AI-Powered Project Management
- 9 Sections
- 9 Lessons
- 8 Quizzes
- 35h 30m Duration
Module 1 | Introduction to AI & Project Management
Module 2 | AI for Project Planning & Scheduling
Module 3 | AI for Risk and Issue Management
Module 4 | Enhancing Team Collaboration & Communication with AI
Module 5 | AI for Performance Tracking & Reporting
Module 6 | AI in Agile & Hybrid Project Management
Module 7 | Hands-On with AI-Powered Project Management Tools
Module 8 | Future Trends & Opportunities in AI for Project Managment
Module 9 | Capstone Project
INTRODUCTION
Project Management and Artificial Intelligence (AI) is a cutting-edge topic that combines traditional project management practices with the power of AI to enhance decision-making, efficiency, and outcomes.
Project management has always been about bringing structure, clarity, and focus to complex work. From setting goals and defining scope, to managing risks, costs, and timelines—successful projects depend on the ability to plan, execute, and adapt.
But the way we manage projects is changing. Artificial Intelligence (AI) is no longer a futuristic concept—it’s here, reshaping the way professionals lead teams, make decisions, and deliver results. AI is revolutionizing project management by automating repetitive tasks, predicting risks before they happen, analysing data at scale, and even supporting real-time decision-making.
This course explores the transformative intersection of Artificial Intelligence (AI) and project management. Students will move beyond the hype to gain a practical understanding of how AI tools and methodologies can be applied to automate tasks, enhan ce decision-making, mitigate risks, and ultimately drive successful project delivery. The curriculum covers AI fundamentals, strategic implementation across the project lifecycle, ethical considerations, and hands-on experience with leading AI-powered PM software.
COURSE OBJECTIVES
By the end of the course, you will:
- Understand the basics of AI and its applications in project management
- Learn to integrate AI tools for planning, monitoring, and decision-making
- Explore AI’s role in risk management, scheduling, resource allocation and communication
- Gain hands-on experience with AI-powered project management tools.
Target Audience:
- Project Managers (all levels)
- Program and Portfolio Managers
- Business Analysts
- Team Leads and Scrum Masters
- IT Professionals and Developers involved in project delivery
- Students and career-changers interested in the future of PM
Prerequisites:
- A foundational understanding of project management principles (e.g., PMBOK, Agile, Scrum).
- No advanced technical or coding knowledge is required.
COURSE STRUCTURE
Module 1
Introduction to AI and Project Management
- Setting the Stage
- Understanding Artificial Intelligence
- Where AI Meets Project Management
- Benefits & Challenges
- Practical Applications & Tools
- Case Studies & Real-World Examples
Module 2
AI for Project Planning & Scheduling
- How AI Automates Project Planning
- AI in Resource Allocation and Optimization
- Tools for AI-Powered Scheduling
- Case Study: AI-Based Project Planning in Action
Module 3
AI for Risk and Issue Management
- Using Predictive Analytics to Identify Risks
- AI for Monitoring Project Health and Identifying Bottlenecks
- AI-Powered Mitigation Planning
- Risk Analysis using AI predictions
- Tools for Risk Management
Module 4
Enhancing Team Collaboration and Communication with AI
- AI for Task Assignments and Follow-Ups
- AI Chatbots and Virtual Assistants in Project Management
- Improving Stakeholder Engagement with AI Insights
- Tools Overview: Slack, Microsoft Teams, Trello and Their AI Features
Module 5
AI for Performance Tracking and Reporting
- Real-Time Project Monitoring with AI Dashboards
- Automated Progress Reports and Predictive Forecasting
- KPI Tracking Using AI Tools
- Case Study: AI Driven Insights for Better Decision-Making
Module 6
AI in Agile and Hybrid Project Management
- AI for Sprint Planning and Backlog Management
- Using AI to Estimate Velocity and Burndown Rates
- Enhancing Agile Retrospectives with Data Insights
- AI Tools for Agile Teams
Module 7
Hands-On with AI-Powered Project Management Tools
- Explore Tools like Asana, Click-up and Notion with AI Features
- Set up and Automate Tasks Using AI
- Customizing AI Models for Your Organizations’ Needs
- Troubleshooting AI Tools Integration Challenges
Module 8
Future Trends and Opportunities in AI for Project Management
- AI and Machine Learning Trends in Project Management
- Emerging AI Tools and Technologies
- Preparing for the Future: Upskilling for AI Driven Project Roles
- How AI Could Transform Your Projects
- Future-Ready Project Manager Skills Roadmap
Module 9
Capstone Project
- Objective: Participants will apply AI tools and techniques to a real-world or simulated project
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