Hands-On OpenAI API: Building a Real-World Solution

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Rodrigo Díaz Concha

59:47

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01 - Introduction

01 - Building a real-world AI app.mp4

00:34

02 - What you need to know.mp4

01:48

03 - What you are going to build throughout this course.mp4

02:29

04 - Preparing the tools and development environment.mp4

01:35

02 - 1. Using the Audio API to Transcribe Audio and the Chat Completions API to Create Documents

01 - Extracting rich information from audio messages.mp4

00:37

02 - Installing the required library and preparing the code.mp4

01:53

03 - Transcribing the audio files by using the Audio API.mp4

03:29

04 - Creating the JSON document using the Chat Completions API.mp4

03:56

03 - 2. Building the KinderLogger Assistant with the Assistants API

01 - Bringing the KinderLogger assistant idea to life.mp4

00:30

02 - Creating the assistant using the Assitants API.mp4

04:08

03 - Creating a new conversation thread and adding a message.mp4

01:53

04 - Running and testing the conversation thread.mp4

02:39

04 - 3. Implementing a Retrieval Augmented Generation (RAG) Process in the Assistant

01 - Using private documents and data in the KinderLogger project.mp4

00:30

02 - Uploading the transcription files to the assistant.mp4

01:54

03 - Improving the assistant with prompt engineering techniques.mp4

02:49

04 - Using the assistant on the Assistants Playground.mp4

01:26

05 - 4. Implementing the Web API to Expose the Assistant

01 - Exposing the assistant as a service.mp4

00:35

02 - Creating the Web API using the FastAPI library.mp4

02:46

03 - Calling the assistant from the Web API.mp4

02:40

04 - Implementing logging in the Web API.mp4

03:09

05 - Building and publishing the Docker container image.mp4

02:13

06 - Deploying the Azure Container App for the service.mp4

03:22

06 - 5. Identifying Harmful Content Using the Moderations API

01 - Applying responsible AI practices in KinderLogger.mp4

00:28

02 - Implementing the Moderations API in the transcription app.mp4

01:07

03 - Implementing the Moderations API in the Web API.mp4

02:07

04 - Building a new image and updating the Azure Container App.mp4

01:48

07 - 6. Creating the KinderLogger GPT

01 - Using a GPT as a frontend for the KinderLogger project.mp4

00:28

02 - Creating the GPT and the action for invoking the service.mp4

03:28

03 - Testing the KinderLogger GPT.mp4

02:24

08 - Conclusion

01 - Next steps.mp4

01:02

Description

OpenAI stands at the forefront of AI, particularly when it comes to large language models (LLMs). If you’re a developer or business leader looking to leverage AI-powered tools, this course helps you to get up to speed with how to use OpenAI APIs to build solutions based on the retrieval-augmented generation (RAG) technique.

Join instructor Rodrigo Díaz Concha as he demonstrates a wide variety of solution-building options including using the Audio API to transcribe audio and the Chat Completions API to create documents. Test your new skills with a real-world project named KinderLogger by building an assistant using the Assistants API, implementing a retrieval-augmented generation (RAG) process in the assistant, and implementing a Web API using FastAPI to expose the assistant. Along the way, learn how to identify harmful content with the Moderations API, and create and use a GPT as a front end to invoke the service and test your KinderLogger project.

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Artificial Intelligence

Rodrigo Díaz Concha

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