AI+ Construction Practitioner™
Master AI-Driven Construction Excellence with Practical Application
Highlights
About this course
- 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.
This course includes
Course curriculum
8 chapters · 41 lessons
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
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
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
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
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
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
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
8.1 Project Definition 8.2 Solution Development 8.3 Presentation and Evaluation 8.4 Hands-on Simulation Activity
AI Tools Used
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
Prerequisites
Exam Details
Mode of Learning
Delivery: SelfPaced