VOOZH about

URL: https://www.coursera.org/learn/ai-agile-project-management-fundamentals

⇱ AI for Project Managers and Scrum Masters | Coursera

AI for Project Managers and Scrum Masters

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

AI for Project Managers and Scrum Masters

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • AI-Powered Planning: Use AI tools for sprint planning, backlog prioritization, and resource allocation to enhance forecasting accuracy and delivery.

  • Workflow Automation Reporting: Automate repetitive tasks like status updates, documentation, and reporting to keep teams focused on high-value work.

  • Data-Driven Decision Making: Apply AI analytics to interpret project metrics and support faster, evidence-based decisions throughout delivery.

  • Risk & Responsible AI: Use intelligent tools to identify bottlenecks and delays early, while applying ethical AI practices across Agile projects.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

May 2026

Assessments

8 assignments

Taught in English

There are 8 modules in this course

AI for Project Managers and Scrum Masters is a practical course designed to help professionals integrate AI tools into Agile workflows to drive smarter planning, faster delivery, and data-informed decision-making. As organizations accelerate their adoption of AI-powered project management, practitioners who can effectively lead AI-enhanced Agile teams are becoming indispensable across industries.

In this course, you’ll explore the core principles of AI in Agile environments, including how intelligent tools support sprint planning, backlog prioritization, risk forecasting, and team performance tracking. You’ll learn how to apply automation to routine project tasks and use data-driven insights to guide stakeholder communication, resource management, and delivery outcomes. Through guided exercises and hands-on projects, you’ll gain practical experience with industry tools including ChatGPT, Microsoft Copilot, Jira, Trello AI, ClickUp, Notion AI, Power BI, Tableau Public, Python, Pandas, and workflow automation platforms like Zapier. You’ll also explore predictive analytics, NLP-based collaboration tools, and responsible AI practices specifically tailored to Agile project management environments. By the end of the course, you’ll be able to lead AI-augmented Agile teams, automate complex workflows, and apply intelligent insights to create measurable operational value for projects and organizations across industries.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

8 videos1 assignment2 plugins

8 videos•Total 74 minutes
  • Audiobook: Module 01: Course Introduction•5 minutes
  • Module 01: Course Introduction•4 minutes
  • Audiobook: Module 01: Fundamentals of AI in Agile Project Management•30 minutes
  • Podcast: Module 01: Fundamentals of AI in Agile Project Management•16 minutes
  • 1.1 Advanced AI Algorithms for Agile•6 minutes
  • 1.2 AI-Driven Adaptation in Agile Projects•3 minutes
  • 1.3 Steps for Implementing AI for Dynamic Adjustments•4 minutes
  • 1.4 Case Studies on AI-Enhanced Sprint Planning and Performance Forecasting•6 minutes
1 assignment•Total 30 minutes
  • Quiz: 1•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 01: Fundamentals of AI in Agile Project Management•15 minutes
  • Activity: Sequence Arrangement•15 minutes

