Course Outline
Introduction
- Philosophy and principles of Building Automation
- Overview of ChatGPT features and architecture
- Beyond traditional automation practices
Understanding Building Automation with ChatGPT
- The lifecycle of a Building Automation process
- How ChatGPT fits in with building management systems
- How ChatGPT works
Getting Started
- Setting up the Development Environment
- Installing ChatGPT as a stand-alone application
- Installing ChatGPT as a container (Docker, Podman, etc.)
- Installing ChatGPT on-premise
- Installing ChatGPT in the cloud (private, AWS, etc.)
Developing Building Automation Processes
- Defining automation standards
- Designing automation scripts and workflows
- Implementing automation for lighting systems
- Implementing automation for HVAC systems
- Implementing automation for fire safety systems
- Managing automation environments and data
Integrating ChatGPT with Building Management Systems
- Continuous Integration (CI) and Continuous Deployment (CD)
- Integrating ChatGPT with existing BMS (Building Management Systems)
- Using version control systems (Git, SVN) for building automation
Advanced Building Automation Techniques
- Performance testing for automation systems
- Environmental testing for building management
- Reliability prediction and modeling
- Maintenance strategies and optimization
Troubleshooting
- Debugging common issues in Building Automation with ChatGPT
- Analyzing automation test results
- Optimizing automation processes
Summary and Next Steps
- Reviewing key concepts and practices
- Planning for ongoing improvement
- Exploring advanced topics and further learning opportunities
Requirements
- Basic understanding of building automation systems.
- Familiarity with AI and machine learning concepts.
- Basic programming experience (Python recommended).
Audience:
- Building Automation Engineers
- Facility Managers
- System Integrators
Testimonials (3)
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
Practical examples in Insurance