- Course
- AI
ChatGPT Enterprise: Advanced Features
Integrate ChatGPT with enterprise systems, build custom GPTs, and use the API for advanced workflows. Learn secure connectors, governance, and real-world use cases to scale AI adoption across your organization.
What you'll learn
Many organizations use ChatGPT Enterprise but struggle to move beyond basic usage into secure, scalable integrations that deliver real business value. In this course, ChatGPT Enterprise: Advanced Features, you’ll gain the ability to integrate, extend, and customize OpenAI’s enterprise platform to unlock practical value across your organization. First, you’ll explore how and when to integrate ChatGPT with enterprise systems, reviewing drivers like automation, real-time insights, and compliance while walking through the connector lifecycle from setup to deployment. Next, you’ll discover how to build and deploy custom GPTs using GPT Builder, configure instructions, upload domain-specific documents, and connect APIs to create role-specific assistants. Finally, you’ll learn how to extend ChatGPT Enterprise into your own applications with the ChatGPT API by building chatbots, managing tokens securely, and applying best practices for monitoring and error handling. When you’re finished with this course, you’ll have the skills and knowledge of ChatGPT Enterprise needed to integrate it securely, build tailored GPTs, and extend generative AI capabilities across enterprise systems.
Table of contents
About the author
Dr. Daniel “Brian” Letort is a 22+ year veteran of Information Technology. During a 21-year tenure at Northrop Grumman, Brian held various roles across software engineering, systems engineering, Chief Applications Architect, Chief Data Scientist, and Chief Enterprise Architect. Brian held the NG Fellow title for six years and Technical Fellow title for four years prior. In 2022, Brian joined Digital Realty as the Chief Architect - Product and Artificial Intelligence. Aside from working at Digital Realty, Brian has 12+ years experience in teaching Data Science and Computer Science classes as an adjunct professor. Brian has authored two books and holds two patents.