What types of projects does this course focus on?

The course covers IT, digital transformation, product development, and cross-functional business projects.

Will I learn hands-on tools used by project teams?

Yes. You’ll work with AI-enabled project management tools like ClickUp, Trello, Wrike, and Hive.

Is this course more strategic or technical?

It balances both - focusing on strategic decision-making while showing practical AI applications in daily project workflows.

How is this course different from traditional project management courses?

It goes beyond frameworks by teaching how AI automates planning, predicts risks, and supports smarter execution.

Can these skills be applied to Agile or hybrid project models?

Yes. The AI concepts and tools apply across Agile, Waterfall, and hybrid project management approaches.

Will this help me manage risks and uncertainties better?

Absolutely. You’ll learn how AI models identify risks early and provide data-backed mitigation strategies.

Is this course suitable for non-technical project managers?

Yes. The content is designed to be accessible, with business-focused explanations rather than technical jargon.

How practical is the learning experience?

The course includes real-world scenarios, use cases, and tool-based examples to ensure immediate workplace relevance.

What career value does this course add?

It equips you with in-demand AI skills that enhance your leadership profile and prepare you for future-ready project roles.

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.

Managing Projects with AI

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Managing Projects with AI

Instructor: AI CERTs Team

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

AI-Powered Project Planning: Apply AI to improve project scheduling, scope planning, timeline estimation for more accurate and predictable delivery.
Data-Driven Decision Making: Use AI insights and analytics to assess forecast outcomes and make informed decisions throughout the project lifecycle.
Smart Resource & Risk Management: Leverage AI tools to optimize resource allocation identify risks early and proactively manage project constraints.
AI Tools for Modern Project Teams: Work with AI-enabled platforms like ClickUp, Wrike, and Hive to enhance collaboration, tracking, and productivity.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 7 modules in this course

AI for Project Management equips professionals with the skills to lead modern projects using artificial intelligence. This program explores how AI transforms planning, execution, risk management, and decision-making across complex, cross-functional projects.

You’ll gain a strong foundation in AI concepts tailored specifically for project managers, while learning how to apply data-driven insights to improve timelines, resource allocation, and delivery outcomes. Through real-world scenarios and hands-on learning, the course demonstrates how AI enhances collaboration, predicts risks, and supports smarter decision-making throughout the project lifecycle. Learners will work with leading AI-enabled project management tools such as Hive, Wrike, Trello, and ClickUp, gaining practical experience in AI-assisted scheduling, workflow optimization, and team productivity. Ethical AI integration, governance considerations, and future trends in AI-driven project management are also key focus areas. Designed for project managers, IT professionals, business strategists, and aspiring leaders, this program prepares you to confidently manage AI-powered projects and drive measurable impact in today’s fast-evolving digital workplace.

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

20 videos4 readings1 assignment7 plugins

20 videosTotal 195 minutes

Audiobook: Course Introduction6 minutes
Course Introduction 3 minutes
Audiobook: Module 1: Introduction to Artificial Intelligence in Project Management81 minutes
Podcast: Module 1: Introduction to AI in Project Management41 minutes
1.1 Overview of AI and its Relevance in Project Management 5 minutes
1.2 Basic Concepts, Terminologies, and Definitions of AI4 minutes
1.3 Brief History and Evolution of AI Technologies3 minutes
1.4 Key AI Technologies Impacting Project Management5 minutes
1.5 Components of Project Management4 minutes
1.6 Overview of AI’s Role and Potential to Transform Project Management5 minutes
1.7 Introduction to Machine Learning, Natural Language Processing, and Robotics4 minutes
1.8 Machine Learning5 minutes
1.9 NLP4 minutes
1.10 Robotics3 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 Environments2 minutes
1.16 AI's Future Impact on Project Management: Preparing Managers6 minutes

4 readingsTotal 40 minutes

Hands On 110 minutes
Hands On 210 minutes
Hands On 3 10 minutes
Hands On 410 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

7 pluginsTotal 105 minutes

Ebook: Module 01: Introduction to AI in Project Management 15 minutes
Activity: Drag and Drop15 minutes
Activity: Tab 15 minutes
Activity: Dropdown15 minutes
Activity: Clickable15 minutes
Activity: True/False15 minutes
Graded Assessment- 5 Questions15 minutes

What's included

19 videos2 readings1 assignment7 plugins

19 videosTotal 197 minutes

Audiobook: Module 2: AI Tools for Project Management92 minutes
Podcast: Module 2: AI Tools for Project Management28 minutes
2.1 Introduction to Various AI Tools and Software6 minutes
2.2 Specific AI Tools and Software Used in Project Management5 minutes
2.3 Revolutionizing Project Management6 minutes
2.4 AI Tools for Task Management and Scheduling4 minutes
2.5 AI Tools for Resource Allocation and Optimization4 minutes
2.6 AI Tools for Risk Management and Mitigation5 minutes
2.7 AI Tools for Stakeholder Communication and Collaboration4 minutes
2.8 AI Tools for Decision Support and Analytics4 minutes
2.9 Applications, Challenges and Considerations in Implementing AI Tools6 minutes
2.10 Case Studies: Successful Implementation of AI Tools in Project Management3 minutes
2.11 AI-Powered Project Management: Future Trends and Excellence4 minutes
2.12 Selecting AI Tools4 minutes
2.13 Implementing AI Tools4 minutes
2.14 Integrating AI Tools in the Data Preparation, Training, Monitoring Process of Project Management6 minutes
2.15 Steps for integrating AI tools into Project Management6 minutes
2.16 Analysis and Best Practices for Project Excellence4 minutes
2.17 Case Studies2 minutes

