Design, integrate, and deploy ChatGPT systems for real business and production use
Sub Category
- Data Science
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Objectives
- Understand how ChatGPT and large language models actually work, including their capabilities, limitations, and real-world risks, so they can be used responsibly
- Design reliable and structured prompts that produce consistent, controllable outputs suitable for real business and engineering use cases.
- Move beyond chatbots to build production-ready ChatGPT applications, using APIs, tool-calling, and multi-step workflows.
- Integrate ChatGPT with external data using Retrieval-Augmented Generation (RAG) to reduce hallucinations and generate grounded, auditable responses.
- Design and evaluate ChatGPT system architectures, considering latency, cost, scalability, and failure-tolerant workflows.
- Apply testing, monitoring, and evaluation techniques to ensure AI outputs remain accurate, reliable, and trustworthy in production environments.
- Address real-world concerns such as bias, privacy, and compliance, including safe handling of sensitive data and human-in-the-loop validation.
- Build and present a complete ChatGPT-powered application, demonstrating the ability to take an idea from prompt design to production-ready deployment.
Pre Requisites
- Basic familiarity with using ChatGPT or similar AI tools
- General understanding of how software or business workflows operate
- Curiosity about AI systems, automation, or real-world applications
- Willingness to think beyond simple prompts and chat interfaces
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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