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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-application-development-with-openai-chatgpt-and-python/
课程评论：没有评论
OpenAI API 精通课程（Python 入门）- AI 应用开发 本课程“AI 应用开发：OpenAI、ChatGPT 与 Python”是一门综合性课程，旨在教授如何利用 OpenAI 的 API 和工具构建高级 AI 应用。您将深入了解大型语言模型 (LLM) 的基础知识，理解 ChatGPT 的发展历程，并通过实践掌握 OpenAI 在文本、图像和音频处理方面的能力。课程涵盖了提示工程、结构化数据生成和函数调用等核心主题，帮助您创建动态且交互式的 AI 解决方案。无论您是开发者、数据科学家还是 AI 爱好者，本课程都将为您提供使用 Python 和 OpenAI 开发尖端 AI 应用所需的知识和技能。 课程大纲： 1. **课程入门**：介绍课程内容、学习目标、环境设置、课程资料下载及资源获取。 2. **大型语言模型 (LLM)、OpenAI & ChatGPT 简介**：深入探讨 LLM，重点介绍 ChatGPT 的架构及其在 AI 语言处理领域的革命性影响。回顾 LLM 问世前的计算交互方式，以及 ChatGPT 发布后的演变。追溯 LLM 的发展历程，理解模型训练的复杂性。 3. **OpenAI API：迈向精通的第一步**：掌握使用 OpenAI API 的基本步骤，包括在 Mac 或 Windows 上设置环境、进行首次 API 调用。涵盖 Python 安装、使用 Poetry 或 pip 管理依赖、配置 OpenAI API 密钥以及通过 OpenAI 客户端与 GPT 模型交互。 4. **精通多模态：使用 OpenAI 创建和编辑图像**：学习如何利用 OpenAI 的能力生成和编辑图像。介绍 AI 多模态概念，结合文本和图像生成。探索图像创建、编辑以及如何运用 OpenAI 的变体功能提升创意。 5. **精通多模态：探索 OpenAI 的视觉能力**：深入了解 OpenAI 的视觉功能。学习如何通过 URL 分析图像、处理 Base64 编码的图像，并理解 OpenAI 视觉 API 的局限性。此部分知识有助于将视觉 AI 解决方案集成到您的项目中。 6. **精通多模态：使用 OpenAI 创建和处理音频**：探索 OpenAI 的音频数据处理方法，包括文本转语音、语音转文本以及使用 Whisper API 进行语言翻译。您将获得将书面文本转换为语音并将口语转录为文本的实践经验。 7. **提示工程**：学习如何精心设计提示，引导 AI 模型生成准确的输出。介绍零样本和少样本提示等各种提示技巧，以及如何构建提示以达到预期结果。此外，还将探讨如何保护提示免受注入攻击。 8. **使用 OpenAI 生成结构化数据**：了解如何利用 OpenAI 的 LLM 生成结构化数据。本部分包括提示工程技巧、使用 Pydantic 进行数据验证以及结构化输出的高级方法。您将学会如何在 Python 中高效地管理结构化数据，并将 Pydantic 与提示工程相结合以实现准确的数据生成。 9. **使用工具进行函数调用 (OpenAI)**：发现如何使用 OpenAI 进行函数调用，以与外部系统进行交互、检索实时数据以及构建交互式应用程序。您将学习如何将 OpenAI 连接到 API 以获取实时数据，如天气更新和股票价格，从而使您的 AI 应用程序更具动态性和响应性。 本综合课程将为您提供使用 OpenAI 强大的工具和 API 构建 AI 驱动应用程序所需的技能。加入我们，开启利用实践项目和真实世界示例，精通 AI 应用开发艺术的旅程。
"AI Application Development with OpenAI, ChatGPT, and Python" is a comprehensive course designed to teach you how to harness the power of OpenAI's APIs and tools to build advanced AI applications. You'll explore the fundamentals of Large Language Models (LLMs), understand the evolution of ChatGPT, and gain hands-on experience in using OpenAI's capabilities for text, image, and audio processing. The course covers essential topics such as prompt engineering, structured data generation, and function calling, enabling you to create dynamic and interactive AI solutions. Whether you're a developer, data scientist, or AI enthusiast, this course provides the knowledge and skills to develop cutting-edge AI applications using Python and OpenAI.1. Getting Started with the CourseThis section introduces the course, outlining what you can expect to learn and achieve by the end of it. We will cover how to set up your environment, download course materials, and access the resources needed to follow along.2. Introduction to Large Language Models (LLMs), OpenAI & ChatGPTDive into the world of LLMs with an in-depth look at OpenAI's ChatGPT, its architecture, and how it's revolutionizing AI-driven language processing. Explore the history of how we interacted with computers before LLMs and how it has evolved since the release of ChatGPT. You'll trace the evolution of LLMs and understand the complexities involved in training these models.3. OpenAI APIs: Your First Steps to MasteryMaster the essential steps for working with OpenAI APIs, from setting up your environment on Mac or Windows to making your first API requests. This section covers everything from installing Python, managing dependencies using Poetry or pip, configuring your OpenAI API key, and interacting with GPT models using OpenAI clients.4. Mastering Multimodality: Creating and Editing Images with OpenAILearn how to leverage OpenAI's capabilities to generate and edit images. This section introduces you to multimodality in AI, combining text and image generation. You'll explore how to create images, edit them, and use OpenAI's variation functions to enhance creativity.5. Mastering Multimodality: Exploring Vision Capabilities with OpenAIDelve into the vision capabilities of OpenAI. You'll learn how to analyze images using URLs, process base64-encoded images, and understand the limitations of OpenAI's Vision API. This knowledge will help you integrate vision-based AI solutions into your projects.6. Mastering Multimodality: Creating and Processing Audio with OpenAIExplore how OpenAI handles audio data, including text-to-speech conversion, speech-to-text transcription, and language translation using the Whisper API. You will gain hands-on experience in converting written text into speech and transcribing spoken language into text.7. Prompt EngineeringThis section covers the art of crafting prompts to guide AI models in generating accurate outputs. You'll learn about various prompting techniques, including zero-shot and few-shot prompting, and how to structure prompts to achieve desired results. You'll also explore how to protect prompts from injection attacks.8. Generating Structured Data with OpenAIUnderstand how to generate structured data using OpenAI's LLMs. This section includes prompt engineering techniques, using Pydantic for data validation, and advanced methods for structured outputs. You'll learn how to manage structured data in Python efficiently and how to combine Pydantic with prompt engineering for accurate data generation.9. Function Calling using Tools with OpenAIDiscover how to use OpenAI for function calling to interact with external systems, retrieve real-time data, and build interactive applications. You'll learn how to connect OpenAI to APIs for real-time data, such as weather updates and stock prices, making your AI applications more dynamic and responsive.This comprehensive course will equip you with the skills needed to build AI-powered applications using OpenAI's powerful tools and APIs. Join us as we embark on this journey to master the art of AI application development with hands-on projects and real-world examples.
