К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Code and framework based agent development · LearnSpace
Назад в каталог
courseraПрограммирование

Code and framework based agent development

Курс от Microsoft
Средний≈ 17 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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. By the end of this course, you will be able to: - Integrate Azure OpenAI Service for complex reasoning and implement prompt chaining strategies. - Develop professional conversational bots using Python and the Bot Framework. - Simplify AI orchestration by creating reusable plugins and memory systems with Semantic Kernel. - Connect agents to the Microsoft 365 ecosystem using the Microsoft Graph API for data access and report generation. - Implement production-ready features, including error handling, security, and cost-optimization.

Навыки, которые вы освоите

Code ReusabilityContext ManagementAuthenticationsMemory ManagementAI IntegrationsPrompt PatternsOpenAI APIAI WorkflowsAI OrchestrationTest Script DevelopmentSecure CodingAgentic WorkflowsToken Optimization

Программа курса

4 модулей · 62 учебных материалов

01Azure OpenAI service integration17 материалов

Azure OpenAI service integration and project setup

Course introductionВидеоCourse syllabusЧтениеThe power of advanced language modelsВидеоAzure OpenAI service architectureЧтение

Учитесь у экспертов

Microsoft

Преподаватель курса

Code and framework based agent development
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 17 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Пушту, Испанский, Дари, Японский

Часть программы вашего университета
Setting up Azure OpenAIВидео
Activity: Research agent foundation with OpenAIЗадание
Introduction to AI agents knowledge checkЗадание

Prompt engineering for specialized analysis

Prompt engineering as a disciplineВидеоAdvanced prompting patternsВидеоActivity: Research prompt workshopЗаданиеPrompt engineering for specialized analysis knowledge checkЗадание

Managing API costs and token usage

The economics of AI APIsВидеоOptimization strategiesЧтениеCost management implementationВидеоActivity: Cost monitoring and optimizationЗаданиеCoach: Cost optimization strategy sessionDIALOGUEOpenAI production graded quizЗадание
02Code-based agent development with Bot Framework and Python15 материалов

Python fundamentals for AI agents

Why Python for AI agentsВидеоPython agent architectureЧтениеBuilding your first Python botВидеоActivity: Python agent development bootcampЗаданиеBuilding with Azure AI Foundry's agents interface knowledge checkЗадание

Bot framework development with Python SDK

Bot framework architectureВидеоAdvanced bot developmentВидеоActivity: Research bot implementationЗаданиеBot framework development with Python SDK knowledge checkЗадание

Production-ready bot development

Production excellenceВидеоProfessional development practicesЧтениеBuilding production systemsВидеоActivity: Enterprise research bot with GitHub portfolioЗаданиеCoach: production readiness reviewDIALOGUEBot framework development and deployment graded quizЗадание
03Introduction to Semantic Kernel15 материалов

Semantic Kernel fundamentals

Why Semantic KernelВидеоSemantic Kernel architectureЧтениеBuilding with Semantic KernelВидеоActivity: Semantic Kernel foundationЗаданиеSemantic Kernel fundamentalsЗадание

Building plugins and skills

The plugin ecosystemВидеоPlugin development deep diveВидеоActivity: Research plugin developmentЗаданиеBuilding plugins and skills knowledge checkЗадание

Memory and context management

Memory in AI agentsЧтениеMemory implementation strategiesЧтениеBuilding memory systemsВидеоActivity: Memory implementationЗаданиеCoach: memory architecture design workshopDIALOGUESemantic Kernel development graded quizЗадание
04Microsoft ecosystem integration15 материалов

Microsoft Graph API basics

Graph API: your gateway to Microsoft 365ВидеоGraph API architectureЧтениеImplementing Graph APIВидеоActivity: Graph API integrationЗаданиеMicrosoft Graph API basics knowledge checkЗадание

Data integration and analysis

Enterprise data landscapeЧтениеData processing strategiesВидеоActivity: enterprise data connectorЗаданиеData integration and analysis knowledge checkЗадание

Report generation and portfolio showcase

Professional report generationЧтениеReport system architectureВидеоBuilding report systemsВидеоActivity: Report generator and career portfolioЗаданиеCoach: portfolio review and career planningDIALOGUEMicrosoft Graph API and professional development graded quizЗадание