Project Management Office and Artificial Intelligence

Course Info

Length: 1 Week

City: London

Type: In Classroom

Available Dates

  • Feb-03-2025

    London

  • Apr-07-2025

    London

  • June-09-2025

    London

  • Aug-04-2025

    London

  • Oct-06-2025

    London

  • Dec-08-2025

    London

Dates in Other Venues

  • Jan-06-2025

    Dubai

  • Mar-10-2025

    Istanbul

  • Mar-10-2025

    Kuala Lumpur

  • Mar-10-2025

    Barcelona

  • Mar-10-2025

    Singapore

  • Mar-10-2025

    Paris

  • Mar-10-2025

    Amsterdam

  • Mar-10-2025

    Dubai

  • May-05-2025

    Dubai

  • June-09-2025

    Kuala Lumpur

  • June-09-2025

    Istanbul

  • June-09-2025

    Barcelona

  • June-09-2025

    Singapore

  • June-09-2025

    Amsterdam

  • June-09-2025

    Paris

  • July-07-2025

    Dubai

  • Sep-08-2025

    Paris

  • Sep-08-2025

    Amsterdam

  • Sep-08-2025

    Barcelona

  • Sep-08-2025

    Singapore

  • Sep-08-2025

    Istanbul

  • Sep-08-2025

    Dubai

  • Sep-08-2025

    Kuala Lumpur

  • Nov-03-2025

    Dubai

  • Dec-08-2025

    Barcelona

  • Dec-08-2025

    Istanbul

  • Dec-08-2025

    Singapore

  • Dec-08-2025

    Paris

  • Dec-08-2025

    Kuala Lumpur

  • Dec-08-2025

    Amsterdam

Course Details

Course Outline

5 days course

Overview of Project Management Office (PMO)


  • Defining project management office  
  • Identifying the importance of PMO in achieving organizational success 
  • Discovering the types of PMOs and their structures 
  • Describing the key functions and responsibilities of PMO
  • Definition of AI concepts and terminology
  • Overview of AI technologies and techniques used for PMO 
  • Challenges and opportunities of integrating AI into PMO

AI for PMO Decision Making 


  • AI application as a decision-making tool:


  1. AI predictive analytics in project intake process 
  2. AI-based scoring systems for evaluating project’s values 
  3. AI-driven models for assessing project’s risks 
  4. AI-driven models for resources allocation and management 


  • Understanding the Bayes’ Theorem and its application in AI predictive analytics 
  • Methods for automating decision making process
  • Exploring machine learning algorithms used for decision making 
  • Approaches for AI decision making:


  1. Searching 
  2. Adversarial searching 
  3. Constraint satisfaction problems
  4. Bid data 



  • Discussing the role of deep learning in automating decision making

AI for Resource Management  


  • Understanding the role of AI tools in optimizing human and material resource management
  • Reviewing AI-driven methods used for resource allocation
  • Exploring machine learning techniques for resource needs prediction
  • Ways of automating resource scheduling and time management
  •  Discussing the applications of AI techniques in analyzing team performance and skillsets
  • Case studies highlighting the applications of AI technologies in resource management

Natural Language Processing in PMO


  • Defining natural language processing (NLP)
  • Discussing the impact of NLP in PMO functions  
  • NLP applications in PMO:


  1. Facilitating communication 
  2. Documentation and reporting 
  3. Data analysis 


  • Exploring various NLP-based tools for communication
  • The way of creating automated reports, summaries, and meeting minutes 
  • Describing the implementation of NLP in document classification and management 
  • Discussing the effectiveness of using NLP-driven assistants in supporting PMO tasks

PMO Preparation for AI 


  • Key considerations for integrating AI into PMO structures  
  • Steps of developing AI integration plan 
  • Best practices for building AI solutions for PMOs
  • Strategies for training employees for effective usage of AI tools 
  • Discussing ethical and legal considerations associated with integrating AI into PMO 
  • The importance of having governance frameworks for AI usage