Artificial Intelligence and Machine Learning Courses

AI+ Project Management Practitioner - Self-paced

Length 365 days access
Price NZD 1050 exc GST
Inclusions Online exam

Course overview

Book your on demand course

Why study this course

The AI+ Project Management Office self-paced training program is designed for project managers, program leaders, PMO directors, and business professionals looking to integrate Artificial Intelligence into their project delivery practices. This course equips participants across roles such as delivery leads, team leaders, and AI product owners with practical skills and tools to optimise project performance, enhance decision-making, and drive efficiency using AI-powered methodologies.

Throughout the course, learners explore key concepts including AI and machine learning fundamentals, data-driven decision-making, and AI applications across scheduling, budgeting, risk management, and stakeholder engagement. The program emphasises practical application through real-world case studies and hands-on activities, enabling participants to gain valuable experience in applying AI tools, addressing ethical considerations, and improving project outcomes in modern, data-driven environments.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

Through this course, students will be able to:

Learn how to integrate AI into traditional project management to enhance decision-making, efficiency, and execution across all phases of the project lifecycle.
Develop expertise in leveraging AI technologies for cost estimation, risk assessment, quality assurance, and resource allocation to drive successful project outcomes.
Gain proficiency in using AI for dynamic scheduling, budget optimization, and predictive analytics to streamline project planning and delivery.
Explore ethical considerations, challenges, and emerging trends in AI-powered project management, ensuring responsible and forward-thinking practices.
Strengthen their learning by analysing practical case studies that demonstrate AI integration in diverse project management scenarios.

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Project Managers & Aspiring Managers
AI & Tech Enthusiasts
Experienced Project Overseers
Familiarity with Project Management Tools
Business Analysts & Team Leaders
AI Adoption Leaders
Eager Learners

Course subjects

Module 1: Project Management Overview

Introduction to Project Management
Project Management Lifecycle
Advanced Project Management Tasks
Project Management Frameworks
Project Manager’s Roles and Responsibilities

Module 2: Introduction to AI and ML

Introduction to Artificial Intelligence (AI)
Introduction to Machine Learning (ML)
Neural Networks
AI and ML Applications and Trends
Case Studies on AI and ML Projects

Module 3: Data-Driven Decision Making

The Importance of Data in Artificial Intelligence
Data Analysis Techniques
Applying Data Insights to Project Decisions
Tools for Data Visualization and Reporting
Challenges and Best Practices

Module 4: AI-Driven Project Risk Management

AI in Risk Management – An Introduction
AI for Risk Mitigation and Response
AI for Financial and Resource Risk Management
AI in Risk Management: The Future Scope
Case Study: AI-Based Project Risk Management

Module 5: Planning Project Work Breakdown Structuring and Scheduling by AI

Introduction to Work Breakdown Structure (WBS)
AI for WBS Creation
AI in Project Scheduling
AI for Resource-Constrained Scheduling
Case Studies: AI-Based WBS and AI Algorithms for Project Scheduling

Module 6: Effective Project Budgeting Using AI

Introduction to AI in Budgeting
AI for Estimating Costs and Budget Allocation
AI for Budget Optimization
Future of AI in Project Budgeting
Case Study: AI Algorithms for Project Scheduling and Cost Estimation

Module 7: AI for Planning Human Resources

Introduction to AI in Human Resource Planning
AI for Workforce Allocation
AI in Skill Matching and Employee Performance Analysis
The Future of AI in Human Resource Planning
Case Studies: Designing AI-Based Models for HR Planning

Module 8: Stakeholder Management Using AI

Introduction to Stakeholder Management and AI
Identifying and Categorizing Stakeholders Using AI
Stakeholder Conflict Management with AI
Ethics and Future Prospects in AI-Based Stakeholder Management
Case Studies: AI Tools for Stakeholder Management

Module 9: AI-Based Project Monitoring

Introduction to Project Monitoring and AI
AI-Based Tools for Monitoring Project Progress
AI for Risk Monitoring
Case Studies: AI Tools for Project Monitoring

Module 10: Transformative Role of Project Management

Current State of AI in Project Management
Ethical Management Considerations in AI-Based Projects
Technical Challenges in AI Integration

Additional Module: AI Agents for Project Manager Level 1

Understanding AI Agents
How Does an AI Agent Work
Applications and Trends of AI Agents in Project Management
Core Characteristics of AI Agents
Significance of AI Agents in Project Management
Types of AI Agents
Case Study: AI Agents for Agile Project Delivery – Atlassian in Action
Hands-On Activity

Prerequisites

A foundational knowledge of key project management concepts and methodologies.
Experience with common tools and techniques used to manage and track project progress effectively.
Familiarity with AI fundamentals, including machine learning, predictive analytics, and other related technologies.
Practical experience in managing or supervising projects, preferably within a technical or business context.
An openness to learning and implementing AI-driven tools to enhance project management efficiency and decision-making.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.