Integrating CI/CD Pipelines to Machine Learning Applications
Last Updated on September 23, 2025 by Editorial Team
Author(s): Kuriko Iwai
Originally published on Towards AI.
A step-by-step guide on automating the infrastructure pipeline on AWS Lambda architecture
A CI/CD pipeline is a set of automated processes that helps machine learning teams deliver models more reliably and efficiently.
This article provides a comprehensive guide on integrating CI/CD pipelines with machine learning applications, particularly in the context of AWS Lambda architecture. It covers tools and techniques, ensuring automation in deployment and management processes, enhancing productivity and reliability. The workflow includes setting up testing and building procedures using GitHub Actions, AWS CodeBuild, and establishing monitoring with Grafana to ensure seamless operation and oversight of machine learning models in deployment.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
