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This repo is for linkedin learning course: Building Advanced AI Apps with Prompt Flow

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Prompt Flow: Hands-On

This is the repository for the LinkedIn Learning course Prompt Flow: Hands-On. The full course is available from LinkedIn Learning.

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In this course, Senior Staff Instructor Morten Rand-Hendriksen guides you through hands-on practice creating, analyzing, and evaluating workflows that link LLMs, prompts, and Python code. With real-world examples and practical insights, Morten helps you master prompt engineering, streamlining development, and getting started orchestrating advanced AI projects.

Instructions

You have two options to follow along with the course:

  1. Build your own Prompt Flow from scratch and using the files in ./example-files/.
  2. Watch the course and inspect the completed project files in ./reader-final/.

Installing

The quickest way to follow along is by opening this repo in GitHub Codespaces. This provides a preconfigured environment with Python, Docker, and all necessary dependencies and extensions installed and activated. Click the button below to open a new Codespace:

Open in GitHub Codespaces

You can also clone this repo and run the app locally in your preferred IDE. To do so you need a local Python environment with all the dependencies listed in requirements.txt installed:

pip install -r requirements.txt

AI service dependencies

To run the course examples you need an OpenAI API subscription. If you want to test out the custom MistralAI integration you also need a MistralAI subscription.

Information on how to set up the necessary connections is covered in the course and can also be found in reader-final/README.md.

Instructor

Morten Rand-Hendriksen

Senior Staff Instructor, Speaker, Web Designer, and Software Developer

Check out my other courses on LinkedIn Learning.

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This repo is for linkedin learning course: Building Advanced AI Apps with Prompt Flow

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