2 readingsTotal 20 minutes

Hands On 110 minutes
Hands On 210 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

7 pluginsTotal 105 minutes

Ebook: Module 02: AI Tools for Project Management15 minutes
Activity: Drag-and-Drop15 minutes
Activity: Accordion15 minutes
Activity: Flip Card15 minutes
Activity: Hotspot15 minutes
Activity: Hotspot15 minutes
Graded Assessment- 5 Questions15 minutes

What's included

19 videos1 reading1 assignment7 plugins

19 videosTotal 207 minutes

Audiobook: Module 3: Data-Driven Decision Making92 minutes
Podcast: Module 3: Data-Driven Decision Making49 minutes
3.1 Understanding the Role of Data in AI-Driven Projects 6 minutes
3.2 Types of Data used in Project Management2 minutes
3.3 How to Source the Data used in Project Management5 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 Management5 minutes
3.6 How AI Algorithms Can Assist in Analyzing Large Datasets to Identify Trends and Insights3 minutes
3.7 Strategies for Applying Data Insights to Improve Project Planning and Execution6 minutes
3.8 Strategies for Applying Data Insights to Improve Project Monitoring3 minutes
3.9 Real-World Examples of Data-Driven Decision-Making Enhancing Project Outcomes3 minutes
3.10 Examples of Decision-Making at Google3 minutes
3.11 Data-driven Decisions at Amazon3 minutes
3.12 Using Data to Make Decisions at Southwest Airlines3 minutes
3.13 Overview of Tools and Software that Leverage AI for Data Visualization and Reporting3 minutes
3.14 Data Visualization Techniques3 minutes
3.15 Practical Demonstrations on Creating Data Visualizations that Aid in Project Decision-Making3 minutes
3.16 Addressing Common Challenges in Data-Driven Decision-Making4 minutes
3.17 Best Practices for Ensuring Data Quality, Security Aspects, and Ethical Use of AI in Data Analysis8 minutes

1 readingTotal 10 minutes

Hands On 110 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

7 pluginsTotal 105 minutes

Ebook: Module 03: Data Driven Decision Making15 minutes
Activity: Dropdown15 minutes
Activity: Flip Card15 minutes
Activity: Clickable15 minutes
Activity: Hotspot15 minutes
Activity: Carousel15 minutes
Graded Assessment- 5 Questions15 minutes

What's included

16 videos1 reading1 assignment6 plugins

16 videosTotal 175 minutes

Audiobook: Module 4: AI for Enhancing Team Collaboration and Productivity79 minutes
Podcast: Module 4: AI for Enhancing Team Collaboration and Productivity27 minutes
4.1 Enhancing Teamwork with AI: Tools and Impact6 minutes
4.2 Benefits and Future of AI-enhanced Collaboration Tools4 minutes
4.3 Practical Examples of AI Applications in Facilitating Remote Work and Team Dynamics5 minutes
4.4 AI Applications in Team Collaboration Tools5 minutes
4.5 Boosting Productivity with AI: Case studies5 minutes
4.6 Principles and Techniques for AI-driven Automation7 minutes
4.7 Benefits and Challenges of AI-driven Automation3 minutes
4.8 Framework for Implementing AI-driven Automation3 minutes
4.9 Case Studies: AI’s Impact on Project Timelines, Quality, and Productivity Improvement5 minutes
4.10 AI’s Role in Knowledge Management and Information Retrieval to Support Project Decision-Making6 minutes
4.11 Tools and Platforms that Use AI for Organizing Project Documentation and Learnings5 minutes
4.12 Collaboration Challenges and Overcoming Barriers8 minutes
4.13 Building Trust, Enhancing Teamwork, and Leveraging AI Solutions5 minutes
4.14 Strategies for Implementing AI tools that Complements with Team Strengths and Project Needs4 minutes

1 readingTotal 10 minutes

Hands On 10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

6 pluginsTotal 90 minutes

Ebook: Module 04: AI for Enhancing Team Collaboration and Productivity15 minutes
Activity: Drag-and-Drop15 minutes
Activity: Hotspot15 minutes
Activity: Clickable15 minutes
Activity: Tab15 minutes
Graded Assessment- 5 Questions15 minutes

