self-paced

AI for Construction and Property

AI for Construction and Property — applied AI for this role using shared foundations and practical workflows.

Delivered by AI Build

Learning platform: SAVI.education

Certificate issued by SAVI.education

Duration
3 hours
Price
£79.00
  • Self-paced lessons

Course syllabus

Lessons are grouped into clear steps with visual cues, so each course is easier to scan before you start.

Lessons unlock after purchase. Create your account with the same email you paid with — no course code is required — or choose “Already purchased?” above.

  1. Step 1 · Lesson

    What Generative AI Is and Is Not

    Define generative AI, contrast it with traditional software, and set realistic expectations.

  2. Step 2 · Lesson

    Data Boundaries and Safe Use

    Set clear boundaries for personal, confidential and regulated data in AI tools.

  3. Step 3 · Lesson

    Giving AI Clear Instructions

    Write clear goals, context and constraints for better AI results.

  4. Step 4 · Lesson

    Ai Opportunities In Construction

    Learn where AI can create practical value across construction planning, tenders, site documentation, health and safety support, progress reporting and compliance administration. You will be able to identify suitable AI use cases, assess risks, and choose a sensible starting point for your organisation or project team.

  5. Step 5 · Lesson

    Project Planning And Scheduling

    Learn how to use AI to turn project information into practical planning inputs, programme options, lookahead schedules and stakeholder updates. You will be able to structure prompts, verify AI outputs against site realities, and use tools such as OfficeMaker to produce clear planning documents for construction teams.

  6. Step 6 · Lesson

    Safety Regulation And Human Oversight

    Learn how to assess healthcare AI systems for safety, compliance and operational risk before and after deployment. You will be able to define human oversight, document controls, monitor performance and create a practical governance workflow for educational and operational healthcare AI use cases.