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 Guatemala City — 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
Guatemala - Europlaza
5a Avenue 5-55 Zone 14, Guatemala City, Guatemala, 1014
The Guatemala Europlaza Center is located on the second floor of one of the four modern 19-story towers that form the Europlaza World Business Center. The Guatemala Europlaza Center is convenient for public transport connections, including the new Transmetro bus system introduced to improve traffic flow, and the city Center is just 10 minutes away.
Guatemala - Citibank Tower
3r avenue 13-78, zone 10 , Guatemala City, Guatemala, 01010
Experience convenient access to Citibank Tower via public transportation or by car, with on-site parking available. Additionally, relish seamless international travel with the airport a mere 15-minute drive from the tower.
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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