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Managing Projects with AI

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Managing Projects with AI

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

Recommended experience

3 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

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

What you'll learn

  • Plan and Manage Projects Using AI: Use AI tools to plan tasks, allocate resources, and manage timelines more efficiently.

  • Make Data-Driven Project Decisions: Analyze project data to assess risks, forecast outcomes, and make informed decisions.

  • Optimize Resources and Manage Risks: Improve resource allocation and identify risks early to ensure smoother project delivery.

  • Use AI Tools for Team Collaboration: Work with modern tools to improve communication, track progress, and enhance productivity.

Details to know

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Recently updated!

February 2026

Assessments

7 assignments

Taught in English

There are 7 modules in this course

Learn how to plan, manage, and deliver projects more effectively using AI-powered tools and workflows.

This course shows how AI can support project planning, execution, risk management, and decision-making across real project environments. Instead of focusing on theory, it is designed to help you apply AI in day-to-day project execution. You’ll learn how to use data-driven insights to improve timelines, allocate resources effectively, and manage risks proactively. Through real-world scenarios, you’ll also learn practical approaches to managing projects using AI that help teams work more efficiently and deliver stronger outcomes. You’ll gain hands-on experience with tools like Hive, Wrike, Trello, and ClickUp, learning how to improve collaboration, automate workflows, and enhance productivity. The course also covers responsible AI use, governance considerations, and how AI supports modern, data-driven project workflows. By the end, you’ll be able to deliver projects more effectively, improve decision-making, and confidently apply AI across different project scenarios. Enroll in this AI project management course to build job-ready skills and become an AI project manager capable of leading modern, data-driven projects.

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

What's included

18 videos4 readings1 assignment7 plugins

18 videos•Total 108 minutes
  • Course Introduction •3 minutes
  • Podcast: Module 1: Introduction to AI in Project Management•41 minutes
  • 1.1 Overview of AI and its Relevance in Project Management •5 minutes
  • 1.2 Basic Concepts, Terminologies, and Definitions of AI•4 minutes
  • 1.3 Brief History and Evolution of AI Technologies•3 minutes
  • 1.4 Key AI Technologies Impacting Project Management•5 minutes
  • 1.5 Components of Project Management•4 minutes
  • 1.6 Overview of AI’s Role and Potential to Transform Project Management•5 minutes
  • 1.7 Introduction to Machine Learning, Natural Language Processing, and Robotics•4 minutes
  • 1.8 Machine Learning•5 minutes
  • 1.9 NLP•4 minutes
  • 1.10 Robotics•3 minutes
  • 1.11 How are ML, NLP, and Robotics Applied in Project Management Tasks? •5 minutes
  • 1.12 How AI Can Optimize Project Outcomes, Improve Efficiency, and Enable Better Decision-Making •3 minutes
  • 1.13 Optimization Fundamentals •3 minutes
  • 1.14 Efficiency Improvement Strategies •2 minutes
  • 1.15 Decision Making & Addressing the Challenges and Limitations of Implementing AI in Project Environments•2 minutes
  • 1.16 AI's Future Impact on Project Management: Preparing Managers•6 minutes
4 readings•Total 40 minutes
  • Hands On 1•10 minutes
  • Hands On 2•10 minutes
  • Hands On 3 •10 minutes
  • Hands On 4•10 minutes
1 assignment•Total 30 minutes
  • Quiz 1•30 minutes
7 plugins•Total 105 minutes
  • Ebook: Module 01: Introduction to AI in Project Management •15 minutes
  • Activity: Drag and Drop•15 minutes
  • Activity: Tab •15 minutes
  • Activity: Dropdown•15 minutes
  • Activity: Clickable•15 minutes
  • Activity: True/False•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

