AI+ Construction Practitioner™

Course code: AP5402

Master AI-Driven Construction Excellence with Practical Application

  • AI-Powered Construction Strategy: Learn how to apply AI across construction workflows—from planning and design to execution, enhancing efficiency, reducing costs, and improving decision-making.
  • Managing AI-Enabled Projects: Develop the ability to oversee AI-driven construction projects, including scheduling, cost estimation, and risk forecasting for better project outcomes.
  • AI Integration in Construction Workflows: Understand how to embed AI into existing systems like BIM, IoT, and digital tools to streamline operations and enable data-driven site management.
  • Leading AI-Enhanced Site Operations: Gain skills to manage teams and site activities using AI agents, automation, and real-time insights to improve productivity and safety compliance.
  • Future-Ready Construction with AI: Stay ahead by leveraging predictive analytics, generative design, and smart asset management to build resilient, efficient, and technology-driven construction operations.

Price of the certification exam is included in the price of the course.

Akční cena
140 EUR

169 EUR including VAT

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 140 EUR Akční cena

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duration
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Upon request Self-paced 8 hours en A 140 EUR Register
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Course description

Drive AI Adoption in Construction Projects:

Move beyond theory and learn how to apply AI directly to construction workflows—improving planning accuracy, site safety, and operational efficiency where it actually impacts results.

Integrate AI into Real-World Construction Systems:

Understand how to embed AI into tools like BIM, IoT, and site monitoring systems, enabling smarter coordination, automation, and data-driven execution.

Optimize Project Performance and Resource Use:

Gain practical skills to manage schedules, costs, and resources using AI-driven insights—reducing delays, minimizing waste, and improving project outcomes.

Make Smarter, Data-Backed Decisions On-Site:

Learn how to use predictive analytics and real-time data to anticipate risks, prevent failures, and improve decision-making across the project lifecycle.

Stay Relevant in a Rapidly Evolving Industry:

Construction is being reshaped by automation and AI—this certification positions you to stay competitive, adapt faster, and lead technology-driven transformation on-site and beyond.

  • ChatGPT
  • Google Gemini
  • Microsoft Copilot
  • Trello AI
  • Jira Free Tier
  • ClickUp
  • Notion AI
  • GitHub Copilot
  • Google Sheets with AI Add-ons
  • Power BI
  • Tableau Public
  • Python
  • Pandas
  • Scikit-learn
  • AutoML Tools
  • Zapier
  • Slack AI Integrations
  • Burndown & Sprint Analytics Dashboards

Target group

Construction Project Managers: Ideal for professionals managing construction projects who want to apply AI to scheduling, cost control, risk forecasting, and site operations.

Site Engineers and Supervisors: Designed for those overseeing day-to-day site activities and looking to use AI for safety monitoring, reporting, compliance, and smarter decision-making.

Construction Business Leaders: For executives, founders, and department heads aiming to integrate AI into construction strategy, improve operational efficiency, and drive digital transformation.

Planning and Design Professionals: Suitable for architects, planners, BIM specialists, and design teams who want to use AI for generative design, coordination, and data-driven project planning.

Operations and Asset Management Professionals: Great for those responsible for equipment, maintenance, and construction assets who want to leverage AI for predictive maintenance, utilization tracking, and smarter resource management.

Course structure

Module 1: Artificial Intelligence – Foundations for Construction Professionals

  1. 1.1 Artificial Intelligence (AI)
  2. 1.2 Core AI Concepts
  3. 1.3 AI in Daily Life & Across Industries
  4. 1.4 Ethical & Responsible AI in Construction
  5. 1.5 Case Study
  6. 1.6 Hands – on Simulation Activity

Module 2: Foundations of AI in Construction

  1. 2.1 The Rise of AI in Construction
  2. 2.2 The AI Ecosystem in Construction
  3. 2.3 Challenges in AI Adoption
  4. 2.4 Case Study
  5. 2.5 Hands – on Simulation Activity

Module 3: Generative Design & AI-Driven Planning

  1. 3.1 Generative Design Concepts
  2. 3.2 AI for Sustainable Construction
  3. 3.3 Scheduling & Cost Estimation with AI
  4. 3.4 Case Study: EcoConstruct Ltd.
  5. 3.5 Hands – on Simulation Activity

Module 4: Predictive Maintenance & Smart Asset Management

  1. 4.1 Cost and Performance Optimization: The Economic Context Pipeline
  2. 4.2 Data Analytics for Asset Management
  3. 4.3 Computer Vision for Site Safety
  4. 4.4 Case Study: Build Sure Projects
  5. 4.5 Hands – on Simulation Activity

Module 5: AI Agents for Construction Management

  1. 5.1 Introduction to AI Agents
  2. 5.2 Site Management Agents
  3. 5.3 Safety & Compliance Agents
  4. 5.4 Case Study: Metro Link Builders
  5. 5.5 Hands – on Simulation Activity

Module 6: AI in Project Analytics & Risk Forecasting

  1. 6.1 AI for Cost and Delay Prediction
  2. 6.2 Risk Management using AI
  3. 6.3 Data Visualization and Reporting
  4. 6.4 Case Study: Skyline Infra
  5. 6.5 Hands – on Simulation Activity

Module 7: Responsible & Ethical AI in Construction

  1. 7.1 Principles of Responsible AI
  2. 7.2 Compliance and Data Protection
  3. 7.3 Human Oversight and Bias Prevention
  4. 7.4 Case Study: Safe Build Pvt. Ltd.
  5. 7.5 Interactive Activity
  6. 7.6 Hands – on Simulation Activity

Module 8: Capstone Project — AI-Enabled Smart Construction

  1. 8.1 Project Definition
  2. 8.2 Solution Development
  3. 8.3 Presentation and Evaluation
  4. 8.4 Hands-on Simulation Activity

Prerequisites

A solid understanding of AI and machine learning fundamentals, along with experience in project management, business strategy, governance, and compliance, is important for this course. Strong leadership and change management skills are also essential for successfully driving AI initiatives within construction environments.

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Certification

50 questions, 70% passing, 90 minutes, online proctored exam

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