This course is designed to transition experienced developers into AI agent specialists through intensive, hands-on coding. You'll build production-ready systems by using AI frameworks and integrating advanced language models. You'll benefit by learning to build secure, cost-optimized agents and connect them to the Microsoft 365 ecosystem.
Code and framework based agent development
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作业
24 项作业
授课语言：英语（English）
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本课程是 Microsoft AI Agents: From Foundations to Applications 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
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该课程共有4个模块
Learn to integrate language models by utilizing GPT-4 for complex reasoning and implementing sophisticated prompt engineering strategies. You'll build cost management systems using Azure Monitor, optimize token usage, and create sustainable AI development practices that balance capability with budget.
涵盖的内容
7个视频3篇阅读材料6个作业
Learn professional agent development by building sophisticated conversational bots using Python and Bot Framework with production-ready practices. You'll implement proper error handling, testing with pytest, security measures, and create a portfolio-worthy GitHub repository demonstrating your full-stack AI capabilities.
涵盖的内容
6个视频2篇阅读材料6个作业
Simplify AI orchestration using Semantic Kernel to create reusable plugins and implement memory systems for your agents. You'll build market research capabilities through composable functions, understand memory architecture for context retention, and compare SK's advantages over traditional development approaches.
涵盖的内容
5个视频3篇阅读材料6个作业
Connect your agents to the enterprise by implementing Microsoft Graph API for file access and building data integration pipelines. You'll create automated report generation systems, process data from multiple sources, and compile a comprehensive portfolio showcasing your evolution from basic agents to integrated enterprise solutions.
涵盖的内容
5个视频3篇阅读材料6个作业
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