Do I need prior Agile or project management experience to take this course?

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

Will I work with real AI tools during this course?

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.

What programming or technical skills are required?

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.

What kinds of projects will I work on?

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

How is AI different from traditional Agile project management approaches?

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.

Can the skills from this course be applied to my current job immediately?

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.

Is this course relevant for Scrum Masters specifically?

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.

Will I learn about multi-agent systems or AI team coordination?

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.

Does the course cover responsible AI and ethical considerations?

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.

How does this course prepare me for roles in AI-driven Agile environments?

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.

When will I have access to the lectures and assignments?

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.

What will I get if I purchase the Certificate?

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.

Is financial aid available?

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.

AI for Project Managers and Scrum Masters

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AI for Project Managers and Scrum Masters

Q: Which AI tools and platforms will I learn to use?

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.

Instructor: AI CERTs Team

Included with

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8 modules

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

8 modules

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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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.

Module details

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 videosTotal 74 minutes

Audiobook: Module 01: Course Introduction5 minutes
Module 01: Course Introduction4 minutes
Audiobook: Module 01: Fundamentals of AI in Agile Project Management30 minutes
Podcast: Module 01: Fundamentals of AI in Agile Project Management16 minutes
1.1 Advanced AI Algorithms for Agile6 minutes
1.2 AI-Driven Adaptation in Agile Projects3 minutes
1.3 Steps for Implementing AI for Dynamic Adjustments4 minutes
1.4 Case Studies on AI-Enhanced Sprint Planning and Performance Forecasting6 minutes

1 assignmentTotal 30 minutes

Quiz: 130 minutes

2 pluginsTotal 30 minutes

Ebook: Module 01: Fundamentals of AI in Agile Project Management15 minutes
Activity: Sequence Arrangement15 minutes

What's included

12 videos1 reading1 assignment2 plugins

12 videosTotal 89 minutes

Audiobook: Module 02: Data Literacy for Agile Project Managers34 minutes
Podcast: Module 02: Data Literacy for Agile Project Managers16 minutes
2.1 Integrating Big Data in Agile Workflows for Enhanced Predictive Analysis5 minutes
2.2 Advanced Techniques for Big Data Integration5 minutes
2.3 Big Data Integration in a Sprint Forecasting Workflow4 minutes
2.4 Big Data Techniques and Agile Applications4 minutes
2.5 Exploring AI-Driven Decision Models: Theory and Core Concepts5 minutes
2.6 Types of AI-Driven Decision Models4 minutes
2.7 Step-by-Step Workflow for AI Decision Model Integration2 minutes
2.8 AI Models and Their Functions2 minutes
2.9 Case Study: AI-Driven Sprint Timeline Optimization at Amazon Marketplace4 minutes
2.10 Simulation Exercise: AI-Driven Sprint Prediction4 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz: 230 minutes

2 pluginsTotal 30 minutes

Ebook: Module 02: Data Literacy for Agile Project Managers15 minutes
Activity: Tab15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videosTotal 79 minutes

Audiobook: Module 03: AI for Resource and Team Management29 minutes
Podcast: Module 03: AI for Resource and Team Management17 minutes
3.1 Machine Learning in Predictive Resource Management5 minutes
3.2 Applying ML in Projects6 minutes
3.3 Foundations of AI-Driven Agile Metrics and Core Concepts5 minutes
3.4 Implementing AI to Track and Predict Agile Metrics5 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 Planning5 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz: 330 minutes

2 pluginsTotal 30 minutes

Ebook: Module 03: AI for Resource and Team Management15 minutes
Activity: Multiple Choice Question15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videosTotal 47 minutes

Podcast: Module 04: Predictive Analytics in Agile Project Management17 minutes
4.1 Deep Learning for Predictive Modelling4 minutes
4.2 Common Deep Learning Model Choices5 minutes
4.3 Deep Learning Sprint Risk Prediction: Practical Insights for Project Managers5 minutes
4.4 AI in Risk Management: Understanding Data Patterns, Indicators, Models, and Scoring4 minutes
4.5 Proactive Project Management: Using AI to Predict Delays and Shortages5 minutes
4.6 Case Study: Predicting and Preventing Agile Project Delays Using Deep Learning in a Global Fintech Startup3 minutes
4.7 Simulation Exercise - Management Resource Shortage Forecasting4 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz: 430 minutes

2 pluginsTotal 30 minutes

Ebook: Module 04: Predictive Analytics in Agile Project Management15 minutes
Activity: Case Study15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videosTotal 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 Platform3 minutes
5.7 Case Study: Using AI-Driven Real-Time Monitoring to Detect and Prevent Team Burnout in Agile Delivery 3 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz: 530 minutes

2 pluginsTotal 30 minutes

Ebook: Module 05: AI in Project Monitoring and Reporting 15 minutes
Activity: Accordion15 minutes

What's included

7 videos1 reading1 assignment2 plugins

7 videosTotal 69 minutes

Audiobook: Module 06: Ethics, Bias, and Regulation in AI for Project Management28 minutes
Podcast: Module 06: Ethics, Bias, and Regulation in AI for Project Management19 minutes
6.1 Advanced Ethical Considerations: Decision-Making Transparency 6 minutes
6.2 Unintended Consequences of AI Predictions and Ethical Leadership4 minutes
6.3 Regulatory Compliance in Agile AI5 minutes
6.4 Case Study: Mitigating AI Bias in Global Healthcare Resource Allocation5 minutes
6.5 Simulation Exercise -Ethical AI Decision-Making for Agile Resource Allocation Using Ethical AI Analysis Dashboard2 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz: 630 minutes

2 pluginsTotal 30 minutes

Ebook: Module 06: Ethics, Bias, and Regulation in AI for Project Management15 minutes
Activity: True or False15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videosTotal 77 minutes

Audiobook: Module 07: Evaluating and Implementing AI Tools in Agile Projects34 minutes
Podcast: Module 07: Evaluating and Implementing AI Tools in Agile Projects17 minutes
7.1 Evaluating Return on Investment (ROI) in Agile AI Tools5 minutes
7.2 Measuring Effectiveness and Evaluating Adaptability4 minutes
7.3 Change Management Strategies for AI in Agile6 minutes
7.4 Simulation Exercise: Evaluating AI Project Management Tools Using an Interactive Lovable Dashboard3 minutes
7.5 Use Case: AI-Powered Agile Risk Prediction for Digital Banking Transformation3 minutes
7.6 Case Study: AI-Automated Reporting and Risk Forecasting in Agile Consulting5 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz: 730 minutes

2 pluginsTotal 30 minutes

Ebook: Module 07: Evaluating and Implementing AI Tools in Agile Projects15 minutes
Activity: Tab15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videosTotal 77 minutes

Audiobook: Module 08: Future Trends and AI in Agile Project Management33 minutes
Podcast: Module 08: Future Trends and AI in Agile Project Management17 minutes
8.1 The Future of Autonomous Project Management6 minutes
8.2 AI in Remote and Distributed Agile Teams6 minutes
8.3 Case Study - Autonomous AI in Project Management4 minutes
8.4 Simulation Exercise: AI-Driven Collaboration Optimization for Remote Agile Teams using Dashboard2 minutes
8.5 AI-Enhanced Agile and Its Future4 minutes
Module 08: Course Summary 4 minutes