CI/CD for AI Systems Guide

• 1. Introduction to CI/CD and GitHub Actions
• 2. What CI/CD Is and Why AI Needs It
• 3. GitHub Actions — Architecture and Concepts
• 4. YAML Syntax for Workflows
• 5. Triggers — Push, PR, Schedule, Workflow Dispatch
• 6. Your First Workflow Step by Step
• 7. Debugging Workflows
• 8. Project — First CI Workflow

• 1. Introduction: Automated Testing in CI
• 2. pytest in GitHub Actions
• 3. Matrix Testing — Multiple Python Versions
• 4. Dependency Caching
• 5. Test Reports and Coverage
• 6. Timeouts for LLM Tests
• 7. Strategies for Large Test Suites
• 8. Project — Automated Test Pipeline

• 1. Introduction: AI-Specific CI Checks
• 2. Prompt Regression Testing in CI
• 3. Cost Estimation Checks
• 4. Linting and Type Checking in CI
• 5. Docker Build Test in CI
• 6. Artifact Management
• 7. Quality Gates — Blocking the Merge
• 8. Project — AI Quality Gate

• 1. Introduction: Secrets and Environment Management
• 2. GitHub Secrets
• 3. Environment Variables in Workflows
• 4. Per-Environment Secrets
• 5. Env Files and .env in CI
• 6. Secret Rotation
• 7. OIDC — Authentication Without Static Secrets
• 8. Project — Secure Pipeline

• 1. Introduction: Docker in CI/CD
• 2. Building Docker Images in CI
• 3. Docker Layer Caching in Actions
• 4. Container Registries — GHCR and Docker Hub
• 5. Image Tagging Strategies
• 6. Image Scanning in CI
• 7. Multi-Platform Builds
• 8. Project — Docker CI Pipeline

• 1. Introduction: Deployment Pipelines
• 2. CD Concepts and Strategies
• 3. GitHub Environments and Protection Rules
• 4. Deployment Strategies
• 5. Approval Gates
• 6. Rollback Strategies
• 7. Deploy Notifications
• 8. Project — Staging Deploy Pipeline

• 1. Introduction: Monitoring, Notifications and Advanced Patterns
• 2. Pipeline Monitoring
• 3. Notifications — Slack and Email
• 4. Scheduled Workflows and Cron
• 5. Reusable Workflows
• 6. Composite Actions
• 7. Advanced Matrix Strategies
• 8. Project — Advanced CI/CD

• 1. Introduction: Production AI Pipeline
• 2. Pipeline Architecture
• 3. Full Pipeline Implementation
• 4. Automatic Rollback
• 5. Cost Monitoring in the Pipeline
• 6. Pipeline Documentation
• 7. Post-Deployment Validation
• 8. Final Project — Production AI Pipeline

No limit. It's a free guide: come in whenever you like, as often as you like.

No. Modules run from easier to harder, but you can jump to the one you need. Progress is saved per lesson.

Whatever is needed is listed under “What you need to bring”, above. If nothing is listed there, you can start from zero.

In the Club's WhatsApp group, and every two weeks there's a live with an instructor where questions get worked through.

Yes. It's issued automatically once you finish every lesson, with a verifiable code you can share on LinkedIn.

No. This guide is self-paced with no dates. The bootcamp is live, by cohort, with work someone reviews.