Phase 7: AI Evaluation & Observability · 55 min · Python · GitHub Actions · LangSmith

CI/CD for AI Deployments

Every PR gets a preview. Every preview gets evals. Every eval gate blocks.

Hiring signal: FDE roles at companies with mature AI deployment practices test CI/CD for AI: candidates who build pipelines with automated eval gates, preview deployments per PR, and automatic rollback on regression pass. Candidates who deploy prompt changes manually fail. Canary releases with eval monitoring and PromptHub webhook-triggered pipelines are the 2026 production patterns.

What you will learn

Build CI pipelines for AI: lint, unit tests, integration tests, evaluation suite, quality gate
Set up preview deployments: every PR gets a preview with its own eval results
Configure quality gates: minimum eval scores, no regressions beyond threshold, human review for high-risk
Implement CD patterns: blue-green, canary with eval monitoring, automatic rollback on regression
Integrate PromptHub: versioning prompts, webhook-triggered pipelines on prompt changes

What You'll Learn

This lesson takes approximately 55 min. By the end, you will be able to:

Build CI pipelines for AI: lint, unit tests, integration tests, evaluation suite, quality gate
Set up preview deployments: every PR gets a preview with its own eval results
Configure quality gates: minimum eval scores, no regressions beyond threshold, human review for high-risk
Implement CD patterns: blue-green, canary with eval monitoring, automatic rollback on regression
Integrate PromptHub: versioning prompts, webhook-triggered pipelines on prompt changes

The Problem

Every pull request gets a preview deployment. Every preview gets an evaluation run. Every evaluation gate blocks the merge if metrics drop below threshold. This is CI/CD for AI: the pipeline that prevents regressions from reaching production. This lesson covers eval-gated merges, canary deployments with metric-based rollback, and CI configurations for AI workflows.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers CI Pipeline for AI: Eval-Gated Merges, Canary Deployment with Eval Monitoring, PromptHub: Webhook-Triggered Pipelines, Practical Application, What Hiring Managers Look For, Resources, Key Takeaways, Next Steps — plus a hands-on lab, quiz, and project artifact.

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