Artificial Intelligence and Machine Learning Courses

AI+ Project Manager Level 1

  • Length 5 days
  • Inclusions Exam Voucher
Course overview
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Why study this course

The AI+ Project Manager Level 1 course empowers professionals to integrate AI into project management, optimising processes like resource allocation, scheduling, budgeting, and risk management. Participants will delve into machine learning, predictive analytics, and neural networks, applying them to real-world scenarios. The program also covers ethical considerations, data privacy, and AI implementation challenges, offering hands-on experience to enhance project outcomes and decision-making.

Exam and certification

This course also prepares students for the AI+ Project Manager Level 1 certification, and an exam voucher is included with the course.

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

This course offers a combination of online labs, projects, and case studies.

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What you’ll learn

This course is designed to teach participants how to:

  • Acquire in-demand skills in AI-integrated project management

  • Open new career opportunities and enhance professional value

  • Master AI tools and techniques to optimise project workflows


AI CERTs Authorized Training Partner Platinum logo May 2025

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 an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.


Who is the course for?

This course is intended for:

  • Program and Project Managers

  • AI Product Owners

  • Delivery Leads

  • PMO Directors

  • Heads of IT or Engineering


Course subjects

Module 1: Introduction to Project Management

  • Project Management Overview

  • Project Management Lifecycle

  • Advanced Project Management Tasks

  • Project Management Frameworks

  • Project Manager’s Roles and Responsibilities

Module 2: Introduction to AI and Machine Learning

  • 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: Project Cost and Quality Management Using AI

  • Introduction to Project Cost Management by AI

  • AI-Driven Cost Estimation and Forecasting

  • AI-Powered Budgeting and Resource Allocation

  • AI in Quality Management

Module 4: AI-Driven Project Risk Management

  • AI in Risk Management - An Introduction

  • AI for Risk Mitigation and Response

  • AI-Driven Risk Response Planning

  • AI for Financial and Resource Risk Management

  • AI in Risk Management: The Future Scope

  • Case Study – AI-based Project Risk Management

Module 5: AI for Project Scheduling and Work Breakdown Structure (WBS)

  • 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 Optimisation

  • Future of AI in Project Budgeting

  • Case Study: AI Algorithms for Project Scheduling, AI-Based Model for Estimating Costs and Budget Allocation

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 Categorising Stakeholders Using AI

  • Stakeholder Conflicts 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 AI in Human Resource Planning

  • 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 Project

  • Technical Challenges in AI Integration

Additional Module: AI Agents for Project Managers

  • 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

  • Hands-On Activity


Prerequisites

  • Basic project management knowledge

  • Familiarity with tools

  • Understanding of AI concepts

  • Project management experience

  • Eagerness to apply AI tools


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.


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