From the course: Prompt Flow: Hands-On

Prompt Flow: A hands-on example - Azure AI Services Tutorial

From the course: Prompt Flow: Hands-On

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Prompt Flow: A hands-on example

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- You have an idea for a new AI-powered app and you're itching to get started. Which begs the question, "Where do you start and how do you start? And how do you wire the application together in a way that is observable and understandable?" Prompt Flow, an open source project from Microsoft, provides one answer. And in this course, we'll take a deep dive and build an advanced AI-powered app that leverages OpenAI and Mistral AI and a heavy dose of Python to create a unique chat experience. Prompt Flow streamlines the process of prototyping, testing, validating, and building advanced AI-powered apps through the use of LLM connections, custom Python tools, and various debugging experimentation and validation features. And in this course, you'll use them all and a project we'll build together so you're ready to build your next project on your own. One quick note before we get started. This course is the second of a pair. So if this is the first time you're encountering Prompt Flow, I recommend you take half an hour to watch the first half, Building Advanced AI Apps with Prompt Flow, to get a robust intro to the application and how to get started. AI-powered apps are a whole new type of software requiring its own specialized tooling, and I'm here to help you get your prompts flowing right. Let's get cracking.

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