What's included

18 videos2 readings1 assignment7 plugins

18 videos•Total 104 minutes
  • Podcast: Module 2: AI Tools for Project Management•28 minutes
  • 2.1 Introduction to Various AI Tools and Software•6 minutes
  • 2.2 Specific AI Tools and Software Used in Project Management•5 minutes
  • 2.3 Revolutionizing Project Management•6 minutes
  • 2.4 AI Tools for Task Management and Scheduling•4 minutes
  • 2.5 AI Tools for Resource Allocation and Optimization•4 minutes
  • 2.6 AI Tools for Risk Management and Mitigation•5 minutes
  • 2.7 AI Tools for Stakeholder Communication and Collaboration•4 minutes
  • 2.8 AI Tools for Decision Support and Analytics•4 minutes
  • 2.9 Applications, Challenges and Considerations in Implementing AI Tools•6 minutes
  • 2.10 Case Studies: Successful Implementation of AI Tools in Project Management•3 minutes
  • 2.11 AI-Powered Project Management: Future Trends and Excellence•4 minutes
  • 2.12 Selecting AI Tools•4 minutes
  • 2.13 Implementing AI Tools•4 minutes
  • 2.14 Integrating AI Tools in the Data Preparation, Training, Monitoring Process of Project Management•6 minutes
  • 2.15 Steps for integrating AI tools into Project Management•6 minutes
  • 2.16 Analysis and Best Practices for Project Excellence•4 minutes
  • 2.17 Case Studies•2 minutes
2 readings•Total 20 minutes
  • Hands On 1•10 minutes
  • Hands On 2•10 minutes
1 assignment•Total 30 minutes
  • Quiz 2•30 minutes
7 plugins•Total 105 minutes
  • Ebook: Module 02: AI Tools for Project Management•15 minutes
  • Activity: Drag-and-Drop•15 minutes
  • Activity: Accordion•15 minutes
  • Activity: Flip Card•15 minutes
  • Activity: Hotspot•15 minutes
  • Activity: Hotspot•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

What's included

18 videos1 reading1 assignment7 plugins

18 videos•Total 115 minutes
  • Podcast: Module 3: Data-Driven Decision Making•49 minutes
  • 3.1 Understanding the Role of Data in AI-Driven Projects •6 minutes
  • 3.2 Types of Data used in Project Management•2 minutes
  • 3.3 How to Source the Data used in Project Management•5 minutes
  • 3.4 Introduction to Data Analysis Methods Suitable for Project Management •4 minutes
  • 3.5 Techniques for Collecting, Analyzing, and Utilizing Data in Project Management•5 minutes
  • 3.6 How AI Algorithms Can Assist in Analyzing Large Datasets to Identify Trends and Insights•3 minutes
  • 3.7 Strategies for Applying Data Insights to Improve Project Planning and Execution•6 minutes
  • 3.8 Strategies for Applying Data Insights to Improve Project Monitoring•3 minutes
  • 3.9 Real-World Examples of Data-Driven Decision-Making Enhancing Project Outcomes•3 minutes
  • 3.10 Examples of Decision-Making at Google•3 minutes
  • 3.11 Data-driven Decisions at Amazon•3 minutes
  • 3.12 Using Data to Make Decisions at Southwest Airlines•3 minutes
  • 3.13 Overview of Tools and Software that Leverage AI for Data Visualization and Reporting•3 minutes
  • 3.14 Data Visualization Techniques•3 minutes
  • 3.15 Practical Demonstrations on Creating Data Visualizations that Aid in Project Decision-Making•3 minutes
  • 3.16 Addressing Common Challenges in Data-Driven Decision-Making•4 minutes
  • 3.17 Best Practices for Ensuring Data Quality, Security Aspects, and Ethical Use of AI in Data Analysis•8 minutes
1 reading•Total 10 minutes
  • Hands On 1•10 minutes
1 assignment•Total 30 minutes
  • Quiz 3•30 minutes
7 plugins•Total 105 minutes
  • Ebook: Module 03: Data Driven Decision Making•15 minutes
  • Activity: Dropdown•15 minutes
  • Activity: Flip Card•15 minutes
  • Activity: Clickable•15 minutes
  • Activity: Hotspot•15 minutes
  • Activity: Carousel•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

