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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-for-cloud-engineers/
课程评论：没有评论
课程名称：云工程师的生成性人工智能 课程概述：生成性人工智能（GenAI）的兴起正在改变云专业人士设计、部署、监控和保护基础设施的方式。本课程《云工程师的生成性人工智能》专为希望将GenAI的强大能力融入其云工作流程的云工程师、DevOps从业者和站点可靠性工程师（SRE）而设计。课程从揭示GenAI的能力、局限性及其与传统自动化的不同之处开始，帮助学习者了解AI在云环境中的发展，以及为什么理解GenAI已成为每个云角色的必备知识。 课程深入探讨了多种GenAI平台，包括OpenAI、Anthropic、Google Vertex AI和AWS Bedrock，学习如何与它们的API互动、管理使用限制，并将其集成到云原生架构中。学习者将掌握如何使用大规模语言模型（LLM）和扩散模型进行基础设施任务，包括生成Terraform、CloudFormation和Pulumi脚本，自动编写Kubernetes YAML和Helm图表。课程强调了基础设施即代码（IaC）的提示工程、通过GitHub Copilot增强CI/CD管道，以及使用自然语言进行智能资源调整、成本优化和异常检测。 学习内容还包括自动生成身份和访问管理（IAM）策略、总结日志和指标、编写根本原因分析（RCA）文档，以及撰写直接用于实时自动化的GitOps/DevOps提示。高级课程环节涵盖威胁检测、安全的GenAI部署、提示注入防范，以及为Slack和Teams创建ChatOps机器人。 真实世界的实验室练习加强了学习效果，让您能够生成适用于AWS、Azure和GCP的IaC模板，实施GenAI驱动的安全策略，并优化云支出。课程最后将通过动手实验、自愈脚本创建和将LLM集成到CI/CD系统中来总结学习成果。借助1000多个专家提示，本课程为您提供推动云基础设施AI驱动未来的工具。
The rise of Generative AI (GenAI) is transforming how cloud professionals design, deploy, monitor, and secure infrastructure. This comprehensive course, Generative AI for Cloud Engineers, is tailored for cloud engineers, DevOps practitioners, and SREs aiming to integrate the power of GenAI into their cloud workflows. It begins by demystifying GenAI-its capabilities, limitations, and how it differs from traditional automation. Learners will explore the evolution of AI in cloud environments and why understanding GenAI is now essential for every cloud role. The course offers a deep dive into GenAI platforms such as OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock, including how to interact with their APIs, manage usage limits, and integrate them into cloud-native architectures.You will learn how to use LLMs and diffusion models for infrastructure tasks-from generating Terraform, CloudFormation, and Pulumi scripts to auto-writing Kubernetes YAMLs and Helm charts. The course emphasizes prompt engineering for Infrastructure-as-Code (IaC), CI/CD pipeline enhancements with tools like GitHub Copilot, and intelligent resource right-sizing, cost optimization, and anomaly detection using natural language. You'll discover how to auto-generate IAM policies, summarize logs and metrics, build RCA documents, and write GitOps/DevOps prompts that feed directly into real-time automation. Advanced sessions cover threat detection, secure GenAI deployment, prompt injection prevention, and ChatOps bot creation for Slack and Teams.Real-world labs reinforce the learning, enabling you to generate IaC templates for AWS, Azure, and GCP, implement GenAI-powered security strategies, and optimize cloud spend. The course concludes with hands-on labs, SRE playbook automation, self-healing script creation, and integration of LLMs into CI/CD systems. With 1000+ expert prompts, this course equips you with the tools to drive the AI-powered future of cloud infrastructure.
