Udemy – DevOps with Kubernetes & AI Agents: Hands-On LangChain

Kubernetes is the backbone of modern cloud-native applications, but managing it often feels complex with endless YAML files and CLI commands. This course shows you how to simplify Kubernetes using Generative AI and automation. You’ll learn how to build custom AI agents with Python, LangChain, and LLMs that translate plain English prompts into real Kubernetes actions. Instead of writing configurations, you’ll create tools that generate and apply deployments automatically, saving time and reducing errors for teams..

Through hands-on sessions, you will:

• Understand why Generative AI matters in DevOps and Kubernetes
• Build Python-based tools that automate Kubernetes tasks
• Integrate LLMs with LangChain to create powerful AI-driven agents
• Run end-to-end demos of natural language–powered Kubernetes deployments
• Extend automation with services, load balancers, and monitoring
• Create user-friendly interfaces using Streamlit or Gradio

This course is designed for DevOps engineers, cloud professionals, Python developers, and even beginners curious about Kubernetes and AI. No prior Kubernetes or programming experience is required we’ll cover everything step by step with guided demos and practical for learners..

By the end of the course, you’ll have the skills to manage Kubernetes clusters the modern way: faster, smarter, and AI-powered opening opportunities to future-proof your DevOps career with confidence and practical expertise.

Who this course is for:

• DevOps engineers looking to simplify Kubernetes workflows with AI.
• Cloud engineers who want to automate deployments using natural language.
• Beginner Python developers curious about Kubernetes and AI integration.
• IT professionals exploring Generative AI applications in DevOps.
• Students and tech enthusiasts eager to learn Kubernetes the modern way.

DOWNLOAD LINK: DevOps with Kubernetes & AI Agents: Hands-On LangChain