration, adaptability, and business outcomes.
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Product Owner with Al Insights
Leverage Al tools to prioritise backlogs, analyse customer behaviour, and align product development with market needs.
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Scrum Master (Al-Assisted)
Facilitate ceremonies, monitor team velocity with intelligent dashboards, and proactively address impediments using predictive insights.
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Al+ Agile Project Manager
Lead cross-functional teams using Agile and Al-driven insights to deliver projects faster, improve predictability, and maximise stakeholder value.

Exam Information

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Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
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Format
50 multiple-choice/multiple-response questions
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Delivery Method
Online via proctored exam platform (flexible scheduling)
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Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

Fundamentals of AI in Agile Project Management – 7%
Data Literacy for Agile Project Managers – 15%
AI for Resource and Team Management – 15%
Predictive Analytics in Agile Project Management – 15%
AI in Project Monitoring and Reporting – 12%
Ethics, Bias, and Regulation in AI for Project Management – 12%
Evaluating and Implementing AI Tools in Agile Projects – 12%
Future Trends and AI in Agile Project Management – 12%

Certificate of Completion

AI+ Agile Project Management Fundamentals.

AI-Healthcare-Certificate-Blurred 1

$90.00

ChartBar (1)-51bd46
Intermediate
AI+ Agile Project Management Fundamentals.
24h
1 Year.
$90.00
Training 5 or more people?

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