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TIA Education, Andrew Ramdayal

Unlock the full potential of AI in your project management career with my course, "Project Manager's Practical Guide to AI." This course is a game-changer for anyone looking to simplify and supercharge their project management workflows. Learn how to use cutting-edge AI tools like ChatGPT to create all the essential documents, plans, and registers you need from the PMBOK and Agile Practice Guide in a fraction of the time. From project charters to risk registers and agile backlogs, AI will help you automate the tedious work, allowing you to focus on leading your team and driving success.

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Unlock the full potential of AI in your project management career with my course, "Project Manager's Practical Guide to AI." This course is a game-changer for anyone looking to simplify and supercharge their project management workflows. Learn how to use cutting-edge AI tools like ChatGPT to create all the essential documents, plans, and registers you need from the PMBOK and Agile Practice Guide in a fraction of the time. From project charters to risk registers and agile backlogs, AI will help you automate the tedious work, allowing you to focus on leading your team and driving success.

Not only does the course dive deep into practical applications, but it also includes a comprehensive section on the fundamentals of AI, breaking down key concepts like large language models (LLMs) in a way that’s easy to understand and immediately applicable. Whether you're looking to enhance your project management skills or earn 8 PDUs for your

Key highlights include:

  • Learn to create project plans, documents, and registers using ChatGPT and other AI tools.

  • Automate project management workflows to save time and boost efficiency.

  • Gain essential AI knowledge, including large language models (LLMs).

  • Manage agile projects with AI-driven insights.

  • Earn 8 PDUs toward

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What's inside

Learning objectives

  • Ai-powered project planning and scheduling
  • Automating routine task
  • Ai-driven risk and resource management
  • Data-driven decision making

Syllabus

Introduction
About Me
Course Layout
Resources Used to create this course
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the use of AI tools like ChatGPT to automate project management tasks, potentially freeing up time for strategic activities
Covers the fundamentals of AI, including large language models, which can help project managers understand the technology they are using
Offers guidance on using AI for various project management aspects, such as planning, decision-making, communication, and risk management
Includes a section on the limitations and risks of using AI, which is important for responsible and ethical implementation
Discusses several AI tools, including OpenAI's ChatGPT, Google's Gemini, and Microsoft's Copilot, which may require subscriptions or accounts
Covers AI and regulations, which is an evolving area, so learners should ensure they stay up-to-date with the latest legal requirements

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Reviews summary

Practical ai for project managers

According to students, this course is a practical guide for project managers looking to integrate AI tools into their workflow. Many find it particularly useful for leveraging tools like ChatGPT to automate tedious work like creating project documents and registers. The course is also valued by learners seeking to earn PDUs. While it covers AI fundamentals, some felt this section was introductory. The focus is heavily on ChatGPT, and a few learners wished for more examples with other tools or a deeper dive into more advanced AI applications in project management.
Heavily focused on ChatGPT examples
"Almost all examples use ChatGPT, which is fine, but other tools get less attention."
"Learned a lot about using ChatGPT for PM, maybe too much focus?"
"It's a ChatGPT course for PMs, really."
"Would have liked to see more demos with other AI tools mentioned."
Covers basic AI concepts clearly
"The section on LLMs was a good introduction."
"Explained AI basics simply enough for a beginner."
"Wish the AI concepts went a little deeper, it felt very introductory."
"Good quick overview of what AI is, but not much beyond basics."
Valuable for earning required PDUs
"Needed PDUs and this course provided them while teaching me a useful skill."
"The 8 PDUs are a great bonus for this practical course."
"Satisfied the PDU requirement with relevant learning."
"Got my needed PDUs and learned AI for PM - double win."
Learn to apply AI to PM tasks effectively
"I can immediately use ChatGPT to generate project charters and risk registers..."
"Great course showing how AI simplifies creating PM documents."
"Helped me automate some really tedious project management tasks."
"Applying the AI methods shown is very practical for my daily work."
Primarily basic use cases covered
"Covers the basics well, but I was hoping for more advanced AI integration strategies."
"Good start, but felt it only scratched the surface of AI in complex projects."
"Mostly simple prompts for generating documents."
"Could use more examples beyond basic charter/risk generation."

