AI-300T00: Operationalize machine learning and generative AI solutions
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AI-300T00: Operationalize machine learning and generative AI solutions

Official Microsoft Learn course AI-300T00 on MLOps, GenAIOps, automation and production AI operations on Azure. Includes Microsoft Learn paths, labs, configuration decisions and team scenarios.

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About this course

Course AI-300T00: Operationalize machine learning and generative AI solutions is structured as a practical path for teams working with MLOps and GenAIOps for production AI solutions on Azure. The program is based on official Microsoft Learn elements, including: Operationalize machine learning models (MLOps) and Operationalize generative AI applications (GenAIOps). Participants work through concepts, configuration, service dependencies, design decisions and checks that should be reviewed before applying the solution in a business environment. Participants work through model lifecycle management, automation, CI/CD, infrastructure as code, evaluations, monitoring and collaboration between data science and DevOps teams. Each block closes with risks, good practices, limitations and next steps, so the material can support operational readiness, team skills development and further Microsoft knowledge validation.

What you will learn

Follow the official Microsoft Learn paths connected with course AI-300T00: Operationalize machine learning models (MLOps) and Operationalize generative AI applications (GenAIOps).
Understand the course role in MLOps and GenAIOps for production AI solutions on Azure and the dependencies between Microsoft services.
Practice configuration, integration and operational scenarios described in the training modules.
Recognize common mistakes, limitations, technical costs and design decisions that affect implementation.
Prepare a post-course checklist for use in a business environment.
Connect the material with the work of development, operations, security or business user teams.
Plan the next learning or skills validation path using Microsoft Learn materials.

Syllabus

2 900 PLN

Catalog training price

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Duration4 days
Module2
Attendance confirmationYes

Requirements

  • Practical knowledge of Python and machine learning fundamentals.
  • Basic experience with DevOps, source control, CI/CD or command-line work.
  • Familiarity with Azure Machine Learning, GitHub Actions or Bicep is an additional advantage.