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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-applied-skills-develop-generative-ai-solutions-azure-openai/
课程评论：没有评论
课程名称：使用 Azure OpenAI 开发生成性 AI 解决方案 课程概述：本课程将讲解为获得 Microsoft 应用技能认证所需的所有技能，具体为开发与 Azure OpenAI Service 结合的生成性 AI 解决方案。虽然这些技能仍然适用，但需要注意的是，Microsoft 应用技能认证已于 2024 年 10 月 31 日停止提供。本课程已根据 2024 年 6 月更新的学习指南进行了调整。请注意，此课程与 Microsoft 没有关联、认可或赞助。 课程反馈： - Antonina 表示：“这是一个适合初学者的精彩课程，谢谢！” - Steven 提到：“这是一个良好的 Python 和 C# 使用 Microsoft Azure AI 服务的入门介绍。Philip 是一位出色的讲师，讲解清晰简明，课程中有很好的示例和练习。” 课程内容： 在这个为期 3 小时的课程中，我们将涵盖获得 APL-3006 Microsoft 应用技能认证所需的技能，并将帮助准备 Microsoft 考试 AI-102“设计和实施 Microsoft Azure AI 解决方案”。您将学习的任务包括： 1. 部署 Azure OpenAI 资源和模型：使用免费试用创建 Azure 账户，申请权限并创建 Azure OpenAI 资源，部署 GPT-3.5-turbo 模型（这是 ChatGPT 背后的技术）。 2. 生成自然语言响应：使用 Azure OpenAI 生成自然语言响应，使用 GPT Chat 游乐场发送提示并接收回应，并用 Visual Studio Code 编写 Python 和 C# 代码。 3. 应用提示工程技术：通过改进提示的主要和辅助内容、线索、系统和助手消息、思路链提示等技术来提升提示质量。 4. 生成并改进代码：使用 Azure OpenAI 创建和修改 Python、C# 和 SQL 代码，并加入区段分隔符、注释和单元测试。 5. 使用 DALL-E 生成图像：根据提示创建图像，并用 Python 和 C# 的代码在程序中生成图像。 6. 在您的数据上使用 Azure OpenAI：将 PDF 上传到 GPT-3.5-turbo 模型，以提供更新的信息或公司文档供模型使用。 课程中包含多个练习活动和测验，确保您在学习过程中能够巩固知识。完成课程后，您将更加自信于使用 GPT、ChatGPT 或 DALL-E 开发 Azure OpenAI 服务的生成性 AI 解决方案。
This course goes through all of the skills which were required for the Microsoft Applied Skills: Develop generative AI solutions with Azure OpenAI Service. While the skills are still relevant, please note - this Microsoft Applied Skill was discontinued on October 31, 2024.This course has been updated in line with the expanded Study Guide (June 2024).Please note: This course is not affiliated with, endorsed by, or sponsored by Microsoft.What do people like you say about this course?Antonina says: Great course for beginners, thank you!Steven says: Good intro to using Python and C# to interact with Microsoft Azure AI services. Philip is a terrific instructor, clear and concise. Course has good examples & exercises.In this 3 hour course we'll cover the skills that were needed for the APL-3006 Microsoft Applied Skills credential for generative AI. It will also help with the Microsoft exam AI-102 "Designing and Implementing a Microsoft Azure AI Solution".The tasks that you need to perform to get this skill are:Deploy an Azure OpenAI resource and an Azure OpenAI model. We'll create an Azure account using a free trial, and then apply for permission to create and Azure OpenAI resource. Once that permission is generated, we'll create the resource, and deploy a GPT-3.5-turbo model (this is the technology behind ChatGPT) in the Azure OpenAI Studio.Generate natural language responses by using Azure OpenAI. We'll use the GPT Chat playground to send prompts and receive responses. We will also download Visual Studio Code and write code in Python and C#.Apply prompt engineering techniques by using Azure OpenAI. We'll improve the quality of the prompts with Primary and Supporting Content, cues, system and assistant messages, chain of thought prompting, and more, with our GPT Playground (or ChatGPT).Generate and improve code by using Azure OpenAI. We'll create and amend Python, C# and SQL code, using section dividers, comments, and unit tests.Generate images with DALL-E in Azure OpenAI. We'll create images based on prompts, and write code in Python and C# to generate it in our program.Use Azure OpenAI on your data. We'll upload PDFs into our GPT-3.5-turbo model, which will provide updated information or company documents for our GPT model to use.There are several Practice Activities and quizzes throughout the course, so you can be sure that you are learning. By the end of the course, you'll be much more confident about developing generative AI solutions with Azure OpenAI Service, using GPT, ChatGPT or DALL-E.
