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Code and framework based agent development

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Code and framework based agent development

Ce cours fait partie de Certificat Professionnel Microsoft AI Agents: From Foundations to Applications

Instructeur : Microsoft

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

Catégorie : Token Optimization
Catégorie : Authentications
Catégorie : Memory Management
Catégorie : Test Script Development
Catégorie : Context Management
Catégorie : AI Integrations
Catégorie : Secure Coding
Catégorie : Code Reusability
Catégorie : Prompt Patterns

Outils que vous découvrirez

Catégorie : Agentic Workflows
Catégorie : AI Workflows
Catégorie : OpenAI API
Catégorie : AI Orchestration

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

décembre 2025

Évaluations

24 devoirs

Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Ce cours fait partie de la Certificat Professionnel Microsoft AI Agents: From Foundations to Applications

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à ce Certificat Professionnel.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable auprès de Microsoft

Il y a 4 modules dans ce cours

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.

Détails du module

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.

Inclus

7 vidéos3 lectures6 devoirs

7 vidéosTotal 28 minutes

Course introduction4 minutes
The power of advanced language models3 minutes
Setting up Azure OpenAI5 minutes
Prompt engineering as a discipline4 minutes
Advanced prompting patterns6 minutes
The economics of AI APIs3 minutes
Cost management implementation4 minutes

3 lecturesTotal 30 minutes

Course syllabus10 minutes
Azure OpenAI service architecture10 minutes
Optimization strategies10 minutes

6 devoirsTotal 180 minutes

OpenAI production graded quiz30 minutes
Activity: Research agent foundation with OpenAI45 minutes
Introduction to AI agents knowledge check15 minutes
Activity: Research prompt workshop45 minutes
Prompt engineering for specialized analysis knowledge check15 minutes
Activity: Cost monitoring and optimization30 minutes

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.

Inclus

6 vidéos2 lectures6 devoirs

6 vidéosTotal 29 minutes

Why Python for AI agents5 minutes
Building your first Python bot5 minutes
Bot framework architecture3 minutes
Advanced bot development5 minutes
Production excellence5 minutes
Building production systems6 minutes

2 lecturesTotal 20 minutes

Python agent architecture10 minutes
Professional development practices10 minutes

6 devoirsTotal 210 minutes

Bot framework development and deployment graded quiz30 minutes
Activity: Python agent development bootcamp45 minutes
Building with Azure AI Foundry's agents interface knowledge check15 minutes
Activity: Research bot implementation45 minutes
Bot framework development with Python SDK knowledge check15 minutes
Activity: Enterprise research bot with GitHub portfolio60 minutes

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.

Inclus

5 vidéos3 lectures6 devoirs

5 vidéosTotal 21 minutes

Why Semantic Kernel4 minutes
Building with Semantic Kernel5 minutes
The plugin ecosystem3 minutes
Plugin development deep dive5 minutes
Building memory systems4 minutes

3 lecturesTotal 30 minutes

Semantic Kernel architecture10 minutes
Memory in AI agents10 minutes
Memory implementation strategies10 minutes

6 devoirsTotal 180 minutes

Semantic Kernel development graded quiz30 minutes
Activity: Semantic Kernel foundation30 minutes
Semantic Kernel fundamentals15 minutes
Activity: Research plugin development45 minutes
Building plugins and skills knowledge check15 minutes
Activity: Memory implementation45 minutes

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.

Inclus

5 vidéos3 lectures6 devoirs

5 vidéosTotal 18 minutes

Graph API: your gateway to Microsoft 3653 minutes
Implementing Graph API5 minutes
Data processing strategies3 minutes
Report system architecture3 minutes
Building report systems4 minutes

3 lecturesTotal 30 minutes

Graph API architecture10 minutes
Enterprise data landscape10 minutes
Professional report generation10 minutes

6 devoirsTotal 180 minutes

Microsoft Graph API and professional development graded quiz30 minutes
Activity: Graph API integration45 minutes
Microsoft Graph API basics knowledge check15 minutes
Activity: enterprise data connector45 minutes
Data integration and analysis knowledge check15 minutes
Activity: Report generator and career portfolio30 minutes

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