Project Management Using Artificial Intelligence

A professional project management program covering AI in project management, generative AI, predictive analytics, AI-assisted scheduling, risk prediction, with practical templates, exam-focused exercises, simulations, dashboards, case discussions, and applied outputs over approximately 5 training day(s).

Certificate Included

Expert-Led Training

Practical Learning

Enrollment Support

days

5 Days

Language

English / Arabic

Course Summary

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Start Date

Flexible / Always Available

Certificate

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5 Days

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Course Details

Overview

The Project Management Using Artificial Intelligence course is a professional project management training program designed for organizations, project teams, PMOs, and professionals who need practical capability in AI in project management, generative AI, predictive analytics, AI-assisted scheduling, risk prediction, report automation, PMO dashboards, AI ethics and governance.

The program combines structured project management concepts with real project scenarios, templates, checklists, worksheets, planning tools, dashboards, case studies, simulations, and exam-style practice where relevant. Participants learn how to translate project management knowledge into practical deliverables that improve planning quality, execution discipline, risk control, stakeholder communication, value delivery, and project performance.

The course is structured for approximately 5 training day(s), with emphasis on implementation, professional documentation, measurable improvement, practical decision-making, and outputs that can be adapted to PMOs, departments, programs, portfolios, and project teams.

Objectives

Program Objectives

By the end of this course, participants will be able to:

Apply understanding ai concepts in project environments in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply using ai tools across the project life cycle in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply automating repetitive project tasks in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply applying predictive analytics to schedule, cost, and risk in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply integrating ai with project management platforms in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply managing ethical and bias risks in ai-enabled project work in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Produce practical outputs such as a project charter, WBS, schedule, risk register, agile backlog, exam readiness plan, MS Project file, AI-assisted report, dashboard, stakeholder plan, or project action plan according to the course topic.

Target Audience

This program is designed for:

project managers in technology-enabled sectors
program and portfolio managers needing predictive insights
PMO members producing dashboards and advanced reports
digital transformation and technology officers
data analysts and BI specialists working with project data
entrepreneurs and SME owners using low-cost AI tools
business, IT, and engineering graduates seeking future project skills

Competencies

Core Competencies

Understanding AI concepts in project environments

Ability to apply understanding ai concepts in project environments within Project Management Using Artificial Intelligence, using structured methods, business templates, measurable indicators, professional documentation, evidence-based analysis, and implementation plans that improve project performance, governance, delivery quality, stakeholder alignment, and workplace productivity.

Using AI tools across the project life cycle

Ability to apply using ai tools across the project life cycle within Project Management Using Artificial Intelligence, using structured methods, business templates, measurable indicators, professional documentation, evidence-based analysis, and implementation plans that improve project performance, governance, delivery quality, stakeholder alignment, and workplace productivity.

Automating repetitive project tasks

Ability to apply automating repetitive project tasks within Project Management Using Artificial Intelligence, using structured methods, business templates, measurable indicators, professional documentation, evidence-based analysis, and implementation plans that improve project performance, governance, delivery quality, stakeholder alignment, and workplace productivity.

Applying predictive analytics to schedule, cost, and risk

Ability to apply applying predictive analytics to schedule, cost, and risk within Project Management Using Artificial Intelligence, using structured methods, business templates, measurable indicators, professional documentation, evidence-based analysis, and implementation plans that improve project performance, governance, delivery quality, stakeholder alignment, and workplace productivity.

Integrating AI with project management platforms

Ability to apply integrating ai with project management platforms within Project Management Using Artificial Intelligence, using structured methods, business templates, measurable indicators, professional documentation, evidence-based analysis, and implementation plans that improve project performance, governance, delivery quality, stakeholder alignment, and workplace productivity.

Managing ethical and bias risks in AI-enabled project work

Ability to apply managing ethical and bias risks in ai-enabled project work within Project Management Using Artificial Intelligence, using structured methods, business templates, measurable indicators, professional documentation, evidence-based analysis, and implementation plans that improve project performance, governance, delivery quality, stakeholder alignment, and workplace productivity.

Learning Journey

Program Outline

Program structure and applied learning approach

Program Design

The program is designed for approximately 5 training day(s) and combines conceptual review, practical exercises, simulations, case discussions, templates, and applied outputs related to Project Management Using Artificial Intelligence.

