AI and Emerging Trends for GitOps

Learn to automate modern infrastructure with GitOps across serverless, AI/ML, and edge environments. This course teaches you how to deploy with AWS Lambda, manage ML pipelines, update IoT devices, and build AI-powered GitOps workflows.

Modern development environments demand scalable, reliable, and automated deployment strategies—especially as AI and edge computing reshape the software landscape. In this course, AI and Emerging Trends for GitOps, you’ll gain the ability to apply GitOps principles to cutting-edge environments like serverless, AI/ML pipelines, and IoT systems. First, you’ll explore how to integrate GitOps with serverless architectures, deploying AWS Lambda applications and automating Kubernetes-native workloads using Knative. Next, you’ll discover how GitOps can streamline AI/ML workflows by automating model deployment and continuous training through Git-based pipelines. Finally, you’ll learn how to manage edge and IoT deployments with GitOps, implementing secure update mechanisms and examining AI-powered GitOps automation frameworks and emerging technologies. When you’re finished with this course, you’ll have the skills and knowledge to confidently extend GitOps practices across modern computing environments, enabling secure, automated, and scalable operations for future-ready applications.