Azure AI Training in Varna

Azure Machine Learning (ML) and Azure OpenAI are cloud-based services that empower teams to develop, evaluate, and deploy machine learning and generative AI capabilities within production-grade applications.

This instructor-led, live training (available online or onsite) is designed for intermediate-level data and application professionals who aim to leverage Azure ML and Azure OpenAI to create, deploy, and manage end-to-end AI solutions.

Upon completing this training, participants will be able to:

• Navigate the Azure Machine Learning Studio and implement comprehensive ML workflows.
• Prepare data, train, test, and evaluate models using appropriate validation metrics.
• Register, package, and reliably deploy models to managed endpoints.
• Integrate Azure OpenAI models and Azure AI Search into applications by adhering to best practices.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live laboratory environment.

Customization Options

• To request customized training for this course, please contact us to arrange it.

This instructor-led, live training in Varna (online or onsite) is aimed at beginner-level, intermediate-level, and 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 Varna (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.