Taking an AI Application to Production on Azure: Security, Costs and Monitoring
Overview
Deploy an AI application reliably with containers, pipelines, secrets, and observability.
Program
- 1
DevOps foundations for AI
120 minStructure the repository, environments, and quality controls for an AI application.
- 2
Lab: pipeline, container, and secrets
150 minAutomate build and deployment with containers, secrets, and declarative infrastructure.
- 3
Observability and operations
90 minTrack reliability, costs, and incidents for an AI solution in production.
Prerequisites
An existing application or API can serve as the hands-on case study.
Price
In-company (private) training, group rates or a tailored program? Get a quote adapted to your needs — on-site, remote or hybrid.
Request a quoteScheduled sessions
This course is offered on request. Write to us to be notified of upcoming dates.
Rescheduling policy
If a session is cancelled because the minimum number of registrations is not reached (decision no later than 10 days before), you choose between rescheduling and a full refund.