Learn to use artificial intelligence to streamline construction workflows, analyze project information, create no-code solutions and make better informed decisions. This AI course focuses on industry specific use cases for how to apply AI in Architecture, Engineering and Construction (AEC). You’ll explore practical ways to work with project information, create useful tools and evaluate where AI can add value to your organization.
Create Tools Without Traditional Coding
Develop custom AI agents and no-code solutions tailored to professional workflows.
Boost Project Information Efficiency
Use advanced prompting and document analysis to support reports, communications and recurring tasks.
Lead Thoughtful AI Adoption
Evaluate the limitations, ethical considerations and implementation challenges of AI in the AEC industry.
What You'll Get
- Practical experience using AI tools to streamline reporting, communication and project documentation
- Skills in generative design, predictive analytics and computer vision for safety and progress tracking
- Hands-on training in no-code AI solutions for construction workflows
- Advanced techniques in prompt engineering and custom AI agent development
- Experience with AI-powered document analysis and structured data extraction
- Proficiency in generative visualization, editing and computer vision applications
Who is this Course For?
Whether you lead projects, develop designs, estimate costs or oversee field performance, this course helps you identify practical AI applications for the work you already do.
- Project and Construction Managers: Improve documentation, communication, information gathering and project decision-making.
- Architects and Engineers: Explore generative and visual AI applications that support design and analysis workflows.
- Estimators and Preconstruction Teams: Use AI to review information, extract structured data and support planning activities.
- Field and Safety Professionals: Examine visual AI applications for site imagery, safety observations and progress tracking.
- Quality Control Professionals: Investigate how AI can support documentation, quality insights and consistent review.
"I didn't want to just learn AI in a general sense. I wanted to better understand how it could apply to my work and add value."
Bill Eveloff, a senior director of construction at Stanford Health Care, completed UC Davis CPE's AI in Construction course.