What's included

12 videos1 reading1 assignment2 plugins

12 videos•Total 89 minutes
  • Audiobook: Module 02: Data Literacy for Agile Project Managers•34 minutes
  • Podcast: Module 02: Data Literacy for Agile Project Managers•16 minutes
  • 2.1 Integrating Big Data in Agile Workflows for Enhanced Predictive Analysis•5 minutes
  • 2.2 Advanced Techniques for Big Data Integration•5 minutes
  • 2.3 Big Data Integration in a Sprint Forecasting Workflow•4 minutes
  • 2.4 Big Data Techniques and Agile Applications•4 minutes
  • 2.5 Exploring AI-Driven Decision Models: Theory and Core Concepts•5 minutes
  • 2.6 Types of AI-Driven Decision Models•4 minutes
  • 2.7 Step-by-Step Workflow for AI Decision Model Integration•2 minutes
  • 2.8 AI Models and Their Functions•2 minutes
  • 2.9 Case Study: AI-Driven Sprint Timeline Optimization at Amazon Marketplace•4 minutes
  • 2.10 Simulation Exercise: AI-Driven Sprint Prediction•4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 2•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 02: Data Literacy for Agile Project Managers•15 minutes
  • Activity: Tab•15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videos•Total 79 minutes
  • Audiobook: Module 03: AI for Resource and Team Management•29 minutes
  • Podcast: Module 03: AI for Resource and Team Management•17 minutes
  • 3.1 Machine Learning in Predictive Resource Management•5 minutes
  • 3.2 Applying ML in Projects•6 minutes
  • 3.3 Foundations of AI-Driven Agile Metrics and Core Concepts•5 minutes
  • 3.4 Implementing AI to Track and Predict Agile Metrics•5 minutes
  • 3.5 Simulation Exercise: AI-Assisted Resource Forecasting Dashboard •3 minutes
  • 3.6 Use-case: AI-Driven Predictive Resource Analytics to Reduce Delivery Delays •4 minutes
  • 3.7 Case Study: AI-Driven Predictive Resource Management for Agile Release Planning•5 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 3•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 03: AI for Resource and Team Management•15 minutes
  • Activity: Multiple Choice Question•15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videos•Total 47 minutes
  • Podcast: Module 04: Predictive Analytics in Agile Project Management•17 minutes
  • 4.1 Deep Learning for Predictive Modelling•4 minutes
  • 4.2 Common Deep Learning Model Choices•5 minutes
  • 4.3 Deep Learning Sprint Risk Prediction: Practical Insights for Project Managers•5 minutes
  • 4.4 AI in Risk Management: Understanding Data Patterns, Indicators, Models, and Scoring•4 minutes
  • 4.5 Proactive Project Management: Using AI to Predict Delays and Shortages•5 minutes
  • 4.6 Case Study: Predicting and Preventing Agile Project Delays Using Deep Learning in a Global Fintech Startup•3 minutes
  • 4.7 Simulation Exercise - Management Resource Shortage Forecasting•4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 4•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 04: Predictive Analytics in Agile Project Management•15 minutes
  • Activity: Case Study•15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videos•Total 73 minutes
  • Audiobook: Module 05: AI in Project Monitoring and Reporting •29 minutes
  • Podcast: Module 05: AI in Project Monitoring and Reporting •17 minutes
  • 5.1 Real-Time Monitoring with AI •4 minutes
  • 5.2 Detailed Steps: How AI Tools Perform Ongoing Monitoring?•4 minutes
  • 5.3 AI-Enhanced Reporting •4 minutes
  • 5.4 How AI Automates Advanced Agile Reports (Step-by-Step)?•4 minutes
  • 5.5 Hands-On Simulation Exercise: AI-Driven Agile Sprint Monitoring and Team Health Dashboard •4 minutes
  • 5.6 Use-case: AI-Driven Sprint Monitoring and Workload Optimization in a Large E-Commerce Platform•3 minutes
  • 5.7 Case Study: Using AI-Driven Real-Time Monitoring to Detect and Prevent Team Burnout in Agile Delivery •3 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 5•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 05: AI in Project Monitoring and Reporting •15 minutes
  • Activity: Accordion•15 minutes

