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Daniel C. Yeomans and Skill-Up EdTech Team

By 2030, 80 percent of project management work will be done by AI (Gartner), enabling project managers to boost efficiency by automating tasks, generating insights from vast data sets, and speeding up tasks. This course gives existing and aspiring project managers the job-ready skills in gen AI tools needed to significantly enhance their effectiveness.

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By 2030, 80 percent of project management work will be done by AI (Gartner), enabling project managers to boost efficiency by automating tasks, generating insights from vast data sets, and speeding up tasks. This course gives existing and aspiring project managers the job-ready skills in gen AI tools needed to significantly enhance their effectiveness.

During the course, you ’ll explore how to use gen AI techniques and tools such as ChatGPT, Copilot, Gemini, and DALL-E throughout the project management lifecycle. You’ll also learn about the challenges and ethical considerations of using gen AI in project management.

Through hands-on labs, you’ll get valuable practical experience using ChatGPT and other gen AI tools. You’ll work on a Project Charter and Work Breakdown Structure (WBS), and you’ll summarize documents. Plus, you’ll complete a project to assess how gen AI can be leveraged in a project.

If you’re a project manager, project coordinator, scrum master, or other related professional looking to harness the power of gen AI, this course will give you the job-ready skills you need to leap ahead.

Enroll today and boost your project management career with skills employers want.

Enroll now

What's inside

Syllabus

Project Management and Generative AI
In this module, you will learn how AI is rapidly evolving in the world of project management. AI is significantly transforming the landscape of project management. Most project managers are using generative AI to improve project management effectiveness. You will learn how AI tools and techniques have improved project management tasks' streamlining, idea generation, and overall efficiency.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops the skills necessary to use AI to automate tasks, generate insights, and speed up project management-related tasks
Teaches students how to use gen AI tools such as ChatGPT, Copilot, Gemini, and DALL-E throughout a project's lifecycle
Provides hands-on experience working with gen AI tools and completing a project to assess how AI can be used to enhance project management
Suitable for individuals with various backgrounds in project management, including project managers, coordinators, scrum masters, and other related professionals
Covers the challenges, as well as the ethical considerations, of using gen AI in project management
Teaches skills in gen AI tools that are highly relevant to the evolving field of project management

