Building AI Applications with OpenAI APIs

Building AI Applications with OpenAI APIs

位教师：Packt - Course Instructors

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12个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

12个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Develop a strong foundation in using OpenAI APIs for natural language processing tasks
Integrate ChatGPT with frameworks like Flask, Django, and Microsoft Office APIs
Implement payment systems using the ChatGPT API with Stripe

您将获得的技能

要了解的详细信息

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作业

12 项作业

授课语言：英语（English）

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该课程共有12个模块

This course focuses on integrating and leveraging OpenAI APIs to build real-world AI applications, with a focus on ChatGPT, DALL-E, and Whisper. It will help learners develop practical skills to apply AI models to NLP tasks, AI-generated art, and automated processes. By covering the most important AI development tools, the course provides a strong foundation for working with cutting-edge technology.

Throughout this course, you’ll dive into the core concepts and best practices of using OpenAI APIs. You’ll work on hands-on projects that integrate ChatGPT, Whisper, and DALL-E into real-world applications. Emphasizing practical experience, the course will take you through step-by-step tutorials that include code snippets, deployment techniques, and much more. What sets this course apart is its comprehensive, project-based approach. You won’t just learn the theory – you’ll also engage in creating real-world AI applications that can be deployed. We focus on desktop and web applications, ensuring you understand both the integration of APIs and the deployment process. This course is perfect for Python developers, software engineers, and anyone interested in AI development. A basic understanding of Python and APIs is required for the best learning experience.

In this section, we cover the ChatGPT API setup and basic response examples for NLP tasks.

涵盖的内容

2个视频4篇阅读材料1个作业

2个视频总计2分钟

Course Overview 1分钟
Getting Started with the ChatGPT API for NLP Tasks - Overview Video 1分钟

4篇阅读材料总计70分钟

Introduction 10分钟
Getting Started with the ChatGPT API 20分钟
Setting Up Your Python Development Environment 20分钟
A Simple ChatGPT API Response 20分钟

1个作业总计10分钟

Introduction to ChatGPT API and NLP Basics 10分钟

In this section, we build a ChatGPT clone with Flask and OpenAI API, focusing on real-time chat and context retention.

涵盖的内容

1个视频4篇阅读材料1个作业

In this section, we build a Flask-based SaaS app integrating ChatGPT for code error fixes and deploy it to Azure for global access.

涵盖的内容

1个视频4篇阅读材料1个作业

1个视频总计1分钟

Creating and Deploying a Code Bug-Fixing Application Using Flask - Overview Video 1分钟

4篇阅读材料总计80分钟

Introduction 20分钟
Using Text Areas and Containers 20分钟
Testing the Code Bug Fixer App 10分钟
Deploying the ChatGPT App to the Azure Cloud 30分钟

1个作业总计10分钟

Deploying and Enhancing a Bug-Fixing Web Application 10分钟

In this section, we integrate Stripe API for payment processing and set up a SQL database to track user activity and transactions in a ChatGPT application.

涵盖的内容

1个视频6篇阅读材料1个作业

1个视频总计1分钟

Integrating the Code Bug-Fixing Application with a Payment Service - Overview Video 1分钟

6篇阅读材料总计70分钟

Introduction 10分钟
Setting Up a SQL User Database 10分钟
Getting a Browser Fingerprint ID 10分钟
Implementing the Usage Counters 10分钟
Adding Payments to a ChatGPT Application 20分钟
Confirming User Payments 10分钟

1个作业总计180分钟

Securing and Managing Payment Integrations 180分钟

In this section, we build a quiz generation app using Django and ChatGPT, focusing on AI integration, database storage, and practical web development techniques.

涵盖的内容

1个视频6篇阅读材料1个作业

1个视频总计1分钟

Quiz Generation App with ChatGPT and Django - Overview Video 1分钟

6篇阅读材料总计120分钟

Introduction 20分钟
Creating the Exam App Frame and Views 10分钟
Developing Django Templates 20分钟
Running Your Django Application 20分钟
Creating ChatGPT API Views with Django 20分钟
Storing and Downloading Generated Quizzes 30分钟

1个作业总计10分钟

Web Application Development with Django 10分钟

In this section, we explore building a language translation desktop app using ChatGPT API and Microsoft Word. Key concepts include API integration, Tkinter UI development, and NLP techniques for real-time document translation.

涵盖的内容

1个视频3篇阅读材料1个作业

In this section, we explore integrating Outlook API with GPT-4 to generate personalized email replies, using tkinter for a user-friendly interface and enhancing productivity through AI-driven automation.

涵盖的内容

1个视频3篇阅读材料1个作业

In this section, we explore building a PyQt desktop app with ChatGPT API integration, enabling essay generation and API token control for customized AI responses.

涵盖的内容

1个视频4篇阅读材料1个作业

1个视频总计1分钟

Essay Generation Tool with PyQt and the ChatGPT API - Overview Video 1分钟

4篇阅读材料总计50分钟

Introduction 10分钟
Building the Application GUI with PyQt 20分钟
Creating Essay Generation Methods with the ChatGPT API 10分钟
Controlling the ChatGPT API Tokens 10分钟

1个作业总计180分钟

Essay Generation with PyQt and ChatGPT 180分钟

In this section, we explore integrating DALL-E and ChatGPT APIs to automate PowerPoint creation.

涵盖的内容

1个视频1篇阅读材料1个作业

In this section, we explore using the Whisper API for speech-to-text conversion and multilingual translation, focusing on practical applications like voice transcription and long audio processing with PyDub.

涵盖的内容

1个视频2篇阅读材料1个作业

In this section, we explore selecting ChatGPT API models, optimizing chat completion parameters, and understanding AI model limitations for effective application development.

涵盖的内容

1个视频4篇阅读材料1个作业

In this section, we explore fine-tuning ChatGPT using JSONL data to create domain-specific models. Key concepts include dataset preparation, transfer learning, and deploying models for task-specific responses.