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: 6300 UAH/hour. Group of up to 12 participants
  • Course: 20,000 UAH / per participant

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 of the course "Project Management in Construction Using AI"

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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