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 Complete Project Manager's Practical Guide to Using AI 8 PDU with these activities:
Review Project Management Fundamentals
Reviewing project management fundamentals will provide a solid foundation for understanding how AI can be applied to enhance project management processes.
Show steps
  • Review the PMBOK Guide's key knowledge areas.
  • Study Agile principles and methodologies.
  • Take a practice quiz on project management basics.
Review 'AI for Project Managers' by Paul R. Williams
Reading this book will provide a deeper understanding of AI applications in project management, complementing the course material.
Show steps
  • Read the book cover to cover.
  • Take notes on key concepts and examples.
  • Identify areas where AI can be applied to your projects.
Prompt Engineering Exercises
Practicing prompt engineering will improve your ability to effectively communicate with AI tools and generate desired outputs.
Show steps
  • Experiment with different prompts for generating project charters.
  • Practice creating prompts for risk identification and analysis.
  • Refine prompts based on the quality of the AI-generated output.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Blog Post: AI in Project Management
Creating a blog post will help solidify your understanding of AI in project management and allow you to share your knowledge with others.
Show steps
  • Research current trends and applications of AI in project management.
  • Outline the key topics and structure of the blog post.
  • Write the blog post, providing examples and insights.
  • Edit and proofread the blog post before publishing.
AI-Powered Project Plan Generator
Starting a project to create an AI-powered project plan generator will allow you to apply the concepts learned in the course and develop a practical tool.
Show steps
  • Define the scope and features of the project plan generator.
  • Select an appropriate AI tool or platform (e.g., ChatGPT API).
  • Develop the AI model to generate project plans based on user input.
  • Test and refine the generator with different project scenarios.
Review 'Working with AI' by Thomas H. Davenport and Nitin Mittal
Reading this book will provide a broader perspective on AI implementation in business, enhancing your understanding of its potential in project management.
Show steps
  • Read the book and highlight relevant sections.
  • Reflect on how the concepts apply to project management.
  • Discuss the book's insights with peers or colleagues.
AI Risk Assessment Report Template
Creating a risk assessment report template will allow you to apply AI to identify and mitigate potential risks in project management.
Show steps
  • Research common risks associated with AI implementation in projects.
  • Design a template that incorporates AI-driven risk identification.
  • Develop a process for using AI to analyze and prioritize risks.
  • Test the template with real-world project scenarios.

