AI+ Agile Project Management Fundamentals™
AP 110002
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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
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.
Job Roles & Industry Outlook
AI+ Agile Project Manager
Lead cross-functional teams using Agile and AI-driven insights to deliver projects faster, improve predictability, and maximise stakeholder value.
Agile Delivery Specialist
Implement Scrum, Kanban, and AI-powered planning tools to streamline workflows, remove bottlenecks, and ensure timely releases.
Project Data Analyst (AI-Enabled)
Use AI analytics to forecast risks, track sprint performance, optimise resource allocation, and support data-driven decision-making.
Agile Transformation Consultant
Guide organisations in adopting Agile frameworks enhanced with AI automation to improve collaboration, adaptability, and business outcomes.
Product Owner with AI Insights
Leverage AI tools to prioritise backlogs, analyse customer behaviour, and align product development with market needs.
Scrum Master (AI-Assisted)
Facilitate ceremonies, monitor team velocity with intelligent dashboards, and proactively address impediments using predictive insights.
Skills You’ll 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
What You'll Learn
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Tools You'll Explore
ChatGPT
Google Gemini
Microsoft Copilot
Trello AI
Jira Free Tier
ClickUp
Notion AI
GitHub 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
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 teams.
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%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 1 day of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~8 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
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.
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