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所在平台: Udemy |
课程主页: https://www.udemy.com/course/how-to-use-chatgpt-and-openai-api-for-developers/
课程评论：没有评论
课程名称：掌握OpenAI与Google Gemini API：构建AI应用程序 课程概述：准备好构建强大的应用程序，利用领先的大型语言模型吗？本综合课程为开发人员提供了实际技能，帮助他们利用OpenAI API生态系统以及Google Gemini和翻译API。超越理论，学习如何将尖端AI功能集成到项目中，从设置、提示工程到微调和部署。我们覆盖了基本概念，并提供实践示例，以确保您能够自信地构建真实世界的AI解决方案。无论您想创建智能聊天机器人、自动化内容创作、翻译语言、生成图像，还是利用计算机视觉分析数据，本课程都提供了明确的路线图。 在本课程中，您将掌握： - LLM与提示工程基础知识：理解转换器、高级提示工程（零样本/少样本、思维链、框架、评估）、RAG、AI代理及开放与闭源模型。 - OpenAI API设置与架构：获取您的OpenAI API密钥，设置环境，理解定价/限制，并掌握AI应用程序架构的基本原则。 - 核心OpenAI API（文本与聊天）：利用completions API和chat completion API进行翻译、总结、情感分析、分类以及构建互动聊天机器人（包括财务报表分析项目）。 - OpenAI多模态API：将图像生成（DALL-E）、文本转语音（TTS）和计算机视觉（GPT-4V）功能集成到您的应用中，并提供实践示例（手机壁纸、博客文章转录、卡路里计数）。 - Google Gemini与翻译API：通过AI Studio与Colab入门Google Gemini API，探索大型上下文窗口的用例，并利用Google翻译API进行基本和高级翻译任务（包括字幕翻译项目）。 - 构建RAG管道：从零开始实施检索增强生成（RAG），使大型语言模型的响应建立在外部数据之上。 - 微调与部署：学习微调的概念，使用OpenAI API微调模型，使用GPT Builder，并了解如何部署AI应用程序。 - AI伦理：讨论负责任的AI开发的关键注意事项和禁忌。 本课程旨在针对希望构建实用AI应用程序的开发人员、工程师和技术人员。到课程结束时，您将具备有效且道德地利用OpenAI和Google AI生态系统的能力。立即报名，开始构建下一代AI驱动的应用程序！
Ready to build powerful applications fueled by leading Large Language Models? This comprehensive course provides developers with the practical skills to harness the OpenAI API ecosystem and the Google Gemini & Translate APIs. Go beyond theory and learn to integrate cutting-edge AI capabilities into your projects, from setup and prompt engineering to fine-tuning and deployment.We cover the essential concepts and provide hands-on examples to ensure you can confidently build real-world AI solutions. Whether you want to create intelligent chatbots, automate content creation, translate languages, generate images, or analyze data with computer vision, this course provides the roadmap.In this course, you will master:LLM & Prompt Engineering Fundamentals: Understand Transformers, advanced Prompt Engineering (Zero/Few-Shot, Chain of Thought, Frameworks, Evaluation), RAG, AI Agents, and Open vs Closed Source Models.OpenAI API Setup & Architecture: Get your OpenAI API Key, set up your environment, understand pricing/limits, and grasp essential AI Application Architecture principles.Core OpenAI APIs (Text & Chat): Utilize the Completions API and Chat Completion API for tasks like translation, summarization, sentiment analysis, classification, and building interactive chatbots (including a financial statement analysis project).OpenAI Multimodal APIs: Integrate Image Generation (DALL-E), Text-to-Speech (TTS), and Computer Vision (GPT-4V) capabilities into your applications with practical examples (phone wallpapers, blog post transcription, calorie counting).Google Gemini & Translate APIs: Get started with the Google Gemini API via AI Studio & Colab, explore Large Context Window use cases, and leverage the Google Translate API for basic and advanced translation tasks (including a subtitle translation project).Building RAG Pipelines: Implement Retrieval Augmented Generation (RAG) from scratch to ground LLM responses in external data.Fine-Tuning & Deployment: Learn the concepts of Fine-Tuning, fine-tune a model using the OpenAI API, use GPT Builder, and understand how to deploy an AI application.AI Ethics: Discuss the crucial dos and don'ts of responsible AI development.This course is designed for developers, engineers, and technical individuals aiming to build practical AI applications. By the end, you'll possess the skills to leverage the OpenAI and Google AI ecosystems effectively and ethically.Enroll today and start building the next generation of AI-powered applications!