What's included

15 videos1 reading1 assignment6 plugins

15 videos•Total 96 minutes
  • Podcast: Module 4: AI for Enhancing Team Collaboration and Productivity•27 minutes
  • 4.1 Enhancing Teamwork with AI: Tools and Impact•6 minutes
  • 4.2 Benefits and Future of AI-enhanced Collaboration Tools•4 minutes
  • 4.3 Practical Examples of AI Applications in Facilitating Remote Work and Team Dynamics•5 minutes
  • 4.4 AI Applications in Team Collaboration Tools•5 minutes
  • 4.5 Boosting Productivity with AI: Case studies•5 minutes
  • 4.6 Principles and Techniques for AI-driven Automation•7 minutes
  • 4.7 Benefits and Challenges of AI-driven Automation•3 minutes
  • 4.8 Framework for Implementing AI-driven Automation•3 minutes
  • 4.9 Case Studies: AI’s Impact on Project Timelines, Quality, and Productivity Improvement•5 minutes
  • 4.10 AI’s Role in Knowledge Management and Information Retrieval to Support Project Decision-Making•6 minutes
  • 4.11 Tools and Platforms that Use AI for Organizing Project Documentation and Learnings•5 minutes
  • 4.12 Collaboration Challenges and Overcoming Barriers•8 minutes
  • 4.13 Building Trust, Enhancing Teamwork, and Leveraging AI Solutions•5 minutes
  • 4.14 Strategies for Implementing AI tools that Complements with Team Strengths and Project Needs•4 minutes
1 reading•Total 10 minutes
  • Hands On •10 minutes
1 assignment•Total 30 minutes
  • Quiz 4•30 minutes
6 plugins•Total 90 minutes
  • Ebook: Module 04: AI for Enhancing Team Collaboration and Productivity•15 minutes
  • Activity: Drag-and-Drop•15 minutes
  • Activity: Hotspot•15 minutes
  • Activity: Clickable•15 minutes
  • Activity: Tab•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

What's included

12 videos1 reading1 assignment6 plugins

12 videos•Total 88 minutes
  • Podcast: Module 5: Ethical Considerations and Bias in AI•28 minutes
  • 5.1 AI Ethics and Policy Frameworks•6 minutes
  • 5.2 Concerns and Challenges in AI Adoption•4 minutes
  • 5.3 Introduction to Ethical Considerations in AI including Privacy, Transparency, and Accountability•3 minutes
  • 5.4 Ethical Use of AI in Projects•7 minutes
  • 5.5 Identifying and Mitigating Biases in AI Applications•5 minutes
  • 5.6 Types of Biases in AI and Their Impact on Project Outcomes•7 minutes
  • 5.7 Strategies for Identifying, Assessing, and Mitigating Biases in AI Tools and Data•6 minutes
  • 5.8 Frameworks for Establishing AI Governance within Project Management Practices•5 minutes
  • 5.9 Roles and Responsibilities of Project Managers in Ensuring Ethical AI Use•6 minutes
  • 5.10 Analysis of Real-World Scenarios Where Ethical Considerations in AI Applications Impacted Project Management•6 minutes
  • 5.11 Guidelines for Ethical AI Use in Projects•6 minutes
1 reading•Total 10 minutes
  • Hands On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 5•30 minutes
6 plugins•Total 90 minutes
  • Ebook: Module 05: Ethical Considerations and Bias in AI•15 minutes
  • Activity: Flip Card•15 minutes
  • Activity: Drag-and-Drop•15 minutes
  • Activity: Hotspot•15 minutes
  • Activity: Clickable•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

