What if your cloud could see, hear, speak, and reason — with enterprise-grade reliability? With Azure AI, it can.
Our instructor-led live courses explore how Microsoft’s powerful AI platform fuels real-world innovation — whether you're deploying multimodal agents through Azure OpenAI, building voice apps with Speech Services, or automating decisions using Cognitive Services and Azure Machine Learning.
Train online via an interactive remote desktop, or join live sessions in Helsinki — held onsite at your location or at a NobleProg training center — where labs simulate mission-critical AI pipelines at scale.
Also referred to as Microsoft Azure AI, Azure Cognitive Services, or Azure OpenAI, this training track helps professionals and teams design, deploy, and govern intelligent applications — securely, responsibly, and at cloud speed.
This instructor-led training in Helsinki helps intermediate professionals build and deploy production-ready AI using Azure ML and OpenAI. Participants will learn to manage data, train and evaluate models, and integrate generative AI into applications for robust, scalable solutions.
This instructor-led, live training in Helsinki (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.
By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.
This instructor-led, live training in Helsinki (online or onsite) is aimed at intermediate-level developers and technical professionals who wish to use Azure OpenAI to build secure, useful, and scalable enterprise AI solutions.
By the end of this training, participants will be able to: explain Azure OpenAI capabilities, create effective prompts, connect AI applications to enterprise data, and apply security and responsible AI practices.
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