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 Lima — 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.
NobleProg – Your Local Training Provider
Lima - Edificio Tempus San Isidro
Av. Santo Toribio 115, Lima, Peru, 27
Edificio Tempus is a Class A brand new office building is strategically located in the corner of Av Victor Belaunde and Av. San Toribio in the heart of San Isidro. There is plenty of parking on 4 parking decks. This center is only a short 300 mt walk in the same block from our exiting Real Seis in located in Centro Empresarial.
Lima - Miguel Grau
Av. Almte. Miguel Grau 709 Lima , Lima, Peru, 15063
Expand your business horizons with a workspace in Barranco, one of Lima's 43 districts, boasting excellent connectivity to its surroundings. Enjoy effortless commuting to your office via the Avenida Almirante Miguel Grau S/N and Bulevar - Embarque Sur 2 bus stops.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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