Career center

Learners who complete Complete Project Manager's Practical Guide to Using AI 8 PDU will develop knowledge and skills that may be useful to these careers:
Project Manager
A project manager is responsible for planning, executing, and closing projects. This course enhances those skills by integrating artificial intelligence. Project managers can leverage AI tools like ChatGPT, as taught in the course, to automate the creation of essential project documents such as project charters, risk registers, and scope statements. This saves time and increases efficiency, freeing the project manager to focus on leading the team and strategic decision making. The course provides project managers insights into AI fundamentals and its practical applications, making them adept at using AI-driven tools. If you're looking to streamline project management workflows and incorporate AI into your daily tasks, this course is an excellent choice.
IT Project Manager
An IT project manager is responsible for planning and overseeing information technology projects. IT project managers can apply this course to integrate AI tools in project management. This course provides IT project managers with insight into how to automate essential tasks. The course's practical application of AI tools like ChatGPT for project documentation and planning can increase efficiency. The sections on securing AI systems and AI regulations is particularly helpful.
Project Coordinator
Project coordinators support project managers in administrative and coordination tasks. This course helps project coordinators by enhancing their ability to use AI tools in project management workflows. Project coordinators can use the AI teachings from the course to automate creating project documents and registers. The course's focus on practical applications like creating scope statements is relevant to the tasks of a project coordinator. The course provides a foundation in AI concepts and their applications in project management, making project coordinators more efficient in their roles.
Management Consultant
Management consultants advise organizations on improving their performance and efficiency. This course gives management consultants insight into how AI tools can improve project management. A consultant with this background can offer solutions for AI integration and automation, potentially increasing efficiency and effectiveness. The course provides a deep understanding of AI concepts and their practical application in project management. The sections on implementing AI in a Company and AI Tuning may be especially helpful to a management consultant.
Product Manager
A product manager guides the vision, strategy, and roadmap for a product. This course provides product managers with insight into AI tools that are useful for project processes. Product managers could implement these AI tools into product design and development. The concepts are applicable to diverse teams, including marketing, sales, engineering, and support. The sections on integrating AI into project management, implementing AI in a company, and agile projects may be useful to product managers.
Program Manager
Program managers oversee multiple related projects to achieve strategic goals. This course may be useful for program managers because it provides insights into using AI to manage and coordinate complex projects. A program manager can use the AI skills learned in this course for planning, risk management, and communication across multiple projects. The course content on automating routine tasks and data-driven decision-making aligns with the responsibilities of a program manager. The section on project communications using AI may be of particular interest to program managers.
Scrum Master
A scrum master facilitates the use of the scrum framework, removing impediments for the team. This course may be helpful for a scrum master who wishes to use AI to facilitate scrum processes. The course provides insights into using AI for agile projects, including sprint backlog creation. The course content on managing agile quality and resource allocation aligns with the duties of a scrum master. The sections on writing user stories and agile schedule creation are likely to be of particular interest.
Project Management Officer
A project management officer (PMO) standardizes project management practices within an organization. This course may be useful for a PMO by helping the PMO integrate AI tools into project management. PMOs can use this knowledge to streamline processes and introduce AI-driven improvements across various departments. The course's focus on automating routine tasks and using AI for planning is relevant to the responsibilities of a PMO. The sections on implementing AI in a company and building an AI environment may be useful for the PMO.
Agile Coach
An agile coach guides teams in adopting and improving agile methodologies. This course may be useful for an agile coach because it covers the use of AI in agile project management. Agile coaches who have taken this course can show teams how to use AI for tasks such as backlog creation, sprint management, and creating user stories. The course's focus on AI-driven insights for agile projects can help agile coaches to optimize team performance. The section on agile schedule creation should be of particular interest.
Solutions Architect
Solutions architects design and oversee the implementation of technology solutions. This course provides insights into how AI tools can be used in project management. A solutions architect can then design systems that integrate AI tools, which could improve the efficiency of project development. This course's coverage of AI fundamentals and its application in project management is relevant to solution architecture. The sections on securing AI systems and building an AI environment are likely to be useful to a solutions architect.
Business Analyst
A business analyst identifies business needs and determines solutions to business problems. This course may be useful to business analysts who want to streamline or improve processes with AI. A business analyst can use the AI knowledge gained from this course to automate the creation of project-related documents. The course's focus on using AI tools like ChatGPT for documentation and planning aligns with the tasks of a business analyst. The business analyst may find the sections on gathering requirements, scope management, and stakeholder registers to be particularly useful.
Portfolio Manager
Portfolio managers are responsible for managing a collection of projects and programs to align with organizational strategy. This course may be useful for portfolio managers because it explores the integration of AI in project management. Portfolio managers can use the course's lessons on AI-driven risk management and resource allocation. The program covers the use of large language models for various processes. The sections on cost management and risk management may be particularly useful for portfolio managers.
Data Scientist
Data scientists analyze data to extract meaningful insights and inform decision-making. This course may be useful for a data scientist because it provides context for how data and AI are used in project management. Data scientists can use this understanding to tailor machine learning algorithms and improve the effectiveness of data-driven decisions. The sections on data-driven decision-making and predictive AI can be helpful for a data scientist.
Change Manager
A change manager focuses on managing organizational change initiatives. This course can be useful for a change manager because it provides a foundation for understanding how AI can change how projects are handled. A change manager may find it useful to have insight into integrating AI into project management, planning a project with AI, and use of custom AI. Change managers who understand AI will be better equipped to introduce it to project management teams.
Chief Technology Officer
A chief technology officer (CTO) oversees the technological direction of a company. This course may be useful to a CTO because the CTO can then better understand the implications of AI for project management. The course's focus on integrating AI into project management aligns with the responsibilities of a CTO. The sections on implementing AI in a company, securing AI systems, and AI regulations are likely to be of interest to a CTO.

