- Course overview
- Course details
- Prerequisites
Course overview
About this course
In this course, you will discover how AI enhances planning, scheduling, task prioritization, and progress tracking to reduce manual effort and improve project consistency. Use data-driven insights for timeline forecasting, workload balancing, capacity planning, and early risk detection to keep projects on track. Build skills to lead teams using AI-enabled workflows, including automated reporting, real-time insights, and improved stakeholder alignment.
Audience profile
- Aspiring Project Managers
- Early-Career Project Professionals
- Business and Technical Professionals
- Team Leads and Supervisors
- Professionals Transitioning into AI-Supported Roles
Course details
Module 1: Project Management Overview
Module 2: Introduction to AI and ML
Module 3: Data Driven Decision Making
Module 4: AI-Driven Project Risk Management
Module 5: Planning Project Work Breakdown and Structuring and Project Scheduling by AI
Module 6: Effective Project Budgeting Using AI
Module 7: AI for Planning Human Resources
Module 8: Stakeholder Management Using AI
Module 9: AI-based Project Monitoring
Module 10: Transformative Role of Project Management
Additional Module: AI Agents for Project Management Practitioner
Prerequisites
- Basic understanding of project management principles and processes.
- Familiarity with project management tools and techniques.
- General knowledge of artificial intelligence concepts (machine learning, predictive analytics, etc.).
- Experience in managing or overseeing projects, preferably in a technical or business context.
- Willingness to learn and apply AI-based tools to enhance project management efficiency.
Enquiry
Course : AI+ Project Management Practitioner
Enquiry
request for : AI+ Project Management Practitioner