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Reviews summary

Generative ai for project management

According to learners, this course provides a solid foundation for integrating Generative AI into project management, enabling professionals to automate tasks and generate insights. Students frequently highlight the practical examples and hands-on labs, especially those involving ChatGPT, as particularly useful. The inclusion of a prompt cheat sheet and discussions on ethical considerations are seen as significant benefits. While many find it well-structured and engaging, some more experienced PMs might find the depth lacking in advanced applications. Overall, it's highly regarded for its job-ready skills and timely content, though a few mention tools evolving rapidly.
Addresses important ethical aspects of using AI in projects.
"The discussions on ethical considerations were also very important. I feel much more confident using these tools."
"The ethical considerations module was brief but important. I wish there were more in-depth case studies."
"I appreciate how the course prepared me for the challenges and ethical dilemmas of using AI in projects."
Content is current and highly relevant to modern project management.
"This course is a game-changer for project managers! Highly recommend for anyone looking to integrate AI into their PM workflow."
"Very timely and relevant content. The course helped me understand how to use Gemini effectively for project planning."
"It's clear that AI is transforming our field, and this course helps you stay ahead."
Provides a strong base in using Gen AI for project management.
"Excellent course! It provided a solid foundation in using AI for project documentation like Project Charters and WBS."
"This course has transformed how I approach project tasks. I used to spend hours summarizing documents, but now with the AI tools learned, it's a breeze."
"The course covered essential tools and techniques thoroughly. I found the module on streamlining project tasks particularly valuable."
Focuses on immediate, real-world application of AI tools in PM.
"The practical examples and hands-on labs with ChatGPT were incredibly useful. I immediately applied the prompt cheat sheet to my daily tasks."
"I loved the real-world scenarios presented. It's clear that AI is transforming our field, and this course helps you stay ahead."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
AI tools evolve quickly, leading to potential interface changes.
"I liked the overview, but the tools evolve so fast. By the time I finished, some interfaces had already changed."
"Unfortunately, some of the demos were hard to follow due to technical issues with the platform or outdated tool versions."
"It's tough when AI tools update so fast, making some parts of the course feel a bit behind the curve."
May be too basic for experienced project managers with AI background.
"Some parts felt a bit basic if you already have a strong AI background. Experienced PMs might find it lacks depth in certain areas."
"While the idea is good, I felt some of the hands-on sections were too simplistic. I was hoping for more advanced applications."
"I was hoping for more advanced applications; it could use more in-depth coverage on complex topics."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI: Unleash Your Project Management Potential with these activities:
Review basic concepts of project management
Reviewing core principles will prepare you for the course's advanced topics and help build a strong foundation.
Browse courses on Project Management
Show steps
  • Read introductory texts on project management.
  • Take online quizzes or practice questions related to PM.
  • Review past coursework or notes from previous PM classes.
Review AI Fundamentals
Refresh your understanding of the core concepts of artificial intelligence, such as machine learning, natural language processing, and computer vision, to strengthen your foundation for this course.
Show steps
  • Read through your notes or textbooks from previous AI courses.
  • Take practice quizzes or mock exams to test your knowledge.
  • Review online resources, such as articles, videos, or tutorials, to reinforce your understanding.
Gamified AI Learning Modules
Master the fundamentals of AI in project management through interactive, gamified tutorials, making learning an enjoyable and engaging experience.
Show steps
  • Complete gamified modules on AI concepts
  • Apply AI techniques in real-world scenarios
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Review the basics of project management
Brush up on the foundational principles of project management to enhance your understanding of the course material.
Show steps
  • Revise key concepts such as project scope, timelines, and resource allocation.
  • Explore industry best practices and methodologies, including Agile and Waterfall.
Familiarize yourself with ChatGPT and other Gen AI tools
Hands-on practice using these tools will enhance your experience in the course.
Browse courses on Generative AI
Show steps
  • Follow tutorials on using ChatGPT and other Gen AI tools.
  • Experiment with different features and functionalities.
ChatGPT Practice Exercises
Enhance your proficiency in using ChatGPT for project management by completing practice exercises and exploring its capabilities.
Browse courses on ChatGPT
Show steps
  • Generate a project charter using ChatGPT
  • Create a work breakdown structure (WBS)
Practice Using ChatGPT
