DEBUG DEPLOY · COURSE OUTLINE

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

Operate machine learning and generative AI systems on Azure.

Duration: 4 days · Language: English

Overview

Operate Azure AI systems through MLOps and GenAIOps, covering infrastructure, model lifecycles, deployment, evaluation, monitoring and automation.

Learning highlights

AI infrastructure

Plan secure, scalable foundations.

Model lifecycle

Manage machine learning workflows.

Generative AI operations

Deploy and evaluate applications.

Automation

Apply delivery and infrastructure practices.

Course curriculum

AI infrastructure

Plan secure, scalable foundations.

Model lifecycle

Manage machine learning workflows.

Generative AI operations

Deploy and evaluate applications.

Automation

Apply delivery and infrastructure practices.

Observability

Monitor and optimise AI systems.

Team collaboration

Connect data science and DevOps.

Who should attend

AI operations practitioners

Data scientists, ML engineers and DevOps professionals.

Teams and organisations

Discuss your team objectives and starting skills with our training advisers.

Prerequisites

Python, basic machine learning and familiarity with source control and CI/CD.

Confirm dates, delivery format and current course inclusions with Debug Deploy.

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