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 Complete Project Manager's Practical Guide to Using AI 8 PDU.
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.
Classic text on project management that provides a comprehensive overview of the field. It great resource for anyone who wants to learn about project management or improve their skills.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Foundational text providing a comprehensive overview of project management principles and practices. It is essential for gaining a broad understanding of the topic and is widely used as a reference and textbook in academic and professional settings. The seventh edition reflects current trends and approaches in project management, including adaptive and hybrid methodologies. It is highly valuable for both beginners and experienced professionals looking to solidify their understanding and as a reference for best practices.
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.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
A definitive guide to financial risk management, this handbook provides in-depth analysis of methods for measuring and managing risk in financial institutions. It covers various types of financial risk and crucial reference for professionals and advanced students in finance.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
This influential book challenges conventional notions of risk and probability by focusing on the impact of rare and unpredictable events ("black swans"). It argues that these events have a disproportionate impact on the world and that we are often ill-equipped to deal with them. It's a provocative read that encourages a different way of thinking about risk and uncertainty.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Provides a foundational understanding of risk management and insurance principles, making it ideal for those new to the topic or seeking a broad overview. It covers basic concepts, traditional insurance, and introductory enterprise risk management, serving as a valuable textbook for undergraduate programs and a solid starting point for professionals.
Practical guide to project management that is full of insights and advice. It great resource for anyone who wants to learn how to manage projects more effectively.
Practical guide to agile project management that is full of tips and advice. It great resource for anyone who wants to learn how to use agile methods to improve their project management skills.
Comprehensive guide to project management that provides answers to common questions. It great resource for anyone who wants to learn more about project management or solve specific problems.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
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.
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.
Offers a comprehensive overview of LLMs, covering their theoretical foundations, practical applications, and future directions.
Authors David Wicks and Robert Jones provide a detailed overview of stakeholder identification, analysis, and strategies for managing and engaging stakeholders throughout a project or program.
Focused specifically on operational risk in the financial services industry, this book provides a detailed guide to managing this critical area. It covers frameworks, techniques, and best practices for identifying, assessing, and mitigating operational risks. It's essential for professionals working in risk management within banks and financial institutions.
Aligned with international standards like ISO 31000 and the COSO ERM Framework, this book offers a comprehensive introduction to enterprise risk management. It covers identification, analysis, and treatment of various risks, including emerging trends. It's suitable for students and risk professionals seeking a thorough grounding in ERM principles and practices.
Considered a comprehensive guide and often referred to as a 'bible' in project management, this book offers a detailed systems approach to planning, scheduling, and controlling projects. It is suitable for both students and professionals seeking to deepen their knowledge. The book includes real-world case studies and covers a broad range of topics, making it a strong reference for various project scenarios.
This textbook provides a comprehensive treatment of financial risk management, covering market, credit, and operational risks within financial institutions. It's widely used in undergraduate and graduate finance programs and solid resource for understanding the principles and practices of financial risk management.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Offers a critical look at common risk management practices and argues for more quantitative approaches. It challenges conventional wisdom and provides insights into improving risk assessment and decision-making. It's valuable for both students and professionals looking to refine their risk management methodologies.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Another foundational book on Scrum, this guide by co-creator Ken Schwaber delves into applying Scrum for agile project management. It provides practical examples and is considered a must-read for those adopting agile approaches. is particularly useful for understanding how to implement Scrum practices in real-world projects.
Provides real-world examples and case studies of how organizations have implemented enterprise risk management. It offers practical insights into the challenges and successes of ERM implementation, making it valuable for those involved in establishing or improving an ERM program.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
Explores the art and science of prediction in various fields, from weather forecasting to finance. It examines why some predictions succeed while many fail, emphasizing the importance of probability and understanding uncertainty. It offers valuable lessons for risk managers who rely on forecasting and data analysis.
This handbook provides a comprehensive guide to the interconnected areas of governance, risk management, and compliance (GRC). It covers frameworks, best practices, and practical guidance for implementing an integrated GRC program. It's a valuable reference for professionals responsible for GRC in their organizations.
Key resource for understanding estimating and planning in agile environments. It provides practical techniques for creating realistic plans and managing scope in iterative projects. It is essential reading for those working with or transitioning to agile methodologies.
Delves into practical issues and presents case studies related to the execution of Enterprise Risk Management programs. It provides insights from senior risk management professionals and explores how organizations measure the impact of ERM. It is particularly useful for understanding real-world challenges and best practices in ERM implementation.
Provides a comprehensive overview of Agile project management with a focus on using Kanban, a popular Agile framework. It covers the principles, practices, and tools of Kanban, and how to apply them to real-world projects.
This seminal book by R. Edward Freeman, Jeffrey S. Harrison, Andrew C. Wicks, Bidhan L. Parmar, and Simone de Colle offers a comprehensive overview of stakeholder theory and its application in various fields.
Focused specifically on risk management within the context of projects, this book provides practical guidance and techniques for identifying, analyzing, and responding to project risks. It's a valuable resource for project managers and teams, often used as a reference or textbook in project management programs.

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