This program aims to provide a practical, outcome-based framework for project managers on how to use AI tools in their day-to-day work. You will learn how to write prompts for AI, create AI agents, and apply AI to tasks like planning, scheduling, Governance, Monitoring, and risk management. This program also covers developing simple code-free chatbots for business tasks and using AI for reports and communication. Through practical examples, you will see how AI can make project management easier and more effective.
Getting Started
Team Academy LMS Access
OpenAI - ChatGPT 4 Pro Access
Prompt Library Access
Custom GPT Links
Persona Access
Create an account with PMI: http://Pmi.org
Module 1: Understand & Design the Gen AI – PMP Framework
This module covers integrating AI into project management tasks by exploring various AI use cases within the project management framework. It differentiates between human-led tasks, augmented AI, and full AI automation in project management processes. Peer discussions facilitate sharing objectives and setting expectations for AI systems in project management applications. Learn the different use cases of AI in project management tasks.
Map Gen AI capabilities with project management framework.
Critically differentiate between the use cases of Humans with AI, Augmented AI, and AI Automation for project management processes.
Discuss with your peers about your objectives and expectations of AI systems in project management applications.
Module 2: Prompt Engineering for Project Management
Understand how project managers can use specific questions and commands to enhance decision-making and task efficiency. Explore different kinds of prompts for various uses, from project selection to role-specific guidance and data analysis. Learn how to create effective prompts, use external information, and automate project processes using advanced strategies.
2.1 Introduction to Prompt Engineering for Project Management Professionals
2.2 Different Types of Prompting Scenarios
You will learn how to use specific prompt types, such as descriptive and instructional prompts, to address key project management needs like project selection, complex task augmentation, and fostering innovation. By applying these prompts, you will enhance task efficiency, improve decision-making, and align project goals with strategic objectives.
2.3 Advanced Gen AI Prompting Techniques for Project Management
You will explore advanced prompting techniques, including variable prompting, persona integration, and chain-of-thought automation, to streamline project workflows and optimize outcomes. These strategies will enable you to automate processes, leverage external knowledge sources, and create effective AI-driven solutions for project management challenges.
2.3.1 Variable Prompting for Concise Responses
2.3.2 Mixing Variables & Personas
2.3.3 Knowledge Source Prompting
2.3.4 Chain-of-Thought Prompts for Project Process Automation
2.3.5 Reasoners & Agents
Module 3: Gen AI for Project Management Lifecycle
This module focuses on applying Generative AI throughout the project management lifecycle. Topics include conducting feasibility studies using AI, utilizing AI-driven project portfolio prioritization, and developing AI-driven planning frameworks for cost, schedule, and scope estimation. It also involves creating AI bots for project documentation and enhancing stakeholder engagement through automated communication and analysis.
3.1 Conduct feasibility studies and analysis with Gen AI.
3.2 Utilize AI-driven project portfolio prioritization.
3.3 Define augmented virtual agents by mapping with Project Management Plan.
3.4 Develop a planning framework using Gen AI for cost, schedule, and scope estimation.
3.5 Foster alternative approaches based on project specifications.
3.6 Engage stakeholders with automated communication and analysis using AI.
3.7 Develop system instructions for project controls.
3.8 Create AI bots for project documentation.
3.9 Perform contextual mapping between instructions and organizational process assets.
Module 4: AI for Project Governance, Prediction, and Analysis
This module explores leveraging AI for advanced project governance and predictive analysis. It includes using AI for cost and schedule predictions, performing qualitative and quantitative risk analyses, and implementing advanced monitoring and controlling techniques such as stakeholder behavioral and sentiment analysis. Resource optimization, delay analysis, and simplifying compliance using AI bots are also covered.
4.1 Use Gen AI for advanced cost and schedule predictions.
4.2 Apply Gen AI for qualitative and quantitative risk analysis.
4.3 Implement Gen AI for advanced project monitoring and controlling, including stakeholder behavioral and sentiment analysis.
4.4 Conduct resource analysis, optimization, and forecasting with AI.
4.5 Perform delay analysis and optimization using AI tools.
4.6 Analyze overall project numbers in financial, procurement, and legal aspects using AI.
4.7 Develop AI bots for governance and documentation.
4.8 Simplify compliance and rules using AI bots.
Module 5: Gen AI Toolkits for Project Managers
This module introduces various AI toolkits that streamline project management processes. It covers automating the preparation of project documents to align with organizational templates, analyzing large-scale risk data and sentiments, and designing impactful presentations with AI assistance. Creating conversational AI bots for automated reinforcement and exploring AI-based Enterprise Project Portfolio Management (EPPM) systems are also included.
5.1 Automate project management document preparation and ensure correctness as per organizational templates.
5.2 Conduct large-scale risk data analysis and sentiment analysis using AI.
5.3 Design effective project management presentations with AI assistance.
5.4 Create conversational AI bots for automated reinforcement.
5.5 Explore AI-based Enterprise Project Portfolio Management (EPPM) systems.
Case Study: AI in Project & Risk Management
The case study applies learning to real-world scenarios by designing a project framework incorporating AI elements. It involves developing a project management plan using synthetic persona, assessing risks on large-scale data sets with AI, and forecasting project constraints using machine learning models. Implementing AI tools for KPI governance, optimizing resource utilization, managing stakeholder communication through AI platforms, performing safety and hazard analyses using AI vision capabilities, and tailoring AI solutions for specific project management challenges are key components of this practical application.
How to design a project framework incorporating AI elements.
How to develop a project management plan based on synthetic personas.
Assess and identify risks on large-scale data sets and events using AI.
Forecast project constraints based on machine learning models.
How to implement project KPI governance with AI tools.
How to optimize resource utilization using AI-driven strategies.
Manage stakeholder governance using AI-based communication platforms.
Perform safety and hazard analysis using AI vision capabilities.
Tailor AI to work for specific project management tasks and challenges.
Tools Covered
EPPM - Prompt Library
EPPM - Persona Library
Gen AI Tool Kits - Custom GPTs
Enterprise EPPM With Gen AI Capabilities
Gen AI Project Management with Secure Microsoft Applications
Presentation Tools Kits - Prezi, Tome & Sway
Document Analysis Took Kits - Humata, Teams Web App
No Code Gen AI Chat Bots with Open AI Platform
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