Generative AI Concepts for DevOps

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Generative AI Concepts for DevOps
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 33m | 224 MB
Instructor: Steve Buchanan

Learn to integrate generative AI into DevOps workflows for tasks such as generating IAC code in YAML Terraform scripts, and more.

What you'll learn

Generative AI is revolutionizing how DevOps teams approach software development and operations by offering powerful tools to automate tasks, optimize workflows, and tackle challenges with remarkable speed and precision. In this course, Generative AI Concepts for DevOps, you'll learn how generative AI can help DevOps teams work faster and smarter by exploring key tools, understanding how they fit into workflows, and applying them to real-world DevOps problems.

First, you'll explore the foundational concepts of transformer-based generative AI models and self-attention mechanisms in DevOps. Next, you'll dive into the tools and platforms for generative AI, such as GitHub Copilot, Duet AI, Amazon Q, and more, learning how they can be integrated into DevOps workflows using YAML and manifests. Finally, you'll discover how to apply generative AI techniques to solve DevOps challenges, leveraging tools and platforms like Terraform and Kubernetes to drive efficiency and innovation.

By the end of this course, you'll be equipped with the knowledge and tools to harness generative AI in your DevOps workflows, driving greater efficiency, scalability, and innovation in your operations.

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