Gain hands-on experience using ChatGPT by practicing with various prompts and tasks. This will enhance your proficiency in harnessing its capabilities for project management.
Browse courses on ChatGPT
Show steps
  • Create an account on the ChatGPT platform.
  • Start a chat and experiment with different prompts related to project management tasks, such as generating meeting agendas, summarizing documents, or creating project plans.
  • Analyze the responses from ChatGPT and evaluate its effectiveness in completing the tasks.
Practice creating project documents using AI tools
Repeatedly creating documents using AI tools will build fluency and confidence.
Browse courses on Project Charter
Show steps
  • Choose a project scenario and gather relevant information.
  • Use AI tools to assist in creating a Project Charter.
  • Use AI tools to assist in creating a Work Breakdown Structure.
  • Use AI tools to assist in creating other project documents.
Project: AI Proposal
Refine your understanding of AI in project management by developing a proposal that includes a problem statement and solution using AI technology.
Show steps
  • Define the problem statement
  • Research AI solutions
  • Develop a solution proposal
Explore Additional Gen AI Tools for Project Management
Expand your knowledge and skills by exploring additional generative AI tools beyond ChatGPT. Discover various applications and techniques to enhance your project management capabilities.
Browse courses on Generative AI
Show steps
  • Research and identify different generative AI tools available for project management.
  • Select a few tools that align with your interests or project needs.
  • Follow online tutorials or documentation to learn how to use the tools effectively.
  • Experiment with the tools and explore their potential benefits for project management tasks.
AI Implementation Plan
Deepen your understanding of AI in project management by creating a comprehensive implementation plan, outlining the steps, resources, and timeline for integrating AI.
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Show steps
  • Identify AI use cases
  • Develop an AI implementation roadmap
  • Create a budget and resource plan
Develop a Project Charter and WBS Using Gen AI
Apply your knowledge of generative AI to create two essential project management documents: a Project Charter and a Work Breakdown Structure (WBS). This practical exercise will enhance your understanding of how AI can streamline these tasks.
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Show steps
  • Gather the necessary information about your project, including project scope, objectives, and stakeholders.
  • Use ChatGPT or other generative AI tools to generate a draft of the Project Charter, ensuring it includes all the essential elements.
  • Refine and edit the draft to align it with your project's specific requirements.
  • Follow a similar process to create a WBS using generative AI, breaking down the project into smaller, manageable tasks.
  • Review and finalize both documents, ensuring they are clear, concise, and aligned with project goals.
Participate in peer review of AI-generated project documents
Exchanging feedback with peers will enhance critical thinking and improve document quality.
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Show steps
  • Form a study group or connect with classmates.
  • Share AI-generated project documents for review.
  • Provide constructive feedback and suggestions.
  • Incorporate feedback into revised project documents.
Write a Blog Post on Generative AI in Project Management
Reinforce your understanding of generative AI's role in project management by writing a blog post. Share your insights, explore real-world applications, and provide practical tips, enhancing your knowledge and communication skills.
Browse courses on Generative AI
Show steps
  • Research and gather information about the use of generative AI in project management.
  • Identify key points, insights, and real-world examples to include in your post.
  • Write an outline and draft your blog post, ensuring it is well-structured and engaging.
  • Edit and proofread your post carefully before publishing it on a platform or sharing it with others.
Apply Gen AI to Manage a Real-World Project
Solidify your learning by applying generative AI to manage a real-world project. This hands-on experience will enable you to implement your acquired knowledge and demonstrate your proficiency in using AI for effective project management.
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Show steps
  • Identify a project that you can manage using generative AI tools.
  • Plan and scope out your project, defining clear objectives, deliverables, and timelines.
  • Throughout the project, utilize generative AI tools to assist with tasks such as generating ideas, summarizing documents, and automating workflows.
  • Document your experience and reflect on how generative AI impacted the project's efficiency and outcomes.
Develop a project plan using AI tools
Creating a comprehensive project plan will showcase your ability to apply AI tools in a practical setting.
Browse courses on Project Plan
Show steps
  • Define project scope and objectives.
  • Use AI tools to assist in identifying and analyzing project risks.
  • Use AI tools to assist in resource planning and allocation.
  • Use AI tools to assist in developing a project schedule and budget.
  • Consolidate findings into a comprehensive project plan.

