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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.

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

Using Azure AI Search, you can extract key insights from information locked up in structured and unstructured data sources, and enable applications to search and analyze them.

The Azure Data Engineer collaborates with business stakeholders to identify data requirements to design & implement solutions using Azure data services.

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...

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.

Migrate, design, and deploy Microsoft Azure Solutions for SAP Workloads. Build and Deploy Azure for SAP Workloads. Validate Azure Infrastructure for SAP.

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

Validate your data science knowledge to implement and run machine learning workloads on Azure. Set up an Azure Machine Learning workspace.

How to achieve the new Microsoft Certified Azure AI Engineer Associate Certification, expert training available from Skillsoft Global Knowledge.