Azure OpenAI生成式AI实战：构建GPT智能助手全指南_CG群

本课程是Azure OpenAI生成式AI实战指南，讲解企业级资源配置、GPT多模态部署、提示词工程与API对接，并带你构建AI智能助手，掌握Token计费、密钥安全与负责任AI治理。

原始标题：Azure OpenAI and Generative AI: Build AI Assistants with GPT

Azure OpenAI and Generative AI: Build AI Assistants with GPT

本课程是一门针对云端及软件开发者的 Azure OpenAI 与生成式 AI 落地实战指南。课程采用清晰的 AI 语音导航，带你打破纯理论局限，从认知大语言模型（LLM）快速平移到 Azure Portal 与 Microsoft Foundry 的企业级资源配置、订阅管理及 GPT 多模态模型的实际部署；核心攻克提示词工程（Prompt Engineering）的系统级设计，并指导你通过 Postman 徒手对接 Azure OpenAI API 以 programmatic 的方式管理上下文账本；最终，你将串联所有技术栈，从底层定义并构建出一个具备实际业务场景的 AI 智能助手（AI Assistant），同时深度掌握企业刚需的 Token 计费成本控制、API 密钥安全防护以及防幻觉的负责任 AI 治理规范。

Build Powerful AI Assistants with Azure OpenAI, GPT Models, Prompt Engineering, and Generative AI

What you’ll learn
⚡ Understand generative AI, large language models, and the fundamentals of Azure OpenAI Service
⚡ Explore the benefits, applications, and capabilities of Azure OpenAI within the Azure AI ecosystem
⚡ Create and configure an Azure OpenAI resource using Azure and Microsoft Foundry
⚡ Understand Azure subscriptions, resource groups, and AI model deployment

Requirements
❗ Familiarity with Microsoft Azure concepts is beneficial
❗ Basic understanding of cloud computing and web-based applications is helpful but not mandatory
❗ Basic understanding of APIs and JSON is recommended for the hands-on exercises
❗ No prior experience with Azure OpenAI or generative AI is required

DescriptionAzure OpenAI & Generative AI: Build AI Assistants with GPT is a practical course designed to introduce learners to Azure OpenAI Service and the fundamentals of building AI-powered assistants using GPT and generative AI technologies. The course combines foundational concepts with hands-on activities to help participants understand how AI models can be deployed, configured, and integrated into applications.

The course begins with an introduction togenerative AI, large language models, and Azure OpenAI Service. Learners will understand what Azure OpenAI offers, how it fits within the broader Azure AI ecosystem, and how organizations can use GPT-powered technologies for different business and application scenarios.

Please note, we have used AI-generated audio for this course to provide clear, consistent, and easy-to-follow narration throughout your learning journey.

Participants will then learn how to get started with Azure OpenAI through theAzure Portal and Microsoft Foundry. The course covers Azure subscriptions, resource groups, resource creation, and model deployment, giving learners a practical foundation for working with Azure-based AI services.

A major focus is placed onunderstanding and deploying AI models. Learners will explore GPT models along with text and multimodal models and understand how to select an appropriate model based on the requirements of a particular use case. The Azure OpenAI Chat Playground provides an environment for experimenting with models and understanding their capabilities.

The course also introducesprompt engineering, an essential skill for working effectively with generative AI. Participants will learn how system and user messages influence model behavior and how to write clear, effective prompts. They will also explore calling Azure OpenAI APIs with Postman and managing conversation context when interacting with AI models programmatically.

A hands-on focus is placed onAI assistant development. Learners will understand how to define the purpose of an AI assistant and connect the concepts covered throughout the course to an assistant-building project. This provides a practical foundation for developing AI-powered solutions using Azure OpenAI and GPT.

The course also emphasizesresponsible AI, security, and cost management. Participants will learn about hallucinations and safe AI usage, protecting API keys and credentials, understanding token consumption, managing pricing considerations, and using Azure resources responsibly.

By the end of the course, learners will have a solid foundation in Azure OpenAI Service, GPT models, generative AI, prompt engineering, API interaction, and AI assistant development. They will also understand the key security, responsible AI, and cost considerations required when working with Azure-based generative AI solutions.

Who this course is for
⭐ AI and Machine Learning Enthusiasts who want hands-on experience with large language models (LLMs), prompt engineering, and practical AI application development.
⭐ Azure and Cloud Professionals who want to expand their skills in Microsoft Azure, AI services, and cloud-based generative AI solutions.
⭐ Software Developers and Engineers who want to integrate GPT-based capabilities into their existing applications using Azure OpenAI services and APIs.
⭐ Aspiring Generative AI Developers who want to learn how to build AI-powered assistants and applications using Azure OpenAI and GPT models.

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