LinkedIn – Hands-On OpenAI API: Building a Real-World Solution 2024-3

OpenAI API Hands-On Course: Building a Real-World Solution. This course teaches you how to use artificial intelligence (AI) capabilities using OpenAI APIs to build practical solutions based on the “Retrieval-Augmented Generation” (RAG) technique. use. OpenE is a leader in artificial intelligence, especially large language models (LLMs). In this course, instructor Rodrigo Díaz Concha will show you a range of solution building options, including using the Audio API to convert audio to text and the Chat Completion API to create documents. You will test your new skills with a real project called KinderLogger. In this project, you build an assistant using the Assistants API, implement a Recovery Augmented Manufacturing (RAG) process in it, and create a web API using FastAPI to make the assistant available. During the course you will also learn how to detect harmful content using the Content Moderation API and create and use a GPT as a user interface to call the service and test your KinderLogger project.

What you will learn:

• Using various open-source APIs to perform specific tasks such as converting audio to text and completing chats.
• Building a practical artificial intelligence assistant called KinderLogger.
• Implementation of Recovery Augmented Manufacturing (RAG) process in Asst.
• Create a web API to make the assistant available.
• Identify harmful content using the Content Moderation API.
• Building a user interface for the KinderLogger project using GPT.

This course is suitable for people who:

• There are developers who want to use artificial intelligence in their projects.
• There are business leaders looking for AI-based solutions to their problems.
• In general, they are interested in learning about artificial intelligence and its applications.