This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.
Duration - 10 Hours
Level - Intermediate
Style - Self paced
Course Type - Credential Ready
Certification - Yes
Hands on Labs - No
Solution Areas - Cloud & AI Platform, Innovate with Azure AI Apps and Agents
Featured Product - Microsoft Azure, Microsoft Foundry
In this introductory module, we will walk you through the key information you need to know before starting your certification prep course. You'll gain a clear understanding of the steps, expectations, and benefits.
In this module you will get introduced to the fundamentals of building generative AI applications on Azure. You will learn how to plan AI solutions, select and deploy Microsoft Foundry models, and develop a functional AI chat application. We will also cover integrating tools to enhance app capabilities and optimizing model performance for better outcomes. By the end, you will have a clear understanding of creating efficient, scalable generative AI solutions within the Azure ecosystem.
This module focuses on building intelligent AI agents using Azure and Microsoft Foundry. You will learn how to integrate custom and MCP tools, enhance agents with knowledge using Foundry IQ, and connect them with Microsoft 365 for real-world use cases. The session also covers designing agent-driven workflows and developing agents using the Microsoft Agent Framework. By the end, you will understand how to create scalable, connected AI agents that automate tasks and drive business productivity.
This module explores how to build intelligent applications that understand and interact using natural language. You will learn to analyze text using Azure Language in Foundry Tools, develop text analysis agents, and create speech-enabled AI applications. The session also covers building speech-capable solutions and integrating Azure Speech MCP server to develop conversational agents. By the end, you will gain practical insights into designing AI solutions that leverage text and speech for more natural and engaging user experiences.
This module focuses on leveraging Azure AI to extract insights from visual data. You will learn how to build vision-enabled generative AI applications, generate images and videos, and analyze visual and document-based content using Content Understanding. The session also introduces creating knowledge mining solutions with Azure AI Search to unlock valuable insights from unstructured data. By the end, you will understand how to design AI solutions that effectively interpret and utilize visual information for real-world applications.
In this exam preparation module, learn effective preparation strategies for the certification exam, including sample questions and study tips.
Take this practice test to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.
If you have further questions or need additional support, this module provides everything you need to know.
You can now mark your course completion on your Microsoft Learn profile using your Achievement Code. Redeeming your code will add your achievement to your profile and help track your learning progress, badges, and certification readiness.