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PM-005

AI Powered Project Management

Intensive 5-day course · English, Arabic & European languages

Project managers examine AI across the project lifecycle in six modules over five days. Delegates practise forecasting and resource allocation, build dashboards and interpret risk analytics. Simulations use tools such as MS Project and ChatGPT, while separate sessions address ethical, legal and organisational considerations in adopting AI.

Classroom

Public courses in our cities

  • 19–23 Oct 2026Riyadh£4,200 + VAT
  • 2–6 Nov 2026Doha£4,200 + VAT
  • 16–20 Nov 2026London£3,360 + VAT
  • 7–11 Dec 2026Munich£3,400 + VAT
  • 21–25 Dec 2026Abu Dhabi£4,200 + VAT
  • 11–15 Jan 2027Rome£3,400 + VAT
Show 23 more dates
  • 25–29 Jan 2027Geneva£4,200 + VAT
  • 8–12 Feb 2027Kuala Lumpur£1,800 + VAT
  • 22–26 Feb 2027Abu Dhabi£4,200 + VAT
  • 1–5 Mar 2027Barcelona£3,080 + VAT
  • 15–19 Mar 2027Cairo£2,280 + VAT
  • 5–9 Apr 2027Jeddah£4,200 + VAT
  • 19–23 Apr 2027London£3,360 + VAT
  • 3–7 May 2027Munich£3,400 + VAT
  • 17–21 May 2027Singapore£4,200 + VAT
  • 14–18 Jun 2027Rome£3,400 + VAT
  • 28 Jun – 2 Jul 2027Muscat£3,080 + VAT
  • 12–16 Jul 2027Kuala Lumpur£1,800 + VAT
  • 26–30 Jul 2027Casablanca£2,280 + VAT
  • 2–6 Aug 2027Barcelona£3,080 + VAT
  • 16–20 Aug 2027Manama£3,080 + VAT
  • 6–10 Sep 2027Amman£3,400 + VAT
  • 20–24 Sep 2027London£3,360 + VAT
  • 4–8 Oct 2027Munich£3,400 + VAT
  • 18–22 Oct 2027Madrid£3,400 + VAT
  • 8–12 Nov 2027Rome£3,400 + VAT
  • 22–26 Nov 2027Berlin£3,400 + VAT
  • 13–17 Dec 2027Kuala Lumpur£1,800 + VAT
  • 27–31 Dec 2027Milan£3,400 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

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AI Powered Project Management

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Course overview

Project teams use forecasts and progress information to decide how to allocate work and respond to risk. The course examines AI applications in those decisions, with practical examples of how the tools affect workflows and stakeholder engagement. Delegates compare conventional project management models with approaches supported by machine learning and automation.

Six modules follow the project lifecycle. Work covers initiation and planning, scheduling and monitoring, then project closure and documentation of lessons learned. Delegates compare AI tools and assess their compatibility with existing project software before interpreting predictive models for costs, timelines and resource needs.

Dashboards connect analysis with reporting. Delegates examine natural language generation, data accuracy and bias, then practise risk simulations and task prioritisation with AI assistants, MS Project and ChatGPT. The final module addresses privacy, legal compliance and ethical failures, together with organisational change and governance arrangements for AI adoption.

Course objectives

By the end of the course, delegates will be able to:

  1. Analyse how AI technologies change project management practices
  2. Choose appropriate software for different delivery stages
  3. Interpret predictive analytics to control risks and resources
  4. Build smart dashboards and reports for faster decision-making
  5. Apply these technologies during live project simulations
  6. Evaluate ethical, legal and organisational considerations in AI use

Target competencies

  • Applying automation to project lifecycle phases
  • Identifying appropriate software for project management
  • Interpreting predictive analytics for risk and planning
  • Integrating machine learning into resource and task allocation
  • Using natural language processing for reporting
  • Enhancing decision-making through smart dashboards
  • Understanding ethical and compliance rules
  • Evaluating the impact on project KPIs and success criteria

Who should attend

This course suits:

  • Project managers looking to introduce data-driven tools

Training methodology

  • Delivered through interactive videos, questionnaires, and case studies.
  • Incorporates team exercises, independent practice, and group discussions.

Course modules

  1. Module 1

    Fundamentals of AI in Project Management

    • AI fundamentals and terminology used in project management
    • Historical versus automated operating models
    • Key technologies including ML, NLP, and RPA
    • Benefits and hurdles of adopting these tools
    • Practical use cases in real-world delivery
    • Trends driving integration in workflows
  2. Module 2

    AI Tools for Project Phases

    • Tools for initiation and initial planning
    • Applications in task scheduling and assignment
    • Software for real-time monitoring and control
    • Using automation for closure and lessons learned
    • Criteria for picking the right software
    • Evaluating compatibility with existing setups
    • Case comparisons of implementation
  3. Module 3

    Predictive Analytics for Risk and Resource Planning

    • Forecasting risks using machine learning models
    • Allocating and optimising project resources with AI
    • Predictive modelling for timelines and costs
    • Sentiment analysis for stakeholder alignment
    • Interpreting risk heatmaps and scenario simulations
    • Using automated alerts for contingency planning
  4. Module 4

    Decision-Making with Dashboards

    • Visualising data and building a narrative
    • Integrating KPIs into reporting screens
    • Automating reports through natural language generation
    • Customising outputs for different stakeholders
    • Maintaining data accuracy, reducing bias and keeping audit trails
    • Demonstrating reporting tools and templates
  5. Module 5

    Tools in Real-Time Simulations

    • Hands-on practice using MS Project
    • Simulating risk scenarios with intelligent assistants
    • Scheduling and reforecasting exercises
    • Group exercise: automated task prioritisation
    • Collaborative decisions using ChatGPT and NLP tools
  6. Module 6

    Ethics and Compliance

    • Ethical implications of automated decisions
    • Data privacy and legal compliance rules
    • Bias detection and mitigation strategies
    • Managing organisational change during adoption
    • Establishing clear governance frameworks
    • Case studies of ethical failures and lessons learned

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

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AI Powered Project Management

Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

booking terms and conditions

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AI Powered Project Management