Master Agentic AI for DevOps with hands-on guidance to automate CI/CD, infrastructure, observability, incident response, and cloud operations using AI agents and modern DevOps tools
Key Features
- Build autonomous CI/CD, infrastructure, and operations workflows using AI agents
- Learn AI-driven automation for observability, incident response, and cloud operations
- Implement real-world Agentic AI solutions with DevOps tools, LLMs, and modern platforms
Book Description
Agentic AI for DevOps is a practical, hands-on guide to building autonomous DevOps workflows powered by AI agents, LLMs, and intelligent automation systems. The course shows you how to modernize software delivery and cloud operations by integrating AI into CI/CD pipelines, infrastructure automation, observability, incident response, and platform engineering. You'll learn how to design AI-driven workflows that can analyze logs, automate deployments, optimize infrastructure, remediate failures, and improve operational efficiency with minimal human intervention. Through real-world projects and demonstrations, the course explores the use of AI copilots, orchestration frameworks, cloud-native tooling, and DevOps platforms to create scalable and production-ready autonomous systems. The course also covers prompt engineering, AI workflow orchestration, security, governance, and best practices for building reliable AI-powered DevOps environments. Whether you're a DevOps engineer, SRE, cloud architect, or platform engineer, this course equips you with the practical skills needed to lead the next generation of intelligent DevOps transformation. By the end of the course, you'll be able to confidently build, deploy, and manage AI-driven DevOps systems that improve speed, reliability, scalability, and operational efficiency.
What you will learn
- Build a practical foundation in Generative AI for DevOps
- Apply AI across GitHub, Azure DevOps, and CI/CD workflows
- Use AI to improve automation, infrastructure, and operational efficiency
- Implement AI with guardrails, governance, and enterprise awareness
- Evaluate agentic AI for advanced DevOps scenarios
- Understand how agentic AI, tools, memory, and MCP extend DevOps automation
- Use AI to improve code, pipelines, infrastructure as code, and documentation
Who this book is for
This course is designed for DevOps engineers, platform engineers, SREs, cloud architects, automation specialists, and software developers who want to leverage Agentic AI to automate and optimize modern DevOps workflows. It is ideal for professionals looking to build autonomous CI/CD pipelines, AI-driven infrastructure automation, intelligent monitoring systems, self-healing operations, and scalable cloud-native workflows using AI agents, LLMs, and modern DevOps platforms.