What's included

13 videos1 reading1 assignment6 plugins

13 videosTotal 167 minutes

Audiobook: Module 5: Ethical Considerations and Bias in AI79 minutes
Podcast: Module 5: Ethical Considerations and Bias in AI28 minutes
5.1 AI Ethics and Policy Frameworks6 minutes
5.2 Concerns and Challenges in AI Adoption4 minutes
5.3 Introduction to Ethical Considerations in AI including Privacy, Transparency, and Accountability3 minutes
5.4 Ethical Use of AI in Projects7 minutes
5.5 Identifying and Mitigating Biases in AI Applications5 minutes
5.6 Types of Biases in AI and Their Impact on Project Outcomes7 minutes
5.7 Strategies for Identifying, Assessing, and Mitigating Biases in AI Tools and Data6 minutes
5.8 Frameworks for Establishing AI Governance within Project Management Practices5 minutes
5.9 Roles and Responsibilities of Project Managers in Ensuring Ethical AI Use6 minutes
5.10 Analysis of Real-World Scenarios Where Ethical Considerations in AI Applications Impacted Project Management6 minutes
5.11 Guidelines for Ethical AI Use in Projects6 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

6 pluginsTotal 90 minutes

Ebook: Module 05: Ethical Considerations and Bias in AI15 minutes
Activity: Flip Card15 minutes
Activity: Drag-and-Drop15 minutes
Activity: Hotspot15 minutes
Activity: Clickable15 minutes
Graded Assessment- 5 Questions15 minutes

What's included

17 videos1 reading1 assignment9 plugins

17 videosTotal 228 minutes

Audiobook: Module 6: Implementing AI in Projects92 minutes
Podcast: Module 6: Implementing AI in Projects53 minutes
6.1 Steps for Integrating AI into Project Management Processes6 minutes
6.2 Identifying Projects and Tasks Suitable for AI Enhancement7 minutes
6.3 Strategies for Integrating AI Technologies into Existing Project Management Processes5 minutes
6.4 Evaluation Criteria for Selecting AI Tools and Technologies7 minutes
6.5 Comparison of Leading AI Project Management Tools4 minutes
6.6 Data Collection, Cleaning, and Preparation Techniques for AI Analysis7 minutes
6.7 Importance of Quality Data in Training AI Models3 minutes
6.8 Creating a Roadmap for AI Implementation in Projects6 minutes
6.9 Stakeholder Engagement and Communication Strategies5 minutes
6.10 Techniques for Monitoring AI Tool Performance and Project Impact7 minutes
6.11 Adjusting and Optimizing AI Applications in Real-Time3 minutes
6.12 Methods for Assessing the Effectiveness and ROI of AI Implementations7 minutes
6.13 Case Studies on Successful AI Integration in Projects3 minutes
6.14 Identifying and Mitigating Risks Associated with AI Implementation8 minutes
6.15 Ethical Considerations and Bias Management in AI Projects4 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

9 pluginsTotal 135 minutes

Ebook: Module 06: Implementing AI in Projects15 minutes
Activity: Drag-and-Drop15 minutes
Activity: Hotspot15 minutes
Activity: Timeline15 minutes
Activity: True/False15 minutes
Activity: Tab15 minutes
Activity: Drag-and-Drop15 minutes
Activity: Flip Card15 minutes
Graded Assessment- 5 Questions15 minutes

What's included

11 videos1 reading1 assignment5 plugins

11 videosTotal 176 minutes

Audiobook: Module 7: Future of AI in Project Management103 minutes
Podcast: Module 7 Future of AI in Project Management24 minutes
7.1 The Future of AI in Project Management7 minutes
7.2 Advanced AI in Project Management6 minutes
7.3 How AI is Changing the Skill Set and Responsibilities of Project Managers7 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 Practices5 minutes
7.6 Case Studies on AI-driven Sustainability Initiatives6 minutes
7.7 Strategies for Staying Updated with AI Advancements6 minutes
7.8 Building a Culture of Continuous Learning and Adaptation within Project Teams3 minutes
7.9 AI for Predictive Analysis and Project Forecasting6 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

5 pluginsTotal 75 minutes

Ebook: Module 07: Future of AI in Project Management15 minutes
Activity: Timeline15 minutes
Activity: True/False15 minutes
Activity: Hotspot15 minutes
Graded Assessment- 5 Questions15 minutes

Instructor

AI CERTs Team

AI CERTs

56 Courses26,762 learners

Offered by

AI CERTs

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Frequently asked questions

This course is ideal for project managers, IT professionals, business strategists, and graduates looking to apply AI in real project environments.

No deep AI or coding experience is required. The course explains AI concepts in a practical, project-management context.

AI enhances planning accuracy, risk prediction, resource optimization, and decision-making across the project lifecycle.

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.

Managing Projects with AI

Managing Projects with AI

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 7 modules in this course

Module 01: Introduction to AI in Project Management

What's included

Module 02: AI Tools for Project Management

What's included

Module 03: Data Driven Decision Making

What's included

Module 04: AI for Enhancing Team Collaboration and Productivity

What's included

Module 05: Ethical Considerations and Bias in AI

What's included

Module 06: Implementing AI in Projects

What's included

Module 07: Future of AI in Project Management

What's included

Instructor

Offered by

Explore more from Leadership and Management

Project Management with AI

AI for Project Managers and Scrum Masters

Managing AI Projects: From Strategy to Delivery

AI Projects: Plan, Track, Deliver

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

1. Who is this course designed for?

2. Do I need prior AI or programming experience?

3. How does AI improve project management outcomes?

More questions