What's included

16 videos1 reading1 assignment9 plugins

16 videos•Total 136 minutes
  • Podcast: Module 6: Implementing AI in Projects•53 minutes
  • 6.1 Steps for Integrating AI into Project Management Processes•6 minutes
  • 6.2 Identifying Projects and Tasks Suitable for AI Enhancement•7 minutes
  • 6.3 Strategies for Integrating AI Technologies into Existing Project Management Processes•5 minutes
  • 6.4 Evaluation Criteria for Selecting AI Tools and Technologies•7 minutes
  • 6.5 Comparison of Leading AI Project Management Tools•4 minutes
  • 6.6 Data Collection, Cleaning, and Preparation Techniques for AI Analysis•7 minutes
  • 6.7 Importance of Quality Data in Training AI Models•3 minutes
  • 6.8 Creating a Roadmap for AI Implementation in Projects•6 minutes
  • 6.9 Stakeholder Engagement and Communication Strategies•5 minutes
  • 6.10 Techniques for Monitoring AI Tool Performance and Project Impact•7 minutes
  • 6.11 Adjusting and Optimizing AI Applications in Real-Time•3 minutes
  • 6.12 Methods for Assessing the Effectiveness and ROI of AI Implementations•7 minutes
  • 6.13 Case Studies on Successful AI Integration in Projects•3 minutes
  • 6.14 Identifying and Mitigating Risks Associated with AI Implementation•8 minutes
  • 6.15 Ethical Considerations and Bias Management in AI Projects•4 minutes
1 reading•Total 10 minutes
  • Hands On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 6•30 minutes
9 plugins•Total 135 minutes
  • Ebook: Module 06: Implementing AI in Projects•15 minutes
  • Activity: Drag-and-Drop•15 minutes
  • Activity: Hotspot•15 minutes
  • Activity: Timeline•15 minutes
  • Activity: True/False•15 minutes
  • Activity: Tab•15 minutes
  • Activity: Drag-and-Drop•15 minutes
  • Activity: Flip Card•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

What's included

10 videos1 reading1 assignment5 plugins

10 videos•Total 73 minutes
  • Podcast: Module 7 Future of AI in Project Management•24 minutes
  • 7.1 The Future of AI in Project Management•7 minutes
  • 7.2 Advanced AI in Project Management•6 minutes
  • 7.3 How AI is Changing the Skill Set and Responsibilities of Project Managers•7 minutes
  • 7.4 Preparing for a Future where AI plays a Central Role in Project Planning and Execution (Title: Shaping the Future of AI in Project Management)•4 minutes
  • 7.5 The Role of AI in Promoting Sustainable Project Management Practices•5 minutes
  • 7.6 Case Studies on AI-driven Sustainability Initiatives•6 minutes
  • 7.7 Strategies for Staying Updated with AI Advancements•6 minutes
  • 7.8 Building a Culture of Continuous Learning and Adaptation within Project Teams•3 minutes
  • 7.9 AI for Predictive Analysis and Project Forecasting•6 minutes
1 reading•Total 10 minutes
  • Hands On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 7•30 minutes
5 plugins•Total 75 minutes
  • Ebook: Module 07: Future of AI in Project Management•15 minutes
  • Activity: Timeline•15 minutes
  • Activity: True/False•15 minutes
  • Activity: Hotspot•15 minutes
  • Graded Assessment- 5 Questions•15 minutes

Instructor

AI CERTs
58 Courses•43,703 learners

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Frequently asked questions

It’s ideal for professionals who want to improve how they handle projects using AI in real work environments.

No, the course is designed to be practical and accessible, even for non-technical learners.

AI helps improve planning accuracy, identify risks earlier, and support better decision-making.

It covers IT, digital transformation, and business projects across industries.

Yes, you’ll work with tools like ClickUp, Trello, Wrike, and Hive.

It focuses on practical application while also strengthening decision-making skills.

It shows how AI can automate tasks and improve execution in real project scenarios.

Yes, these approaches work across Agile, Waterfall, and hybrid environments.

Yes, AI helps identify risks early and supports stronger mitigation strategies.

Yes, it is designed to be easy to understand without technical complexity.

It includes real scenarios and tool-based learning for direct application.

It helps you build modern skills and prepares you to become an AI project manager.

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,