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

Managing Projects with AI

Instructor: AI CERTs Team

Included with

Learn more

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.

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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 videos Total 195 minutes

Audiobook: Course Introduction 6 minutes
Course Introduction 3 minutes
Audiobook: Module 1: Introduction to Artificial Intelligence in Project Management 81 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

19 videos2 readings1 assignment7 plugins

19 videos Total 197 minutes

Audiobook: Module 2: AI Tools for Project Management 92 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

19 videos1 reading1 assignment7 plugins

19 videos Total 207 minutes

Audiobook: Module 3: Data-Driven Decision Making 92 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

16 videos1 reading1 assignment6 plugins

16 videos Total 175 minutes

Audiobook: Module 4: AI for Enhancing Team Collaboration and Productivity 79 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

13 videos1 reading1 assignment6 plugins

13 videos Total 167 minutes

Audiobook: Module 5: Ethical Considerations and Bias in AI 79 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

17 videos1 reading1 assignment9 plugins

17 videos Total 228 minutes

Audiobook: Module 6: Implementing AI in Projects 92 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

11 videos1 reading1 assignment5 plugins

11 videos Total 176 minutes

Audiobook: Module 7: Future of AI in Project Management 103 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 Team

AI CERTs

44 Courses 14,523 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.