Day 1: Artificial intelligence and project management foundations

AI In Project Management

This session develops practical competence in AI in project management as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

Generative AI

This session develops practical competence in generative AI as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

Predictive Analytics

This session develops practical competence in predictive analytics as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

AI Assisted Scheduling

This session develops practical competence in AI-assisted scheduling as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

Risk Prediction

This session develops practical competence in risk prediction as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

Day 2: AI in project planning and scheduling

Generative AI

Predictive Analytics

AI Assisted Scheduling

Risk Prediction

Day 3: AI in risk management and decision-making

Predictive Analytics

AI Assisted Scheduling

Risk Prediction

Report Automation

This session develops practical competence in report automation as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

Day 4: AI in execution, monitoring, and communication

AI Assisted Scheduling

Risk Prediction

Report Automation

PMO Dashboards

This session develops practical competence in PMO dashboards as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

Day 5: Ethics, governance, and future trends

Risk Prediction

Report Automation

PMO Dashboards

AI Ethics And Governance

This session develops practical competence in AI ethics and governance as part of Project Management Using Artificial Intelligence. Participants review relevant concepts, analyze project scenarios, use templates, tools, dashboards, schedules, registers, or exam-style exercises where applicable, and prepare an applied output that supports planning, delivery, risk control, stakeholder communication, value realization, and professional project performance.

AI In Project Management

Generative AI

Enrollment Summary

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Project Management Using Artificial Intelligence

Certificate Included

Expert-Led Training

Practical Learning

Enrollment Support

days

5 Days

Language

English / Arabic

Overview

Program Objectives

By the end of this course, participants will be able to:

Apply understanding ai concepts in project environments in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply using ai tools across the project life cycle in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply automating repetitive project tasks in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply applying predictive analytics to schedule, cost, and risk in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply integrating ai with project management platforms in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Apply managing ethical and bias risks in ai-enabled project work in realistic project management scenarios related to Project Management Using Artificial Intelligence, using structured methods, professional templates, measurable indicators, and implementation-oriented documentation.
Produce practical outputs such as a project charter, WBS, schedule, risk register, agile backlog, exam readiness plan, MS Project file, AI-assisted report, dashboard, stakeholder plan, or project action plan according to the course topic.

Target Audience

This program is designed for:

project managers in technology-enabled sectors
program and portfolio managers needing predictive insights
PMO members producing dashboards and advanced reports
digital transformation and technology officers
data analysts and BI specialists working with project data
entrepreneurs and SME owners using low-cost AI tools
business, IT, and engineering graduates seeking future project skills

Core Competencies

Understanding AI concepts in project environments

Using AI tools across the project life cycle

Automating repetitive project tasks

Applying predictive analytics to schedule, cost, and risk

Integrating AI with project management platforms

Managing ethical and bias risks in AI-enabled project work

Program Outline

Program structure and applied learning approach

Program Design

Day 1: Artificial intelligence and project management foundations

AI In Project Management

Generative AI

Predictive Analytics

AI Assisted Scheduling

Risk Prediction

Day 2: AI in project planning and scheduling

Generative AI

Predictive Analytics

AI Assisted Scheduling

Risk Prediction

Day 3: AI in risk management and decision-making

Predictive Analytics

AI Assisted Scheduling

Risk Prediction

Report Automation

Day 4: AI in execution, monitoring, and communication

AI Assisted Scheduling

Risk Prediction

Report Automation

PMO Dashboards

Day 5: Ethics, governance, and future trends

Risk Prediction

Report Automation

PMO Dashboards

AI Ethics And Governance

AI In Project Management

Generative AI

Project Management Using Artificial Intelligence

Request Schedule & Quotation

Overview

Program Objectives

Target Audience

Core Competencies

Understanding AI concepts in project environments

Using AI tools across the project life cycle

Automating repetitive project tasks

Applying predictive analytics to schedule, cost, and risk

Integrating AI with project management platforms

Managing ethical and bias risks in AI-enabled project work

Program Outline

Program structure and applied learning approach

Day 1: Artificial intelligence and project management foundations

Day 2: AI in project planning and scheduling

Day 3: AI in risk management and decision-making

Day 4: AI in execution, monitoring, and communication

Day 5: Ethics, governance, and future trends

More courses open for booking

Explore Our Monthly Training Schedules

Project Management Using Artificial Intelligence

Request Schedule & Quotation

Overview

Program Objectives

Target Audience

Core Competencies

Understanding AI concepts in project environments

Using AI tools across the project life cycle

Automating repetitive project tasks

Applying predictive analytics to schedule, cost, and risk

Integrating AI with project management platforms

Managing ethical and bias risks in AI-enabled project work

Program Outline

Program structure and applied learning approach

Day 1: Artificial intelligence and project management foundations

Day 2: AI in project planning and scheduling

Day 3: AI in risk management and decision-making

Day 4: AI in execution, monitoring, and communication

Day 5: Ethics, governance, and future trends

More courses open for booking

Explore Our Monthly Training Schedules