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AI Fundamentals for Construction Professionals

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AI Fundamentals for Construction Professionals
Microcredential

AI Fundamentals for Construction Professionals

This microcredential provides construction professionals with a practical understanding of artificial intelligence, where it is being applied in the construction lifecycle, and how to assess opportunities and risks.

This is not a technical coding course. It builds AI awareness and informed decision-making capability.

  • Duration: 20 hours
  • Delivery Mode: Blended (live workshops + practical examples)
  • Level: Foundation (Level 1)
  • Course Fee: $1,200 per participant (including GST)
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Micro credential Overview
Target Audience and Prerequisite
Modules and Topics
Assessments
Micro credential Overview

Microcredential Overview

This microcredential provides construction professionals with a practical understanding of artificial intelligence, where it is being applied in the construction lifecycle, and how to assess opportunities and risks.

This is not a technical coding course. It builds AI awareness and informed decision-making capability.

Learning Outcomes

By the end of this microcredential, participants will be able to:

  1. Explain core AI concepts in plain construction-focused terms
  2. Distinguish between automation, analytics, and AI-driven systems
  3. Identify where AI is currently used across the construction lifecycle
  4. Recognise practical use cases in planning, cost control, and safety
  5. Identify risks and limitations of AI systems in construction
  6. Conduct a basic AI readiness assessment for a project or organisation
  7. Prioritise AI opportunities based on risk, cost, and impact
Target Audience and Prerequisite

Prerequisite

Basic IT knowledge (networks, systems, or software).
No AI background required.

Target Audience:

  • Project managers
  • Site supervisors
  • Construction managers
  • Quantity surveyors
  • Estimators
  • Infrastructure coordinators
  • Engineering consultants
Modules and Topics

Modules and Topics

Module 1: Understanding AI Without the Hype

Topics and activities:

  • What AI actually is
  • Machine learning explained simply
  • Data-driven decision systems
  • Automation vs AI
  • Common misconceptions
  • Construction examples: Schedule prediction, Defect detection, Cost estimation tools
  • List construction tools in use and identify AI capabilities.
  • AI awareness reflection.

Module 2: AI Across the Construction Lifecycle

Topics and activities:

  • AI in design and BIM
  • AI in project scheduling
  • AI in procurement and tendering
  • AI in cost forecasting
  • AI in site monitoring and safety
  • AI in asset management post-construction
  • Map a typical project lifecycle and identify potential AI intervention points.
  • Develop a construction lifecycle AI map.

Module 3: Practical Use Cases That Deliver ROI (4–5 hrs)

Topics and activities:

  • Reducing cost overruns
  • Predicting delays
  • Improving bid accuracy
  • Safety risk prediction
  • Workforce productivity analysis
  • Case studies: Real or simulated infrastructure projects, Comparison of traditional vs AI-assisted planning
  • Evaluate one high-impact use case relevant to role.
  • Prepare a use case summary with expected benefits.

Module 4: Risk, Data & Governance in Construction AI

Topics and activities:

  • Data quality challenges in construction
  • Integration with BIM and ERP systems
  • Bias and inaccurate predictions
  • Safety and compliance implications
  • Vendor evaluation basics
  • Conduct a basic AI risk and data readiness checklist for an organisation.
  • AI readiness and risk scan.

Module 5: Preparing for AI Adoption

Topics and activities:

  • Skills implications for teams
  • Change management in construction firms
  • Build vs buy decisions
  • Phased adoption approaches
  • Prioritise 2–3 potential AI opportunities for an organisation.
  • Develop a priority opportunity list with justification.

 

Assessments

Assessments

Assessments are applied and workplace-focused.

  • Assessment 1 – AI Landscape Reflection (25%)
  • Assessment 2 – Construction AI Use Case Analysis (25%)
  • Assessment 3 – AI Readiness & Opportunity Brief (50%)
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Have Questions About This Course?

We’re here to help! If you have any questions about the course content, admission requirements, or enrollment process, feel free to reach out to us. Our admissions team will be happy to assist you.

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National Institute of Technology (NIT) is a progressive and highly regarded training provider of industry- focused education, empowering students with practical skills and real-world knowledge. Join us to accelerate your ICT career with confidence and competence. Some of our industry partnerships and affiliations* include:

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