AI agent fundamentals with Azure AI Foundry

Overview

This course is for developers ready to learn about AI agent development. You'll move from foundational programming concepts to building and deploying intelligent agents without needing deep machine learning knowledge. You'll use the Azure AI Foundry platform to create a portfolio-ready hotel information agent that handles real-world guest inquiries. By the end of this course, you will be able to: - Build, configure, and deploy a functional AI agent using Azure AI Foundry. - Integrate multiple AI services (Chat, Language, Vision, Speech) to enhance agent capabilities. - Apply prompt engineering and conversation management for accurate, safe, and effective agents. - Implement comprehensive testing, deployment strategies, and API integrations. - Create a professional GitHub portfolio showcasing your agent development skills.

Syllabus

Understanding AI agents and Azure AI Foundry

Discover what makes AI agents different from traditional automation through hands-on exploration of real-world examples and Azure AI Foundry's powerful interfaces. You'll set up your development environment, test diverse AI capabilities across chat, vision, and speech, and create your first customized AI interaction.

Building your hotel information agent

Transform from AI explorer to agent builder as you design and develop a fully functional hotel information assistant using professional development practices. Use configuration settings, prompt engineering techniques, and conversation management to create an agent that handles real guest inquiries with accuracy and appropriate boundaries.

Enhancing your agent with AI services

Elevate your hotel agent from basic Q&A to intelligent assistant by integrating Azure's language understanding, knowledge search, and multi-service capabilities. You'll implement intent recognition, connect knowledge bases for accurate information retrieval, and design workflows that combine translation, sentiment analysis, and vision services.

Professional agent development

Prepare your agent for the real world by implementing comprehensive testing strategies, understanding deployment options, and building your professional portfolio. You'll create test suites, explore API integration approaches, and compile a GitHub repository that showcases your journey from AI novice to capable agent developer.