Artificial Intelligence in Project Management
Corporate Training Courses Company

Artificial Intelligence in Project Management

Course schedule

Classroom Training:
DateVenueDurationPrice
6 - 10 Jul 2026London5 days£4,995
21 - 25 Sep 2026London5 days£4,995
18 - 22 May 2026Riyadh5 days£4,995
15 - 19 Jun 2026Dubai5 days£4,995
13 - 17 Jul 2026Cape Town5 days£4,995
10 - 14 Aug 2026Istanbul5 days£4,995
14 - 18 Sep 2026Riyadh5 days£4,995
12 - 16 Oct 2026Dubai5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.
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Course Overview

This course demonstrates how AI automates contract review, analysis, and performance monitoring. Delegates examine natural language processing, risk detection, and compliance tools. Participants learn to streamline contract lifecycles. The programme equips legal and procurement professionals to improve accuracy and efficiency through AI integration.

Who Should Attend

Project professionals adopting AI to enhance planning, forecasting, and delivery performance. Past delegates have included:

  • Project Managers
  • PMO Analysts
  • Operations Directors
  • Data Analysts
  • Business Process Managers

Course Outcomes

  • Use AI-driven tools for scheduling, risk assessment, and resource optimisation.
  • Leverage predictive analytics to anticipate project challenges and delays.
  • Automate project reporting and stakeholder communication.
  • Integrate AI insights into performance management and cost forecasting.
  • Enhance project governance and agility using intelligent data systems.

Course Topics

Introduction to Artificial Intelligence

  • Understand AI principles and types across industries.
  • Identify opportunities and challenges in AI adoption.
  • Evaluate emerging AI technologies and their impact.
  • Discuss the ethical, legal, and social implications of AI.

AI in Decision-Making

  • Apply AI insights for operational and strategic decisions.
  • Integrate predictive analytics to improve decision outcomes.
  • Use AI for scenario modelling and data interpretation.
  • Manage biases and transparency issues in algorithmic decisions.

Ethical AI and Governance

  • Implement frameworks for responsible and transparent AI use.
  • Identify ethical risks associated with automated decision systems.
  • Design governance models ensuring fairness and accountability.
  • Promote stakeholder confidence in ethical AI implementation.

AI for Project Planning and Scheduling

  • Leverage AI to optimise timelines and project dependencies.
  • Use predictive analytics to forecast resource and budget allocation.
  • Integrate AI into project management dashboards for agile decision-making.
  • Identify process bottlenecks using real-time AI insights.

AI for Monitoring and Execution

  • Implement AI-driven systems for project tracking and delivery oversight.
  • Develop predictive tools to manage deviations from plan baselines.
  • Use data analytics for dynamic reallocation of project resources.
  • Enhance accuracy and reporting with AI-powered monitoring tools.

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