AI and Project Management Course Outline

AI and Project Management

Session One: Course Overview

Course Overview

Learning Objectives

Pre-Assignment

Pre-Course Assessment

Session Two: Understanding AI in Project Management

The Role of AI

Using AI to Solve Challenges

Session Three: AI for Planning and Scheduling

How AI Can Help

AI-Powered Scheduling

Session Four: AI and Risk Management

Predictive Analysis and Early Warnings

Risk Scenario Analysis

Session Five: Communications and Collaboration

AI-Powered Chatbots and Virtual Assistants

Enhancing Team Collaboration

Using Chatbots and Virtual Assistants

Session Six: Data Analysis and Decision-Making

Data Processing and Insights

AI-Driven Decision Support Systems

Real Time Data Challenge

Session Seven: AI and Task Automation

Automation and Workflow Optimization

Session Eight: Understanding AI Limitations

Lack of Human Intuition and Judgment

Ethical Implications and Biases in AI Algorithms

Human Decision-Making

Session Nine: Addressing Data Challenges

AI Requires Large Volumes of Quality Data

Challenges with Data Privacy and Security

Limitations in Handling Unexpected Changes

Integration Challenges in AI

Impact of Data Quality on AI

Session Ten: Case Studies and Real-World Examples

Successfully Implementing AI

Session Eleven: Future of AI in Project Management

Emerging AI Trends in Project Management

Preparing for an AI-Driven Future

Session Twelve: Using AI Tools

Introduction to AI in Project Management

AI Tool Applications

Personal Action Plan

Course Summary

Recommended Reading List

Post-Course Assessment

Pre- and Post- Course Assessment Answer Keys

Pre-Course Assessment

Post-Course Assessment

Assignment Answer Key

Session Two: Understanding AI in Project Management

Session Three: AI for Planning and Scheduling

Session Four: AI and Risk Management

Session Five: Communications and Collaboration

Session Six: Data Analysis and Decision-Making

Session Seven: AI and Task Automation

Session Eight: Understanding AI Limitations

Session Nine: Addressing Data Challenges

Session Ten: Case Studies and Real-World Examples

Session Eleven: Future of AI in Project Management

Session Twelve: Using AI Tools

Handouts

Project Meeting Notes

Potential AI Generated Takeaways

Project Report (Using AI Tools)

Potential AI Generated Summary

Project Meeting Transcript

Potential AI Generated Summary 2

AI Tool Applications: ChatGPT

Potential ChatGPT Report

AI Tool Applications: Asana AI

Project Report 2

Potential Asana AI Insights