Post Deployment

The Post Deployment AI Journey


Implement an early end-to-end integration to iterate faster by using small and valuable increments. Create an entire deployment process, continuous monitoring, and management strategy. Agenda: Evaluate the best approach to train and serve models to production – batch / real-time. Adopt ML System Architecture and Writing Production-Ready Codes. Model Deployment, Monitoring, Maintenance Measures – Read More


Post Deployment

Infrastructure as a Code


Build objects through code with Azure. Manage changes to objects through declarative frameworks like Azure Resource Manager (ARM) templates, Terraform, Ansible, Chef, or Puppet Learn the concept of infrastructure as code Understand how to combine frameworks with a DevOps repository Gain control of your Azure infrastructure

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