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Quest Training

Managing Projects by Using AI Tools Training Course

This course explores how artificial intelligence (AI) tools can improve project management across initiation, planning, execution, monitoring, and closure.

DPM · Digital & AI-Enabled Project ManagementAll Levels#3058ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Project Management & PMOCategories:Digital & AI-Enabled Project Management

Course Overview

This course explores how artificial intelligence (AI) tools can improve project management across initiation, planning, execution, monitoring, and closure. Participants learn how to use AI-assisted applications to streamline project workflows, improve decision-making, automate routine tasks, and maintain better control over scope, schedules, budgets, resources, and project risks. The programme covers practical applications of generative AI, predictive analytics, intelligent automation, and AI-powered collaboration tools. Participants examine how these technologies can support project planning, task allocation, schedule forecasting, resource optimization, risk identification, stakeholder communication, progress tracking, and performance reporting. The course also addresses the responsible use of AI, including data quality, confidentiality, output validation, and human oversight. Through practical exercises and project-based scenarios, participants develop the skills to integrate AI tools into everyday project management activities. Emphasis is placed on selecting appropriate tools, developing effective prompts, interpreting AI-generated insights, and establishing workflows that improve productivity, accountability, and project delivery without replacing professional judgment.

Learning Objectives

  • Explain the role of AI technologies in modern project management.
  • Identify suitable AI tools for project planning, scheduling, communication, risk management, and reporting.
  • Use generative AI to develop project charters, work breakdown structures, project plans, and supporting documentation.
  • Apply AI-assisted techniques to estimate timelines, allocate resources, and monitor project progress.
  • Use predictive analytics to identify potential delays, budget deviations, and emerging project risks.
  • Automate routine project management tasks, including meeting summaries, action tracking, and status reporting.
  • Improve stakeholder communication and collaboration through AI-supported information management.
  • Evaluate AI-generated recommendations for accuracy, relevance, bias, and reliability.
  • Apply appropriate data governance, confidentiality, and security practices when using AI tools.
  • Develop an actionable plan for integrating AI into project management workflows and measuring its benefits.

Who Should Attend

Project managers and project coordinators across all industries. Programme managers and portfolio management professionals. Project Management Office (PMO) managers and specialists. Team leaders and department managers responsible for project delivery. Planning, scheduling, and project control professionals. Risk managers and professionals involved in project assurance. Business analysts and process improvement specialists. Consultants supporting project planning, implementation, and transformation initiatives. Digital transformation professionals introducing AI into organizational workflows. Professionals seeking to improve project management productivity through AI-enabled tools.

Learning Outcomes

  • Identify AI technologies and applications relevant to different stages of the project lifecycle.
  • Develop project documentation and structured plans using AI-assisted workflows.
  • Organize project activities, milestones, dependencies, and responsibilities more effectively.
  • Analyse project schedules and progress data to identify potential delays and delivery constraints.
  • Use AI-assisted methods to evaluate resource requirements, budget performance, and project risks.
  • Generate clear project updates, meeting summaries, action logs, and stakeholder communications.
  • Apply AI tools to support decision-making, scenario analysis, and corrective action planning.
  • Validate AI-generated content and recommendations against project data and organizational requirements.
  • Establish responsible practices for data protection, access control, and human review.
  • Prepare an AI adoption roadmap with defined use cases, performance indicators, and implementation priorities.

Course Outline

Day 1

AI Fundamentals and the Modern Project Management Environment

  • Overview of artificial intelligence, machine learning, generative AI, predictive analytics, and intelligent automation.
  • The project lifecycle and opportunities for AI integration across initiation, planning, execution, monitoring, and closure.
  • Selecting AI tools according to project objectives, organizational requirements, and existing software environments.
  • Using AI assistants to summarize documents, extract requirements, organize information, and support project administration.
  • Prompt design techniques for generating accurate, structured, and context-specific project outputs.
  • Data quality, confidentiality, cybersecurity, bias, output validation, and responsible AI use.
  • Practical Exercise: Develop an AI-assisted workflow for a sample project and identify tasks suitable for automation, human review, and decision support.
Day 2

AI-Assisted Project Planning, Scheduling, and Resource Management

  • Developing project charters, objectives, scope statements, deliverables, and stakeholder requirements with AI assistance.
  • Creating work breakdown structures (WBS), activity lists, milestones, dependencies, and responsibility assignments.
  • Using AI tools to support schedule development, timeline estimation, task prioritization, and deadline monitoring.
  • Analysing resource availability, workload distribution, capacity constraints, and competing priorities.
  • Applying scenario analysis to evaluate schedule changes, resource shortages, and alternative delivery strategies.
  • Integrating AI-generated planning outputs with project scheduling and collaboration platforms.
  • Practical Exercise: Build an AI-assisted project plan with a work breakdown structure, milestone schedule, resource assignments, and potential schedule risks.
Day 3

