AI+ Agile Project Management FundamentalsTM
Learn to apply AI tools across Agile planning, forecasting, risk management, and reporting to deliver projects more predictably.
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.
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.
The AI+ Agile Project Management Fundamentals™ self-paced course includes:
1. 8 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- 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.
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
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
Tools You’ll Master
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
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
- Access for Tablet & Phone