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Guided: Building an AI-powered API with Python and LangChain

Generative AI (GenAI) has gained attention for its capabilities, but many may find it difficult to see how it can enhance their projects. This hands-on learning experience will guide you through incorporating that knowledge into a Python API that seamlessly integrates with GenAI using LangChain. By the end of this lab, you'll have a solid understanding of how to leverage GenAI in your own projects.

Labs

Path Info

Level
Clock icon Beginner
Duration
Clock icon 25m
Published
Clock icon Dec 10, 2024

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Table of Contents

Jeff Hopper is a polyglot solution developer with over 20 years of experience across several business domains. He has enjoyed many of those years focusing on the .Net stack.

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.