What types of projects does this course focus on?

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

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

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

Is this course more strategic or practical?

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

How is this different from traditional project management courses?

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

Can these skills be applied to Agile or hybrid models?

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

Will this help me manage risks better?

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

Is this course suitable for non-technical project managers?

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

How practical is the learning experience?

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

What career value does this course add?

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

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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Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Managing Projects with AI

Instructeur : AI CERTs Team

2 970 déjà inscrits

Inclus avec En savoir plus

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

10 avis

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

10 avis

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Team Collaboration
Catégorie : Project Performance
Catégorie : Risk Management
Catégorie : Governance
Catégorie : Forecasting
Catégorie : Project Planning
Catégorie : AI Product Strategy
Catégorie : Scheduling
Catégorie : Project Implementation
Catégorie : Decision Making
Catégorie : Generative AI Agents
Catégorie : Responsible AI
Catégorie : Project Risk Management
Catégorie : Timelines
Catégorie : Project Management
Catégorie : Project Scoping
Catégorie : Digital Transformation

Outils que vous découvrirez

Catégorie : AI Workflows
Catégorie : Project Management Software
Catégorie : Generative AI

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

7 devoirs

Enseigné en Anglais

Planning flexible

Apprenez à votre propre rythme

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Il y a 8 modules dans ce cours

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.

Inclus

19 vidéos1 lecture1 devoir1 plugin

19 vidéosTotal 130 minutes

Course Introduction 3 minutes
Audiobook: Module 1: Introduction to AI in Project Management41 minutes
Podcast: Module 1: Introduction to AI in Project Management23 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 lectureTotal 10 minutes

Ebook: Module 1: Introduction to AI in Project Management10 minutes

1 devoirTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 15 minutes

Activity: Sequence15 minutes

Inclus

20 vidéos1 lecture1 devoir1 plugin

20 vidéosTotal 151 minutes

Audiobook: Module 2: AI Tools for Project Management47 minutes
Podcast: Module 2: AI Tools for Project Management21 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 lectureTotal 10 minutes

Ebook: Module 2: AI Tools for Project Management10 minutes

1 devoirTotal 30 minutes

Quiz 230 minutes

1 pluginTotal 15 minutes

Activity: Flip Card15 minutes

Inclus

21 vidéos1 lecture1 devoir1 plugin

21 vidéosTotal 137 minutes

Audiobook: Module 3: Data-Driven Decision Making36 minutes
Podcast: Module 3: Data-Driven Decision Making22 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 lectureTotal 10 minutes

Ebook: Module 3: Data Driven Decision Making10 minutes

1 devoirTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 15 minutes

Activity: Hotspot15 minutes

Inclus

16 vidéos1 lecture1 devoir1 plugin

16 vidéosTotal 123 minutes

Audiobook: Module 4: AI for Enhancing Team Collaboration and Productivity34 minutes
Podcast: Module 4: AI for Enhancing Team Collaboration and Productivity20 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 lectureTotal 10 minutes

Ebook: Module 4: AI for Enhancing Team Collaboration and Productivity10 minutes

1 devoirTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 15 minutes

Activity: Popup15 minutes

Inclus

15 vidéos1 lecture1 devoir1 plugin

15 vidéosTotal 127 minutes

Audiobook: Module 5: Ethical Considerations and Bias in AI33 minutes
Podcast: Module 5: Ethical Considerations and Bias in AI23 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 lectureTotal 10 minutes

Ebook: Module 5: Ethical Considerations and Bias in AI10 minutes

1 devoirTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 15 minutes

Activity: Drag & Drop15 minutes

Inclus

18 vidéos1 lecture1 devoir1 plugin

18 vidéosTotal 160 minutes

Audiobook: Module 6: Implementing AI in Projects50 minutes
Podcast: Module 6: Implementing AI in Projects21 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 lectureTotal 10 minutes

Ebook: Module 6: Implementing AI in Projects10 minutes

1 devoirTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 15 minutes

Activity: True or False15 minutes

Inclus

12 vidéos1 lecture1 devoir1 plugin

12 vidéosTotal 103 minutes

Audiobook: Module 7 Future of AI in Project Management32 minutes
Podcast: Module 7 Future of AI in Project Management17 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
Course Summary3 minutes

1 lectureTotal 10 minutes

Ebook: Module 7: Future of AI in Project Management10 minutes

1 devoirTotal 30 minutes

Quiz 730 minutes

1 pluginTotal 15 minutes

Activity: Timeline15 minutes

Inclus

4 vidéos1 lecture

Instructeur

AI CERTs Team

AI CERTs

62 Cours61 484 apprenants

Offert par

AI CERTs

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Foire Aux 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.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.