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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-openai-apis-building-end-to-end-systems-arabic/
课程评论：没有评论
课程名称：掌握OpenAI API：构建端到端系统（阿拉伯语） 课程概述：欢迎参加由工程师Mohammed Agoor主持的课程《掌握OpenAI API：构建端到端系统》。在本课程中，我们将踏上探索OpenAI API的旅程，并学习如何最大限度地利用它们。OpenAI是一个美国的人工智能研究实验室，提供多种训练模型，用户可以通过密钥令牌访问这些模型，而无需进行任何训练、迁移学习或微调，也无需在自己的机器上运行。我们只需使用这个密钥令牌，通过发送请求来获得响应。 课程内容包括： 1. 创建OpenAI账户，熟悉平台。 2. 发现不同的OpenAI模型，逐一讨论。 3. 深入了解AI模型及其功能。 4. 获取API密钥，监控使用情况，设置账单等。 5. 实现文本补全API的编程及使用方法。 6. 实现聊天补全API的编程及使用方法。 7. 精通系统提示和用户提示的概念。 8. 探索聊天补全API中的不同消息角色。 9. 理解系统、用户和助手角色之间的区别。 10. 理解令牌及如何使用tokenizer或tiktoken库获取它们。 11. OpenAI平台中各种API的定价，使用情况的计算和监控。 12. 聊天补全API参数详解以及如何根据需求自定义请求。 13. 聊天补全API的提示工程及个性化请求设置。 14. 使用DALL-E进行图像生成API的实现。 15. 将聊天补全与DALL-E的API结合，优化提示和提高性能。 16. 使用Whisper进行不同语言的语音转录和翻译。 17. 从头到尾构建情感分析系统并使用FastAPI进行部署。 18. 从头到尾构建带记忆的聊天机器人端到端系统并使用FastAPI进行部署。 19. 从文本生成图像API使用DALL-E并使用FastAPI进行部署。 20. 基于聊天补全和DALL-E API构建的餐饮计划系统，并使用FastAPI进行部署。 21. 使用Whisper和聊天补全API构建的YouTube摘要系统，并使用FastAPI进行部署。 22. 嵌入技术及其在语义搜索中的应用。 23. 课程内容将持续添加更多主题。 无论您是一位人工智能爱好者、开发人员还是数据科学家，本课程都将使您掌握利用OpenAI模型进行人工智能应用所需的知识和实践技能。快来加入我们，踏上丰富的学习之旅，掌握OpenAI API和模型，以应对尖端人工智能项目。现在就注册吧！
Welcome to this course...This course is (Mastering OpenAI APIs: Building End-to-End Systems) in Arabic by Eng/Mohammed Agoor.In this course, we are going on a journey to discover all OpenAI APIs and how to get the best benefit from them.OpenAI is an American artificial intelligence research laboratory. It has a lot of trained models and we can access them only via Key Token, with no training, no transfer learning, no fine-tuning, and without running on our machines. We just use this key token and then we are able to use these models by sending a request and getting the response (via APIs).What we learn here is a lot, We will start by discussing the OpenAI platform, discovering Models, use different available APIs, and then we will dive together into building end-to-end Systems.You will master the following:1. Create an OpenAI account, and get familiar with the platform.2. Discover OpenAI Models, discussing each model alone.3. Diving deep into AI Models, What does each model do?4. How to get your API keys, monitor your usage, set up your billing, and more.5. Text Completion API in code, and how to use it.6. Chat Completion API in code, and how to use it.7. Mastering the idea of system prompt and user prompt8. Discovering different message roles in Chat Completion API.9. What is the difference between system, user, and assistant roles.10. The tokens and how to get them using tokenizer or tiktoken library.11. The pricing for each API in the OpenAI platform, and how to calculate and monitor your usage.12. In detail, The parameters of Chat Completion API, and how to customize your request for your needs.13. Prompt Engineering for Chat Completion API, and how to set up your personalization requests.14. Image Generation API using DALL-E15. How to combine Chat Completion with DALL-E APIs for refining the prompt and boosting the performance.16. Voice Transcription API using Whisper for different languages and also for Translation.17. Sentiment Analysis system from scratch up to deployment using FastAPI.18. ChatBot end-to-end system with memory from scratch up to deployment using FastAPI.19. Text to Image Generation API using Dall-E and deployment using FastAPI.20. Meals Plan System using both Chat Completion and DALL-E APIs and deployment using FastAPI.21. Youtube Summary system from scratch using whisper and Chat Completion API and deployment using FastAPI.22. Embedding and how to apply it in semantic search.23. More topics will be added to this course continuously.Whether you're an AI enthusiast, developer, or data scientist, this course will empower you with the knowledge and practical skills necessary to excel in utilizing OpenAI models for AI applications.Join us now and embark on an enriching learning journey that will set you on the path to mastering OpenAI APIs and models for cutting-edge AI projects.Enroll today!
