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AI Agile Project Management Fundamentals

Transform Project Delivery with AI+ Agile Project Management Fundamentals

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AI+ Agile Project Management Fundamentals-course
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The AI+ Agile Project Management Fundamentals certification provides essential skills for managing AI-driven projects using agile methodologies. This course covers key concepts of Agile project management, including Scrum, Kanban, and Lean principles, while integrating AI tools for project optimization. Learners will gain hands-on experience in creating adaptive project plans, improving team collaboration, and ensuring project success through AI-enhanced workflows. Ideal for professionals looking to lead AI projects with a modern, flexible approach, this certification equips participants with the knowledge to drive innovation and efficiency in their project management practices.

The Agile Evolver: Why AI+ Agile Fundamentals is the Bridge to the Next Generation of Delivery

For a Scrum Master, Product Owner, or PRINCE2® Agile practitioner, “Agility” has always been about responding to change. But today, the pace of change is driven by Artificial Intelligence. If your Sprints don’t account for AI dependencies, and your Backlog doesn’t leverage AI efficiency, you aren’t just moving slower—you’re falling behind.

The AI+ Agile Project Management™ Fundamentals is the definitive “bridge” course. It is designed for Agile leads who know the ceremonies but need to master the AI-Augmented Lifecycle. This is where the “Definition of Ready” meets the power of Machine Learning.

1. Infusing AI into the Scrum Ceremonies

Traditional Scrum ceremonies—Sprint Planning, Daily Stand-ups, and Retrospectives—can often become administrative burdens.

  • The Agile-AI Edge: Learn how to use AI to automate the “Busy Work.” You’ll be the Scrum Master who uses AI to analyze team velocity and predict sprint spillover before it happens. You move from manual tracking in Jira to AI-driven forecasting that keeps the team in a state of “Flow.”

2. Sharpening the “Product Vision” (PRINCE2® Agile Perspective)

In PRINCE2® Agile, the focus is on delivering “Agility with Governance.” But how do you govern a project where the technology evolves every week?

  • The Strategic Edge: This course teaches you how to maintain the Fixed and Flex parameters of your project when AI is involved. You’ll gain the literacy to explain to the Project Board how AI-driven increments meet the Quality criteria while maintaining the speed required by the business.

3. Hyper-Refining the Product Backlog

The biggest waste in Agile is building a feature that doesn’t work because the data wasn’t ready.

  • The Candidate Edge: You will learn to identify “AI-specific” blockers in your backlog. By understanding the fundamentals of AI data cycles, you can ensure that your [User Stories] are technically viable and that your [Definition of Done] accounts for model accuracy and ethical guardrails.

4. Future-Proofing the “Self-Organizing” Team

A modern Agile team needs a leader who understands the tools of the future.

The Candidate Edge: This certification proves you can orchestrate a hybrid team of humans and AI tools. Whether it’s using AI to draft documentation in Confluence or optimizing workflows in Trello, you position yourself as a “High-Velocity Leader” who knows how to scale Agile for the AI era.

Skills You Will Gain

  • AI-Enabled Agile Planning & Sprint Forecasting
  • Intelligent Backlog Prioritization with Data Insights
  • Automated Task Tracking & Workflow Optimization
  • Predictive Risk Analysis for Project Delivery
  • AI Tools for Resource Allocation & Capacity Planning
  • Real-Time Performance Monitoring with Smart Dashboards
  • Natural Language Processing for Stakeholder Communication & Reporting
  • Integration of AI into Scrum
  • Kanban & Hybrid Agile Frameworks
  • Decision Support Systems for Faster Project Outcomes
  • Continuous Improvement Using Data-Driven Retrospectives

Prerequisites

  • Basic Understanding of Project Management: Familiarity with project lifecycle and
    management principles.
  • Introductory Knowledge of Agile: Awareness of agile methodologies like Scrum and Kanban.
  • Familiarity with AI Concepts: Basic knowledge of artificial intelligence and its applications.
  • Problem-Solving Skills: Ability to address challenges in dynamic environments.
  • Team Collaboration Experience: Comfort working in cross-functional, collaborative team

Who Should Enroll?

  • Project Managers: Professionals looking to integrate AI tools into Agile workflows to improve planning, forecasting, and delivery outcomes.
  • Scrum Masters: Individuals aim to enhance sprint efficiency, automate reporting, and enable smarter decision-making using AI-driven insights.
  • Product Owners: Professionals interested in leveraging AI for better backlog prioritization, customer insights, and value-based product development.
  • Business Analysts: Those seeking to use AI to analyze requirements, predict risks, and optimize stakeholder communication across projects.
  • Agile Team Members: Developers, testers, and designers wanting to streamline collaboration, automate repetitive tasks, and boost productivity with AI support.

Tools You’ll Explore

  • ChatGPT
  • Google Gemini
  • Microsoft Copilot
  • Trello AIJira Free Tier
  • ClickUp
  • Notion AIGitHub Copilot
  • Google Sheets with AI Add-ons
  • Power BI
  • Tableau Public
  • Python
  • Pandas
  • Scikit-learn
  • TensorFlow
  • AutoML Tools
  • Miro AI
  • Zapier
  • Slack AI Integrations
  • Burndown & Sprint Analytics Dashboards

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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 Litteracy 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: Predicative 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 Project Management 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 Projects 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
Yes, you’ll gain hands-on experience with AI-powered project management tools, sprint planning techniques, and Agile workflows, enabling you to apply these skills immediately to real projects and team environments.
This course uniquely blends Agile principles with AI capabilities, teaching you how to automate planning, improve forecasting, optimize resources, and make data-driven decisions for smarter and faster project delivery.
You’ll work on practical projects such as AI-assisted sprint planning, backlog prioritization, risk prediction, workflow automation, and a capstone project simulating an end-to-end Agile project lifecycle.
The course combines core Agile theory with interactive exercises, real-world case studies, hands-on tool usage, and guided simulations, ensuring you actively practice and apply concepts rather than just learning them passively.
You’ll develop in-demand skills in Agile frameworks and AI-driven project management, preparing you for roles such as Scrum Master, Agile Project Manager, Product Owner, or digital transformation lead across industries.

Exam Details

  • Duration 90 minutes
  • Passing Score 70% (35/50)
  • Format 50 multiple-choice/multiple-response questions
  • Delivery Method Online via proctored exam platform (flexible scheduling)

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%

Includes in this course

991,87 

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Industry Growth: Creating Informed, AI-Ready Workforces Globally

  • AI market is expected to reach $190.61 billion by 2025, growing at a CAGR of 42.2% (Source: Grand View Research).
  • AI-driven solutions are transforming industries, with businesses leveraging AI to streamline operations, improve decision-making, and drive innovation.
  • AI in customer service is projected to grow exponentially, with automation and AI chatbots becoming integral in enhancing customer experiences and reducing operational costs.
  • AI adoption in healthcare is accelerating, offering improvements in diagnostics, treatment recommendations, and personalized care, opening new opportunities for AI professionals.
  • AI’s impact on legal, financial, and manufacturing sectors is profound, reshaping business models, and creating lucrative career paths for professionals skilled in AI technologies.

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Who We Are?

Accredited Organization

Mentorix is an accredited training organization by AXELOS, PeopleCert, APMG International, DevOps Institute, Digital marketing institute, SCRUM Study and AI CERTs. Our courses, materials, and trainers meet the high standards set by these organizations. All trademarks, including PRINCE2®, ITIL®, AgilePM®, and others, are used with permission from their respective owners.

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AI Agile Project Management Fundamentals

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