Courses AI certifications (AI CERTs®)

AI+ Agile Project Management Fundamentals™

  • From 200 EUR + VAT
  • Self-paced online Start anytime
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Business

Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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 lifecycle and management principles alongside the awareness of agile methodologies like Scrum and Kanban. Introductory knowledge of artificial intelligence and its applications, and ability to address challenges in dynamic environments.

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

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Any of our courses can be delivered as a private, in-company training, tailored to your organisation, in English or Hungarian.

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