AI+ Construction Practitioner™

Course code: NPAP5402

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.

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI-Driven Project Planning & Optimization

Leverage AI tools to enhance construction planning, optimize resource allocation, and improve project timelines with data-backed insights.

Predictive Analytics for Risk Management

Understand how to use AI to forecast project risks, delays, and cost overruns, enabling proactive decision-making and smoother execution.

Smart Construction & Automation

Learn to implement AI-powered technologies such as automation, robotics, and IoT to streamline on-site operations and boost efficiency.

Sustainable & Data-Driven Building Practices

Explore how AI can support sustainable construction through energy optimization, material efficiency, and reduced environmental impact.

Course structure

Module 1: Artificial Intelligence – Foundations for Construction Professionals

  • 1.1 Artificial Intelligence (AI)
  • 1.2 Core AI Concepts
  • 1.3 AI in Daily Life & Across Industries
  • 1.4 Ethical & Responsible AI in Construction
  • 1.5 Case Study
  • 1.6 Hands – on Simulation Activity

Module 2: Foundations of AI in Construction

  • 2.1 The Rise of AI in Construction
  • 2.2 The AI Ecosystem in Construction
  • 2.3 Challenges in AI Adoption
  • 2.4 Case Study
  • 2.5 Hands – on Simulation Activity

Module 3: Generative Design & AI-Driven Planning

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

Module 4: Predictive Maintenance & Smart Asset Management

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

Module 5: AI Agents for Construction Management

  • 5.1 Introduction to AI Agents
  • 5.2 Site Management Agents
  • 5.3 Safety & Compliance Agents
  • 5.4 Case Study: Metro Link Builders
  • 5.5 Hands – on Simulation Activity

Module 6: AI in Project Analytics & Risk Forecasting

  • 6.1 AI for Cost and Delay Prediction
  • 6.2 Risk Management using AI
  • 6.3 Data Visualization and Reporting
  • 6.4 Case Study: Skyline Infra
  • 6.5 Hands – on Simulation Activity

Module 7: Responsible & Ethical AI in Construction

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

Module 8: Capstone Project — AI-Enabled Smart Construction

  • 8.1 Project Definition
  • 8.2 Solution Development
  • 8.3 Presentation and Evaluation
  • 8.4 Hands-on Simulation Activity

Prerequisites

  • Basic Construction Knowledge: Understanding of construction processes and terminology.
  • Familiarity with AI Concepts: Basic knowledge of AI and machine learning principles.
  • Data Analysis Skills: Ability to interpret and manipulate construction data.
  • Tech-Savvy: Comfortable with using construction software and tools.
  • Problem-Solving Mindset: Critical thinking for real-world construction challenges.

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