MLOps Learning

Roadmap

Phase1 Cloud Iac

IAM Basics
IAM Roles & Service Accounts
S3 Fundamentals
VPC Fundamentals
EC2 Fundamentals
Introduction to Terraform
Terraform State Management
Terraform Modules

Phase2 Containers K8s

Docker Deep Dive
Kubernetes Core Concepts
Kubernetes Hands-On with Kind
Kubernetes YAML Manifests
EKS Cluster Setup with Terraform
GitHub Actions Fundamentals
Complete CI/CD Pipeline

Phase3 Ml Lifecycle

ML Fundamentals for MLOps
MLflow Experiment Tracking
MLflow Model Registry
Model Serving with FastAPI
Airflow Fundamentals
ML Pipeline with Airflow

Phase4 Capstone

Capstone Architecture Design
Capstone Infrastructure Setup
Deploy MLflow to Kubernetes
Capstone Training Pipeline
Capstone Model Serving
Monitoring and Observability
Data and Model Drift Detection
Capstone CI/CD Integration
Documentation and Portfolio

Phase4 Capstone

Capstone CI/CD Integration

Introduction

The final piece: automating everything with CI/CD. Infrastructure changes, application deployments, and configuration updates should all flow through version control and automated pipelines.

Why This Matters

Manual deployments are error-prone and don't scale. With proper CI/CD: - Every change is reviewed before deployment - Deployments are consistent and reproducible - You have an audit trail of what changed when - Rollbacks are easy For the capstone, this means: - Infrastructure changes via Terraform in CI/CD - Application deployments triggered by code changes - Configuration managed as code - Everything traceable to git commits

Tasks

Create a GitHub Actions workflow for Terraform

Plan on PR, apply on merge to main

Create a workflow for building and pushing Docker images

Create a workflow for deploying to Kubernetes

Implement environment separation: staging and production

Add quality gates: tests must pass before deployment

Add manual approval for production deployments

Implement GitOps: Kubernetes manifests in git, auto-synced

Hint: Consider ArgoCD or Flux for GitOps

Set up notifications: Slack/email on deployment success/failure

Document the CI/CD pipelines

Test the full flow: code change → tests → build → deploy → verify

Implement rollback procedure: how to deploy a previous version

Check Understanding

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