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所在平台: Udemy |
课程主页: https://www.udemy.com/course/devops-to-mlops-unlock-the-future-of-ai-and-cloud-careers/
课程评论：没有评论
**课程总结：DevOps to MLOps：解锁人工智能与云职业的未来** 本课程专为寻求转型至高需求的MLOps领域的DevOps工程师、云专业人士或AI爱好者设计。课程旨在帮助您弥合DevOps与AI Operations（AIOps）之间的差距，提供实用的技能和真实世界的用例。 **您将学到：** * 理解DevOps演进至MLOps的历程，以及AI驱动的工作流程为何是未来趋势。 * 学习针对AI/ML模型部署的Kubernetes、Terraform以及CI/CD流水线。 * 在AWS、Azure和GCP平台上，使用Docker化的ML模型实施真实项目。 * 通过GitOps、ArgoCD和Kubeflow，实现机器学习流水线的端到端自动化。 * 利用特征存储、模型注册表和云原生监控，高效部署AI模型。 **本课程适合：** * 希望转向MLOps和AI Operations的DevOps和云工程师。 * 热衷于自动化机器学习流水线的软件工程师。 * 对生产化AI模型感兴趣的数据科学家。 * 希望利用Kubernetes和Terraform扩展部署的AI/ML专业人士。 **本课程的独特之处：** * 100%动手实验，包含真实世界的MLOps项目。 * 涵盖来自顶级科技公司的行业最佳实践。 * 使用Terraform、Kubernetes和云服务构建AI/ML模型的CI/CD流水线。 * 与AWS SageMaker、Azure ML和GCP AI进行整合。 立即加入，解锁DevOps与MLOps职业的未来！
Are you a DevOps Engineer, Cloud Professional, or AI Enthusiast looking to transition into the high-demand field of MLOps? This course is designed to help you bridge the gap between DevOps and AI Operations (AIOps) by equipping you with practical skills and real-world use cases.In this course, you will:Understand the evolution from DevOps to MLOps and why AI-driven workflows are the future.Learn Kubernetes, Terraform, and CI/CD pipelines tailored for AI/ML model deployment.Implement real-world projects on AWS, Azure, and GCP using Dockerized ML models.Master end-to-end automation of Machine Learning pipelines with GitOps, ArgoCD, and Kubeflow.Deploy AI models efficiently using feature stores, model registries, and cloud-native monitoring.Who is this course for?DevOps and Cloud Engineers looking to pivot into MLOps & AI OperationsSoftware Engineers eager to automate Machine Learning pipelinesData Scientists interested in productionizing AI modelsAI & ML professionals who want to scale deployments with Kubernetes and TerraformWhat makes this course unique?100% Hands-on Labs with real-world MLOps projectsIndustry Best Practices from top tech companiesCI/CD Pipelines for AI/ML models using Terraform, Kubernetes, and Cloud servicesIntegrations with AWS SageMaker, Azure ML, and GCP AIJoin now and unlock the future of DevOps & MLOps careers!
