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Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

The course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. GK# 100251

Watch "Build your foundational knowledge of Data & AI with Azure." Azure provides easy-to-use services to help you build Data and AI solutions.

For this exam, you should have conceptual knowledge of AI solutions in Azure and the foundational technical skills to work with them. You also need knowledge of Python coding syntax and programming techniques, and you should be familiar with Azure resources.

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

This 1 day course focuses on building intelligent applications that can see, interpret, and reason over images and documents using different multimodal models and agent-based tools. Learners explore how visual and document inputs can be combined with language models...

It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance. Students will also learn about responsible AI practices fo...

Master the skills needed to design solutions that run on Azure. An Azure solution architect must have expertise in compute, network, storage, and security.

Exclusive – Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations.