Managing Projects with AI

Managing Projects with AI

Instructor: AI CERTs Team

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8 modules

Gain insight into a topic and learn the fundamentals.

13 reviews

Intermediate level

Recommended experience

1 week 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.

13 reviews

Intermediate level

Recommended experience

1 week 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.

Skills you'll gain

Tools you'll learn

Details to know

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Assessments

7 assignments

Taught in English

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There are 8 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 fundamentals of Artificial Intelligence and its impact on modern project management practices. Learners explore AI concepts, applications, and how AI supports planning, execution, monitoring, and project outcomes. The module establishes a foundation for understanding AI-driven project management approaches.

What's included

17 videos1 assignment1 plugin

17 videosTotal 66 minutes

Course Introduction 3 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 4 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 Managers5 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 5 minutes

Activity: Sequence5 minutes

This module explores various AI tools and platforms that support project management activities. Learners understand how AI assists with scheduling, resource allocation, risk analysis, automation, and reporting. The module helps learners identify suitable AI solutions for improving project efficiency.

What's included

18 videos1 assignment1 plugin

18 videosTotal 83 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 Collaboration5 minutes
2.8 AI Tools for Decision Support and Analytics5 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
2.10.1 Hands-on Activities: Guided Tool Demonstrations for AI-Enabled Project Management 5 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

1 assignmentTotal 30 minutes

Quiz 230 minutes

1 pluginTotal 5 minutes

Activity: Flip Card5 minutes

This module explains how AI enables data-driven decision-making in project environments. Learners explore data analysis, predictive insights, performance tracking, and forecasting techniques. The module helps project professionals use data effectively to make informed decisions.

What's included

19 videos1 assignment1 plugin

19 videosTotal 79 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 Amazon4 minutes
3.12 Using Data to Make Decisions at Southwest Airlines5 minutes
3.13 Overview of Tools and Software that Leverage AI for Data Visualization and Reporting4 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 Analysis7 minutes
3.18 Best Practices for Ensuring Security Aspects of AI in Data Analysis6 minutes
3.19 Best Practices for Ensuring and Ethical Use of AI in Data Analysis 5 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 5 minutes

Activity: Hotspot5 minutes

This module focuses on how AI enhances teamwork, communication, and productivity within project teams. Learners explore AI-powered collaboration tools, workflow automation, and intelligent assistance for daily project activities. The module demonstrates ways to improve team efficiency through AI adoption.

What's included

14 videos1 assignment1 plugin

14 videosTotal 69 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 Automation8 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 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 5 minutes

Activity: Popup5 minutes

This module explores ethical challenges associated with using AI in project management. Learners understand AI bias, transparency, privacy, and responsible AI practices. The module helps project professionals adopt AI solutions while maintaining fairness and accountability.

What's included

13 videos1 assignment1 plugin

13 videosTotal 71 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
5.9.1 Emerging Global AI Regulations and Standards5 minutes
5.10 Analysis of Real-World Scenarios Where Ethical Considerations in AI Applications Impacted Project Management6 minutes
5.10.0 Introduction to the Case Studies on Ethical AI Use5 minutes
5.11 Guidelines for Ethical AI Use in Projects6 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 5 minutes

Activity: Drag & Drop5 minutes

This module covers the process of integrating AI into project management practices. Learners explore AI adoption strategies, implementation planning, challenges, and best practices. The module enables learners to apply AI solutions effectively within project environments.

What's included

16 videos1 assignment1 plugin

16 videosTotal 89 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 Tools5 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 Projects5 minutes
6.16 Workshop: AI Tool Deployment 5 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 5 minutes

Activity: True or False5 minutes

This module examines emerging trends and future possibilities of AI in project management. Learners explore evolving AI capabilities, automation advancements, and their potential impact on project roles and processes. The module prepares learners to understand future AI-driven project management practices.

What's included

9 videos1 assignment1 plugin

9 videosTotal 50 minutes

7.1 The Future of AI in Project Management8 minutes
7.2 Advanced AI in Project Management6 minutes
7.3 How AI is Changing the Skill Set and Responsibilities of Project Managers8 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 Forecasting5 minutes