Please complete your modules and practice assessment as soon as possible. Vouchers are limited.
Please complete your modules and practice assessment as soon as possible. Vouchers are limited.
Candidates for this Microsoft Certification should be adept at using generative AI productivity tools and core Microsoft 365 apps to enhance business outcomes and decision-making, without requiring coding or app development skills.
Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction.
Take the practice exam to test your knowledge and confirm your readiness for your certification. Passing the practice assessment with 70%+ is required before you can claim your free YES x Microsoft certification voucher.
You must complete every module within the below learning paths and pass the practice exam to qualify for the free certification voucher. Vouchers are limited so hurry and complete your courses within the next few days!
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you’ll use and creating an optimal working environment for your development team.
Choose the various language models that are available through the Microsoft Foundry’s model catalog. Understand how to select, deploy, and test a model, and to improve its performance.
Use the Microsoft Foundry SDK to develop AI applications with Microsoft Foundry projects.
Learn about how to use prompt flow to develop applications that leverage language models in the Microsoft Foundry.
Retrieval Augmented Generation (RAG) is a common pattern used in generative AI solutions to ground prompts with your data. Microsoft Foundry provides support for adding data, creating indexes, and integrating them with generative AI models to help you build RAG-based solutions.
Train a base language model on a chat-completion task. The model catalog in Microsoft Foundry offers many open-source models that can be fine-tuned for your specific model behavior needs.
Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.
Evaluating copilots is essential to ensure your generative AI applications meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your generative AI applications using the tools and features available in the Azure AI Studio.
1AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.
This module provides engineers with the skills to begin building agents with Microsoft Foundry Agent Service.
Learn how to build, test, and deploy AI agents using the Microsoft Foundry extension in Visual Studio Code.
Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use.
Break down complex tasks with intelligent collaboration. Learn how to design multi-agent solutions using connected agents.
Enable dynamic tool access for your Azure AI agents. Learn how to connect MCP-hosted tools and integrate them seamlessly into agent workflows.
This module provides engineers with the skills to begin building Microsoft Foundry Agent Service agents with Microsoft Agent Framework.
Learn how to use the Microsoft Agent Framework SDK to develop your own AI agents that can collaborate for a multi-agent solution.
Learn how to implement the A2A protocol to enable agent discovery, direct communication, and coordinated task execution across remote agents.
Workflows enable you to orchestrate AI agents and other components to create intelligent applications. Learn how to build and manage workflows using Microsoft Foundry.
Learn how to connect AI agents with enterprise knowledge using Foundry IQ. You’ll explore how Retrieval Augmented Generation (RAG) solves the knowledge problem for AI agents, discover how Foundry IQ provides a shared knowledge platform that multiple agents can access, improve retrieval quality through data optimization, and configure agent instructions for consistent, cited responses.
The Azure Language service enables you to create intelligent apps and services that extract semantic information from text.
The question answering capability of the Azure Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.
The Azure Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.
The Azure Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.
Build a custom entity recognition solution to extract entities from unstructured documents
The Translator service enables you to create intelligent apps and services that can translate text between languages.
The Azure Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis
Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.
A voice carries meaning beyond words, and audio-enabled generative AI models can interpret spoken input to understand tone, intent, and language. Learn how to build audio-enabled chat apps that listen and respond to audio.
Learn how to develop an Azure AI Voice Live agent using the Voice Live API and SDK. This module covers the fundamentals of the Voice Live platform, including API integration, SDK usage, and building conversational AI agents.
With the Azure Vision service, you can use pre-trained models to analyze images and extract insights and information from them.
The Azure Vision Image Analysis service uses algorithms to process images and return information. This module teaches you how to use the Image Analysis API for optical character recognition (OCR).
The ability for applications to detect human faces, analyze facial features and emotions, and identify individuals is a key artificial intelligence capability.
Image classification is used to determine the main subject of an image. You can use the Azure AI Custom Vision services to train a model that classifies images based on your own categorizations.
Object detection is used to locate and identify objects in images. You can use Azure AI Custom Vision to train a model to detect specific classes of object in images.
Azure Video Indexer is a service to extract insights from video, including face identification, text recognition, object labels, scene segmentations, and more.
A picture says a thousand words, and multimodal generative AI models can interpret images to respond to visual prompts. Learn how to build vision-enabled chat apps.
In Microsoft Foundry, you can use image generation models to create original images based on natural language prompts.
Use Azure Content Understanding for multimodal content analysis and information extraction.
Use the Azure Content Understanding REST API for multimodal content analysis and information extraction.
Learn what data you can analyze by choosing prebuilt Forms Analyzer models and how to deploy these models in a Document intelligence solution.
Document intelligence uses machine learning technology to identify and extract key-value pairs and table data from form documents with accuracy, at scale. This module teaches you how to use the Azure Document intelligence cognitive service.
Unlock the hidden insights in your data with Azure AI Search. In this module, you’ll learn how to implement a knowledge mining solution that extracts and enriches data, making it searchable and ready for deeper analysis.
Take the practice exam to test your knowledge and confirm your readiness for certification. Passing the practice assessment with 70%+ is required before you can claim your free YES x Microsoft certification voucher.
If you have completed all required modules and passed your practice assessment, you qualify for a free certification voucher. Submit your voucher claim form to move forward with your final exam.