AI for Project Execution, Communication, and Performance Monitoring

  • Using AI to organize project meetings, generate agendas, summarize discussions, and extract decisions and action items.
  • Automating status updates, progress summaries, task reminders, and management reporting.
  • Monitoring deliverables, milestones, dependencies, and outstanding actions using AI-supported tracking methods.
  • Analysing project performance data to identify delays, workload imbalances, recurring issues, and delivery bottlenecks.
  • Improving stakeholder communication through tailored reports, progress updates, and structured project documentation.
  • Establishing review procedures to confirm the accuracy and completeness of AI-generated project information.
  • Practical Exercise: Convert sample project updates and meeting notes into an action tracker, progress report, and stakeholder communication package.
Day 4

AI-Driven Risk Management, Budget Control, and Decision Support

  • Identifying project risks from project plans, issue logs, stakeholder feedback, historical information, and status reports.
  • Using AI-assisted analysis to assess risk likelihood, potential impact, urgency, and mitigation options.
  • Analysing budget data, expenditure trends, resource costs, and potential cost deviations.
  • Applying predictive analytics and scenario modelling to evaluate possible project outcomes.
  • Supporting change management through impact assessments covering scope, schedule, cost, quality, and resources.
  • Establishing escalation thresholds, human approval requirements, and controls for AI-supported recommendations.
  • Practical Exercise: Evaluate a project experiencing schedule delays and budget pressures, use AI-assisted analysis to compare response options, and prepare a prioritized risk and corrective action plan.
Day 5

AI Integration, Governance, and Continuous Improvement

  • Designing AI-assisted dashboards and reports for project teams, executives, and steering committees.
  • Integrating AI tools with project management platforms, collaboration applications, and approved organizational data sources.
  • Establishing standardized prompts, reusable workflows, documentation practices, and quality assurance procedures.
  • Defining governance requirements for data access, confidentiality, cybersecurity, auditability, and accountability.
  • Developing key performance indicators to measure productivity, reporting efficiency, decision quality, and project delivery improvements.
  • Preparing an AI implementation roadmap covering pilot projects, staff training, change management, adoption, and continuous improvement.
  • Practical Exercise: Develop an AI integration plan for a selected project, including priority use cases, workflow design, governance controls, performance indicators, and an implementation timeline.

Upcoming Dates

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London · 22 – 26 Feb 2027 · Classroom

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RiyadhScheduled
2 – 6 Nov 2026€4,200—
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SingaporeScheduled
9 – 13 Nov 2026€6,700—
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AbujaScheduled
16 – 20 Nov 2026€5,100—
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AmmanScheduled
22 – 26 Nov 2026€3,100€2,790until 2 Nov
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AccraScheduled
23 – 27 Nov 2026€5,100€4,590until 2 Nov
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AmsterdamScheduled
30 Nov – 4 Dec 2026€5,400€4,860until 9 Nov
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BangkokScheduled
7 – 11 Dec 2026€6,100€5,490until 16 Nov
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BakuScheduled
7 – 11 Dec 2026€4,800€4,320until 16 Nov
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BarcelonaScheduled
14 – 18 Dec 2026€5,400€4,860until 23 Nov
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BeirutScheduled
20 – 24 Dec 2026€4,000€3,600until 30 Nov
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BerlinScheduled
21 – 25 Dec 2026€5,800€5,220until 30 Nov
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CairoScheduled
27 – 31 Dec 2026€3,300€2,970until 7 Dec
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CasablancaScheduled
4 – 8 Jan 2027€4,300€3,870until 14 Dec
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Cape TownScheduled
4 – 8 Jan 2027€5,100€4,590until 14 Dec
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DammamScheduled
10 – 14 Jan 2027€4,200€3,780until 21 Dec
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DohaScheduled
17 – 21 Jan 2027€4,400€3,960until 28 Dec
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DubaiScheduled
24 – 28 Jan 2027€4,400€3,960until 4 Jan
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ErbilScheduled
24 – 28 Jan 2027€3,100€2,790until 4 Jan
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GenevaScheduled
1 – 5 Feb 2027€6,300€5,670until 11 Jan
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JeddahScheduled
7 – 11 Feb 2027€4,200€3,780until 18 Jan
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IstanbulScheduled
8 – 12 Feb 2027€4,700€4,230until 18 Jan
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Kuala LumpurScheduled
15 – 19 Feb 2027€4,400€3,960until 25 Jan
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LondonScheduled
22 – 26 Feb 2027€5,600€5,040until 1 Feb
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LisbonScheduled
22 – 26 Feb 2027€5,400€4,860until 1 Feb
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MadinahScheduled
1 – 5 Mar 2027€4,200€3,780until 8 Feb
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MadridScheduled
8 – 12 Mar 2027€5,400€4,860until 15 Feb
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ManamaScheduled
15 – 19 Mar 2027€4,700€4,230until 22 Feb
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MakkahScheduled
15 – 19 Mar 2027€4,200€3,780until 22 Feb
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MuscatScheduled
22 – 26 Mar 2027€5,300€4,770until 1 Mar
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OnlineScheduled
28 Mar – 1 Apr 2027€1,700€1,530until 8 Mar
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