Career center

Learners who complete Generative AI: Unleash Your Project Management Potential will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI: Unleash Your Project Management Potential.
Is considered the definitive guide to project management and includes a chapter on project charters. It provides a comprehensive overview of the entire project management process, including best practices for charter development.
This widely recognized and comprehensive textbook that provides a deep dive into the subject of language processing. It is suitable for both undergraduate and graduate-level courses and is considered a must-read for gaining a strong theoretical and applied understanding of NLP. The authors are leading researchers in the field, and the book is frequently updated to reflect advancements. The latest draft is available online.
Serves as the definitive engineering blueprint for building production applications on multimodal foundation models like Google Gemini, covering long-context prompting, retrieval-augmented generation, agentic tool calling, evaluation pipelines, and latency optimization.
Teaches both developers and business builders how to structure reliable system instructions, few-shot examples, structured JSON outputs, and multimodal chains across Google Gemini and frontier LLM APIs.
Focuses specifically on the role of project charters in project management, providing guidance on how to create charters that can effectively guide projects and ensure stakeholder alignment. It includes case studies and examples to illustrate the practical application of charter principles.
This practical book dives into using transformers, the dominant architecture for many state-of-the-art NLP tasks, with the Hugging Face Transformers library. , It's ideal for data scientists and coders who want to learn how to build and scale models for various NLP applications using this popular library. It covers contemporary topics and is highly relevant for current NLP practice.
Written by experts involved in developing the PMI's Practice Standard, this book offers an in-depth exploration of WBS concepts and their practical application throughout the project lifecycle. It provides a strong foundation for understanding WBS and is valuable for both students and professionals seeking to deepen their knowledge.
Bridges no-code/low-code citizen development and full-stack software engineering, demonstrating how Google Gemini, GitHub Copilot, and natural-language AI assistants accelerate application prototyping, testing, and deployment.
Focuses specifically on the practical application of WBS in real-world projects, offering numerous examples. It's a valuable resource for practitioners looking to improve their WBS creation and utilization skills and gain a deeper understanding through practical scenarios.
Illustrates with visual clarity how modern transformer foundation models represent text and multimodal inputs, perform semantic search, and power intelligent conversational and agentic applications.
Provides a comprehensive overview of project management, with a focus on the systems approach to project management. It covers all aspects of the project management lifecycle, from planning and initiation to execution, monitoring, and closure.
Is considered a comprehensive and practical guide to WBS, offering perspectives on applying it to different types of projects. It provides insights into WBS principles, checklists, and action steps, making it a useful resource for improving project planning and execution.
Provides a comprehensive overview of AI. It valuable resource for anyone who wants to learn more about the technical aspects of AI.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Provides a comprehensive overview of deep learning. It valuable resource for anyone who wants to learn more about the technical aspects of deep learning.
This foundational text offers a comprehensive introduction to statistical methods in NLP. It covers the necessary theory and algorithms for building NLP tools, with a rigorous treatment of mathematical and linguistic foundations. While published in 1999, it remains highly relevant for understanding the statistical underpinnings of many NLP techniques and valuable reference for researchers and students alike.
Focuses specifically on invoking Google Gemini from Python to generate application code, automate data processing workflows, debug scripts, and prototype AI-powered services rapidly.
Comprehensive guide to creating project charters, providing a step-by-step approach that covers all aspects of the process. It is particularly useful for project managers, but also valuable for team members and stakeholders who want to understand the importance of a well-crafted charter.
Is the official guide to the PRINCE2 project management methodology, which includes a section on project charters. It comprehensive and authoritative resource for project managers and includes best practices and templates for charter development.
A widely recognized textbook in project management, this book covers WBS within its comprehensive treatment of project planning and control. It provides a detailed and systematic approach, suitable for undergraduate and graduate students as well as professionals seeking in-depth knowledge.
Serves as a practical introduction to NLP with a strong focus on using the Natural Language Toolkit (NLTK) library in Python. It's excellent for beginners and those who want a hands-on approach to learning NLP concepts through programming examples. It's widely used as a textbook and provides a solid foundation for implementing basic NLP tasks.
Prompt engineering crucial skill for effectively using models like DALL-E. focuses on the techniques and strategies for crafting effective prompts to guide generative AI models to produce desired outputs. It is highly relevant for practical application of DALL-E.
Walks practitioners through architecting low-code and code-first generative AI applications using orchestration frameworks, vector databases, memory buffers, and multimodal foundation model APIs.
Offers a practical, hands-on approach to generative AI using Python and TensorFlow. It covers various generative models and their implementation, including image and text generation. This book is particularly useful for those who want to gain practical experience in building generative models relevant to DALL-E.
This textbook offers a technical perspective on NLP, synthesizing classical methods with contemporary machine learning techniques. , It covers topics from basic textual analysis to structured representations and semantic analysis, making it suitable for advanced undergraduate and graduate courses. It requires a background in programming and college-level mathematics.
Unpacks the underlying neural architecture of generative foundation models, showing technical readers how attention mechanisms, pretraining, and instruction tuning operate beneath the Gemini API.
Architects end-to-end generative AI and machine learning workloads on Google Cloud, showing solutions builders how to operationalize Vertex AI, Gemini models, data pipelines, and low-code AutoML services in production.
Part of a series focusing on the PMBOK Guide, this book specifically addresses project scope management, with a significant focus on creating the WBS. It's useful for understanding the WBS within the context of defining and controlling project scope.
Equips Python and JavaScript engineers to orchestrate Gemini and frontier language models with LangChain and LangGraph, covering retrieval pipelines, conversational memory, tool calling, and production evaluation.
Provides guidance on how to develop project charters in an agile environment. It covers the unique challenges and considerations of agile projects and provides tools and techniques for creating charters that are aligned with agile principles.
Highly readable and engaging guide to project management that includes a section on project charters. It offers a unique perspective on the challenges and opportunities of managing projects, with a focus on the people and processes involved.
Examines how Google's integration of Gemini foundation models into Search and AI Overviews reshapes digital communication, content discovery, brand visibility, and information retrieval strategy.
Provides the enduring mathematical foundations of neural representation learning, sequence modeling, and gradient optimization that underpin modern multimodal AI systems like Google Gemini.
Connects LangChain orchestration directly with Google Cloud Vertex AI and Gemini APIs, walking Python developers through enterprise retrieval-augmented generation, vector indexing, and multi-step autonomous agents.
Takes a practical, code-first approach to deep learning, including applications in NLP, using the fastai library and PyTorch. , It's designed for programmers who want to achieve impressive results in deep learning with less emphasis on the underlying mathematics. It's a great resource for quickly getting hands-on experience with modern deep learning techniques in NLP.
Demystifies visual and low-code machine learning on Google Cloud Vertex AI and BigQuery ML, empowering analysts and citizen developers to assemble predictive and generative AI workflows without heavy custom code.
Focuses on implementing NLP models using the PyTorch deep learning library. It's a practical guide for those who prefer PyTorch and want to learn how to build various NLP applications using this framework. It's suitable for developers and researchers.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Offers an accessible, research-backed framework for non-programmers, educators, and citizen developers collaborating with frontier AI systems like Gemini as creative co-workers and tutors.
Provides a comprehensive overview of agile project management, a popular approach to project management that is based on the principles of iterative development and continuous feedback. It covers all aspects of the agile project management lifecycle, from planning and initiation to execution, monitoring, and closure.
Provides a comprehensive overview of project management in French. It covers all aspects of the project management lifecycle, from planning and initiation to execution, monitoring, and closure.
Comprehensive and accessible guide to project management that covers all aspects of the project lifecycle, including charter development. It is suitable for both novice and experienced project managers, and provides practical advice and tools for creating effective charters.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
Provides a solid introduction to project management concepts, including WBS, for those new to the field. It good starting point for high school or undergraduate students to gain a broad understanding of how WBS fits into the overall project management process.
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This practical book focuses on applying text analysis techniques using Python and machine learning. , It's geared towards data scientists and developers who want to build real-world NLP applications. It covers various aspects of the NLP pipeline and is valuable for its applied approach.
Takes a practical, project-based approach to learning NLP, guiding readers through building various NLP applications using Python libraries. It's focused on applying NLP concepts to solve real-world problems and is suitable for developers and practitioners who want to gain hands-on experience.
Explores the ethical questions that arise from the development and use of AI. It argues that we need to develop a new ethical framework for AI that takes into account the unique challenges posed by this technology.

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