What's included

7 videos1 reading1 assignment2 plugins

7 videos•Total 69 minutes
  • Audiobook: Module 06: Ethics, Bias, and Regulation in AI for Project Management•28 minutes
  • Podcast: Module 06: Ethics, Bias, and Regulation in AI for Project Management•19 minutes
  • 6.1 Advanced Ethical Considerations: Decision-Making Transparency •6 minutes
  • 6.2 Unintended Consequences of AI Predictions and Ethical Leadership•4 minutes
  • 6.3 Regulatory Compliance in Agile AI•5 minutes
  • 6.4 Case Study: Mitigating AI Bias in Global Healthcare Resource Allocation•5 minutes
  • 6.5 Simulation Exercise -Ethical AI Decision-Making for Agile Resource Allocation Using Ethical AI Analysis Dashboard•2 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 6•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 06: Ethics, Bias, and Regulation in AI for Project Management•15 minutes
  • Activity: True or False•15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videos•Total 77 minutes
  • Audiobook: Module 07: Evaluating and Implementing AI Tools in Agile Projects•34 minutes
  • Podcast: Module 07: Evaluating and Implementing AI Tools in Agile Projects•17 minutes
  • 7.1 Evaluating Return on Investment (ROI) in Agile AI Tools•5 minutes
  • 7.2 Measuring Effectiveness and Evaluating Adaptability•4 minutes
  • 7.3 Change Management Strategies for AI in Agile•6 minutes
  • 7.4 Simulation Exercise: Evaluating AI Project Management Tools Using an Interactive Lovable Dashboard•3 minutes
  • 7.5 Use Case: AI-Powered Agile Risk Prediction for Digital Banking Transformation•3 minutes
  • 7.6 Case Study: AI-Automated Reporting and Risk Forecasting in Agile Consulting•5 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 7•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 07: Evaluating and Implementing AI Tools in Agile Projects•15 minutes
  • Activity: Tab•15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videos•Total 77 minutes
  • Audiobook: Module 08: Future Trends and AI in Agile Project Management•33 minutes
  • Podcast: Module 08: Future Trends and AI in Agile Project Management•17 minutes
  • 8.1 The Future of Autonomous Project Management•6 minutes
  • 8.2 AI in Remote and Distributed Agile Teams•6 minutes
  • 8.3 Case Study - Autonomous AI in Project Management•4 minutes
  • 8.4 Simulation Exercise: AI-Driven Collaboration Optimization for Remote Agile Teams using Dashboard•2 minutes
  • 8.5 AI-Enhanced Agile and Its Future•4 minutes
  • Module 08: Course Summary •4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz: 8•30 minutes
2 plugins•Total 30 minutes
  • Ebook: Module 08: Future Trends and AI in Agile Project Management•15 minutes
  • Activity: Problem Statement•15 minutes

Instructor

AI CERTs
58 Courses•43,703 learners

Explore more from Leadership and Management

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

No. The course begins with foundational AI and Agile concepts and progressively moves into applying intelligent tools for planning, risk management, and team optimization.

Yes. You’ll gain hands-on experience with tools such as ChatGPT, Microsoft Copilot, Jira, Notion AI, Power BI, and Zapier, applying them directly to Agile project scenarios.

No programming background is required. Familiarity with basic project management concepts is helpful, but the course introduces all relevant tools and techniques from the ground up.

You’ll explore tools including ChatGPT, Microsoft Copilot, Jira, Trello AI, ClickUp, Notion AI, Power BI, Tableau Public, Python, Pandas, Zapier, and sprint analytics dashboards.

You’ll work on practical exercises such as AI-assisted sprint planning, backlog prioritization, risk forecasting, workflow automation, and building AI-powered reporting dashboards.

AI enables teams to predict risks, automate repetitive tasks, and make data-backed decisions in real time, extending Agile’s adaptability with intelligent insights and automation.

Yes. The course is designed for practical applications, equipping you with tools and strategies you can use right away within your existing Agile workflows and team environments.

Absolutely. Scrum Masters will learn how to use AI dashboards to monitor velocity, identify impediments proactively, and enhance retrospectives and sprint ceremonies with intelligent insights.

Yes. The course covers how AI agents can coordinate tasks across tools and teams, enabling more intelligent collaboration and automated handoffs in complex Agile environments.

Yes. You’ll learn about bias in predictive models, regulatory considerations, and how to evaluate AI outputs for fairness and accountability within project management contexts.

You’ll develop in-demand skills across sprint optimization, AI-powered reporting, and intelligent risk management, preparing you for roles such as Scrum Master, Agile PM, or AI transformation lead.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,