Build Your First AI Assistant with OpenAI Agent Builder (No Code Required)
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 15m | 45 MB
Instructor: Stephanie Nyarko
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 15m | 45 MB
Instructor: Stephanie Nyarko
In today’s workplace, finding the right information often means sifting through scattered files and endless threads. This course shows you how to change that by building your own AI assistant with OpenAI’s Agent Builder in AgentKit—no coding required. You’ll learn to organize knowledge in a vector store, apply Retrieval-Augmented Generation (RAG) to answer questions using your data, and design a human-in-the-loop review process for accuracy. By the end, you’ll have a practical, deployable AI agent that streamlines everyday work, regardless of your technical background.
Learning objectives
- Design and build an AI assistant in OpenAI’s Agent Builder that automatically organizes and summarizes information from uploaded files.
- Create and manage vector stores and apply Retrieval-Augmented Generation (RAG) to help your assistant retrieve and use relevant information.
- Implement a human-in-the-loop review process to ensure AI-generated outputs are accurate and approved before use.
- Expand and deploy your AI assistant to support new workflows and use cases.