OpenAI API for Python Developers

Course details

Ever since the launch of ChatGPT and the release of new modeling languages by OpenAI in 2022, there has been a growing interest within the wider tech community to explore the potential of multiple applications of generative AI in software and web development. In this course, join instructor Sandy Ludosky to get up to speed quickly with the latest tools and technologies, with hands-on training and exercise challenges along the way.

Learn how to use generative AI to create next-generation Python applications including your own chatbot application. Sandy shows you how to start experimenting with other generative models such as DALL-E and the Whisper Audio API as well as how to extend LLM capabilities with function calling and build a custom-knowledge chatbot using LangChain, embeddings, and ChromaDB.

Concepts

0. Introduction

01 - AI integration with Python

1. Introducing Generative AI - What You Need to Know

02 - Generative AI - The future of development
03 - Generative AI - Genesis and evolution
04 - What you should know
05 - What tools you need

2. Generative AI - The Key Concepts and Getting Started

06 - Getting started with OpenAI - Create an account
07 - Getting started with OpenAI - The key concepts
08 - Start a new project - Quickstart
09 - Configure the project - Set up an API key
10 - Defining prompts and making requests

3. ChatGPT API - Build a Chatbot Application

11 - Introduction to conversational AI
12 - Project setup and overview
13 - Authentication and configuration
14 - Define a system message with instructions
15 - Making requests and generating chat completions
16 - Challenge - Create a funny chatbot
17 - Solution - Create a funny chatbot - part 1
18 - Solution - Create a funny chatbot - part 2

4. Experimenting with Other Generative Models

19 - Introducing the Moderation API
20 - Add a moderation layer
21 - Text to image - Introducing the DALL E model
22 - Generate creative art with DALL E
23 - Create an image gallery with DALL E
24 - Whisper Audio API - Speech-to-text
25 - Whisper Audio API - Transcribe audio samples
26 - Whisper Audio API - Translate audio sample

5. Extending the LLM Capabilities with Function Calling

27 - Introduction to OpenAI function calling
28 - Define functions and parameters
29 - Call functions
30 - Challenge - Connect to a public API
31 - Solution - Call functions and generate extended responses

6. Building a Custom-Knowledge Chatbot with LangChain, Embeddings, and ChromaDB

32 - Getting started with LangChain
33 - LangChain key concepts
34 - Chain components (LCEL)
35 - Load and split documents
36 - Create a vector store and embeddings (Chroma)
37 - Run chains - Knowledge retrieval and content generation
38 - Create a user interface with Streamlit

Conclusion

39 - Last words and next steps