courseraIT и технологии

AI-Driven Infrastructure as Code (IaC) and Cloud Automation

Курс от Packt

Средний≈ 7.9 чАнглийский

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain hands-on experience in integrating AI into Infrastructure as Code (IaC) and cloud automation processes. By leveraging AI-powered tools like GitHub Copilot, Kiro IDE, and Terraform, you will learn how to automate and enhance the development and provisioning of cloud infrastructure. You'll understand how Vibe Coding, a unique methodology, helps you iteratively improve code by collaborating with AI. This course empowers you to create scalable, efficient cloud systems through AI-driven automation. Throughout the course, you will build a Terraform module using AI agents, applying this knowledge in real-world scenarios such as configuring MySQL databases and provisioning EC2 instances. You'll also dive into Kiro IDE for spec-driven AI coding, where you will automate tasks based on precise specifications, enhancing your development efficiency. Each module focuses on applying the power of AI to traditional DevOps workflows, improving your coding productivity and infrastructure management. This course is perfect for DevOps engineers, cloud developers, and IT professionals interested in expanding their skill set by integrating AI into their workflows. No prior AI experience is required, but a basic understanding of cloud computing and infrastructure as code will help you get the most from this course. By the end of the course, you will have mastered the key concepts of AI-driven Infrastructure as Code and cloud automation, making you proficient in using Terraform, AWS, and AI tools to automate cloud deployments and infrastructure management. This course will leave you with a strong understanding of the integration between AI and DevOps tools, ready to apply your skills in real-world environments.