This Postman AI Agent Builder course focuses on how to design, test, and deploy AI-powered systems using Postman. It is aimed at developers who want to integrate large language models (LLMs) into real-world applications and build scalable AI workflows.
The course begins by explaining how to streamline LLM integration using Postman’s AI Protocol. You will learn how to connect AI models with APIs efficiently and structure requests for better performance.
You will then explore how to evaluate LLM performance directly within Postman, helping you understand response quality and improve your AI systems. The course also shows how to generate agent-ready APIs automatically, making it easier to build AI-driven applications.
A key focus is on building multi-stage AI agents using Postman Flows, combining vector search with LLMs to create intelligent pipelines. You will also learn how to design event-driven AI workflows and autonomous agents for real-world scenarios like incident management.
In addition, the course demonstrates advanced use cases such as recreating deep research systems using Postman Flows, giving you insight into how complex AI systems are built and orchestrated.
By the end of this course, you will be able to build, test, and deploy AI agents using Postman with confidence and understand how t
