Udemy – DevSecOps on AWS: Defend Against LLM Scrapers & Bot Traffic

What you’ll learn:

• How CloudFront caching works and how to build intelligent, bot-aware delivery flows
• How to implement degraded-content / traffic-splitting strategies using CloudFront, Lambda@Edge, and S3
• How to separate cache for bots vs humans using CloudFront Functions
• How to eliminate “missing assets” issues using immutable asset deployments
• How to deploy and tune CloudFront Origin Shield
• How to analyze CloudFront logs using Athena for bot and traffic insights
• How to configure AWS WAF to be defensive against bots DoS (IP sets, GEO rules, rate rules, managed rules)
• How to use JA4 fingerprinting for advanced rate-limit funnels
• How AWS WAF Bot Control really works (COMMON vs TARGETED modes)
• How to integrate the WAF client-side SDK to unlock advanced detections
• How to read and interpret Bot Control dashboards and labels
• How to build a real Bot Identification Report in Athena
• How to design, validate, and deploy a complete bot strategy (allow, block, degrade)

Requirements:

• An active AWS account
• A domain name to use with CloudFront
• Understanding of HTTP, web apps, or APIs
• Good Terraform knowledge
• IT IS NOT THE COURSE FOR BEGINNERS

Short description

This course teaches you how to survive — and win — in the new era of AI bots, crawlers, scrapers, and automated traffic. Today bots consume an enormous portion of API, web, and CDN traffic. They cost money, distort analytics, break cache logic, and overload your application. And traditional protections are no longer enough. This course gives you a complete, practical, battle-tested system to handle AI bots with intelligence, not brute force.