- Course
- Core Tech
Practical Applications of Generative AI in DevOps
Learn how to unlock the power of generative AI in DevOps by automating Infrastructure as Code, streamlining incident management, and enhancing testing workflows.
What you'll learn
Transform the way you approach DevOps with the power of generative AI. In this course, Practical Applications of Generative AI in DevOps, you'll go on a journey to solve real-world challenges faced by DevOps teams, using AI-driven tools and strategies to enhance efficiency, reduce errors, and deliver reliable solutions faster. First, you’ll learn to streamline cloud infrastructure provisioning, starting with AI-generated Terraform configurations, optimizing Ansible playbooks, and validating Kubernetes manifests. Next, you'll dive into incident management, a critical area for any DevOps team, and discover how to cut through alert fatigue with AI tools that analyze historical incident data, uncover patterns, and propose actionable remediation steps. Finally, you'll focus on automated test case generation, a transformative approach to guaranteeing application reliability. By the end of this course, you’ll have the skills and knowledge of generative AI in DevOps needed to provision infrastructure, resolve incidents, and automate testing.
Table of contents
About the author
Eman Hassan is the CTO of Aleoop, an AI-driven startup that leverages machine learning to capture real-time customer needs and align product, sales, and leadership teams. With over 13 years of experience in software engineering, cloud computing, cybersecurity best practices, data engineering, and DevOps, she brings deep technical expertise and strategic insight to every project. Passionate about AI, mentorship, and continuous learning, Eman helps developers master emerging technologies and deliver impactful, real-world solutions.