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
 14 Hours

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