Project Management in Construction Using AI

Course objective

To develop practical skills in managing construction projects at all stages of the project life cycle — from initiation and planning to control, risk management, and project closure — using artificial intelligence tools.

Learning Format

  • Online
  • Practical cases, workshops, interactive sessions
  • Participant support via a private chat during the course
  • Group training: 7600 UAH/hour. Group of up to 12 participants
  • Individual mentoring: 2 500 UAH/hour

What Will Graduates Gain?

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The problem this course solves

In construction projects, a systematic management approach is often missing: plans do not reflect actual execution, deadlines are missed, budgets are exceeded, and control is reduced to reacting to problems after they occur. A significant portion of a project manager’s time is spent on manual work with documents, reports, and approvals instead of managing the project.

The course addresses this problem by teaching a structured approach to construction project management and the practical use of AI for planning, control, contractor management, risk management, and change management, increasing project predictability and controllability.

Program

1
  • Construction project life cycle: from concept to commissioning
  • Participants: developer, general contractor, subcontractors, technical supervision, designers
  • Areas of responsibility of the PM on the developer’s side

2
  • How to gather requirements in construction (feasibility study, sketches, design documentation, expert review)
  • Project KPIs

3
  • How to structure a construction project: earthworks, foundation, frame, engineering systems, etc.
  • Dependencies between activities

4
  • Work execution schedule, critical path, delay logic
  • Coordination of subcontractor activities

5
  • Cost items: materials, equipment, contractors, reserves
  • Budget change control

6
  • Working with investors, designers, city authorities, technical supervision
  • Communication matrix

7
  • Selection, tenders, competency assessment
  • Contracts, SLAs, quality control of works
  • Communication, coordination, alignment

8
  • Certificates of completed works, logs, approvals
  • Typical documentation errors

9
  • Checklists for different construction stages
  • Defect and punch list management process
  • Quality reporting: status reports, photo and video reports

10
  • Construction metrics: SPI, deviations
  • Daily and weekly reports

11
  • Expense tracking and plan adjustment
  • Cost control tools

12
  • Typical risks: weather, material delays, contractor issues, technical changes
  • Risk matrix

13
  • Changes in project documentation
  • Impact on schedule and budget
  • Change approval process

14
  • Preparation of the facility for commissioning
  • Final documentation, certifications, final audit
  • Lessons learned and knowledge transfer

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