Agentic AI for DevOps Engineers
Building autonomous CI/CD, infrastructure, and operations workflows
Created by Trevoir Williams
Explore how to bring AI-powered automation to your DevOps workflows. Learn to use AI agents and large language models to modernize CI/CD, infrastructure management, and operations. Gain practical skills for building scalable, autonomous systems that improve reliability and efficiency.
Packt | Jul 2026 | 270 min
What You Will Learn
You will work through practical examples and real-world projects that show how to integrate AI agents, orchestration frameworks, and cloud-native tools into DevOps processes. Each section builds your understanding of AI-driven automation, from analyzing logs to deploying self-healing systems, so you can confidently apply these skills.
Key Features
- Design and automate CI/CD and infrastructure workflows using AI agents and LLMs
- Apply AI-driven solutions for observability, incident response, and cloud operations
- Integrate AI with DevOps tools to create scalable, production-ready workflows
Target Audience
This course is ideal for DevOps engineers, platform engineers, SREs, and cloud architects with some experience in automation and cloud operations. If you want to use AI to automate CI/CD pipelines, optimize infrastructure, and build intelligent, self-managing workflows, you'll find actionable guidance and hands-on practice here.
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