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.

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

Sichern Sie sich eines unserer besten Angebote mit Coursera Plus für 199 $ (normalerweise 399 $). Jetzt sparen.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

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.

Dozent: AI CERTs Team

Bei Mehr erfahren enthalten

Fragen Sie Coursera

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Project Scoping
Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Jira (Software)
Kategorie: Agile Methodology
Kategorie: AI Enablement
Kategorie: Project Management
Kategorie: Responsible AI
Kategorie: Agile Product Development
Kategorie: Agile Project Management
Kategorie: Artificial Intelligence
Kategorie: Sprint Planning
Kategorie: Project Management Life Cycle
Kategorie: Project Risk Management
Kategorie: Generative AI Agents
Kategorie: Scrum (Software Development)
Kategorie: Project Planning

Werkzeuge, die Sie lernen werden

Kategorie: Generative AI
Kategorie: AI Orchestration
Kategorie: Project Management Software
Kategorie: AI Workflows

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Mai 2026

Bewertungen

8 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 8 Module

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.

Das ist alles enthalten

7 Videos1 Aufgabe2 Plug-ins

7 VideosInsgesamt 69 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz: 130 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

12 Videos1 Aufgabe2 Plug-ins

12 VideosInsgesamt 89 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz: 230 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

9 Videos1 Aufgabe2 Plug-ins

9 VideosInsgesamt 79 Minuten

Audiobook: Module 03: AI for Resource and Team Management29 Minuten
Podcast: Module 03: AI for Resource and Team Management17 Minuten
3.1 Machine Learning in Predictive Resource Management5 Minuten
3.2 Applying ML in Projects6 Minuten
3.3 Foundations of AI-Driven Agile Metrics and Core Concepts5 Minuten
3.4 Implementing AI to Track and Predict Agile Metrics5 Minuten
3.5 Simulation Exercise: AI-Assisted Resource Forecasting Dashboard 3 Minuten
3.6 Use-case: AI-Driven Predictive Resource Analytics to Reduce Delivery Delays 4 Minuten
3.7 Case Study: AI-Driven Predictive Resource Management for Agile Release Planning5 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz: 330 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

8 Videos1 Aufgabe2 Plug-ins

8 VideosInsgesamt 47 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz: 430 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

9 Videos1 Aufgabe2 Plug-ins

9 VideosInsgesamt 73 Minuten

Audiobook: Module 05: AI in Project Monitoring and Reporting 29 Minuten
Podcast: Module 05: AI in Project Monitoring and Reporting 17 Minuten
5.1 Real-Time Monitoring with AI 4 Minuten
5.2 Detailed Steps: How AI Tools Perform Ongoing Monitoring?4 Minuten
5.3 AI-Enhanced Reporting 4 Minuten
5.4 How AI Automates Advanced Agile Reports (Step-by-Step)?4 Minuten
5.5 Hands-On Simulation Exercise: AI-Driven Agile Sprint Monitoring and Team Health Dashboard 4 Minuten
5.6 Use-case: AI-Driven Sprint Monitoring and Workload Optimization in a Large E-Commerce Platform3 Minuten
5.7 Case Study: Using AI-Driven Real-Time Monitoring to Detect and Prevent Team Burnout in Agile Delivery 3 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz: 530 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

7 Videos1 Aufgabe2 Plug-ins

7 VideosInsgesamt 69 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz: 630 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

8 Videos1 Aufgabe2 Plug-ins

8 VideosInsgesamt 77 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz: 730 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

8 Videos1 Aufgabe2 Plug-ins

8 VideosInsgesamt 77 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz: 830 Minuten

2 Plug-insInsgesamt 30 Minuten

Ebook: Module 08: Future Trends and AI in Agile Project Management15 Minuten
Activity: Problem Statement15 Minuten

Dozent

AI CERTs Team

AI CERTs

58 Kurse47.958 Lernende

von

AI CERTs

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Häufig gestellte Fragen

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.

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.