MLOps on Azure: From Data Science to Deployment — Lesson 3: Deployment, CI/CD and Infrastructure Automation

Learning Objectives

• Deploy batch or online endpoints with environments, scaling, security, traffic, and rollback
• Integrate source control, tests, pipelines, approvals, infrastructure as code, and release stages
• Validate deployment, ci/cd and infrastructure automation decisions with documented requirements, test evidence, risk controls, and measurable acceptance criteria

Detailed Topics

• Deploy batch or online endpoints with environments: Deploy batch or online endpoints with environments, scaling, security, traffic, and rollback
• Integrate source control: Integrate source control, tests, pipelines, approvals, infrastructure as code, and release stages
• Validate deployment: Validate deployment, ci/cd and infrastructure automation decisions with documented requirements, test evidence, risk controls, and measurable acceptance criteria

Guided Demonstration

1. Review the requirement, users, data, dependencies, permissions, risks, and expected result.
2. Demonstrate the relevant configuration, creation, analysis, migration, administration, or support workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, test results, and other useful evidence.
4. Compare the observed result with acceptance criteria and explain any corrective action.

Hands-On Activity

Implement a controlled model deployment pipeline.

• Document assumptions, prerequisites, and the planned sequence before starting.
• Complete the activity and preserve evidence of normal, boundary, and failure behavior.
• Record issues, corrective actions, reusable notes, and the next improvement priority.

Scenario Analysis

• Identify the business or technical decision that must be made.
• Compare valid implementation approaches and their trade-offs.
• Consider security, privacy, accessibility, performance, support, and operational impact.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, data, permissions, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, ownership, user impact, and business continuity.

Validation Checklist

• The requirement, scope, inputs, and expected outcome are clear.
• The selected design or configuration is documented and follows approved standards.
• Normal, boundary, failure, security, accessibility, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply Deployment, CI/CD and Infrastructure Automation in a realistic scenario and validate the result with documented evidence.