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.

您将获得的技能
要了解的详细信息

添加到您的领英档案
24 项作业
December 2025
了解顶级公司的员工如何掌握热门技能

积累 Design and Product 领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 Microsoft 获得可共享的职业证书

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
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.








