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שתתחיל

מתחיל 6 June 2026 12:08

נגמר 6 June 2026

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Code and framework based agent development

Master production-ready AI agent development using Azure OpenAI, Bot Framework, and Semantic Kernel to build secure, cost-optimized systems integrated with Microsoft 365.
Microsoft via Coursera

Microsoft

2874 קורסים


15 hours 26 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Paid Course

שדרוג אופציונלי זמין

סקירה כללית

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.

סילבוס

  • Azure OpenAI service integration
  • 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.
  • Code-based agent development with Bot Framework and Python
  • 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.
  • Introduction to Semantic Kernel
  • 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.
  • Microsoft ecosystem integration
  • 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.

נלמד על ידי

Microsoft


נושאים

Artificial Intelligence