Cloud Platforms

Cloud Platforms are foundational infrastructures that host and manage computing, storage, and application development resources over the internet. Coursera's Cloud Platforms catalogue equips you with comprehensive knowledge on various cloud technologies including public, private, and hybrid clouds. You'll learn about cloud computing architecture, cloud-native applications, virtualization and containerization, cloud security, and management of cloud resources. In addition, you'll understand the deployment and operation of cloud services from leading providers such as AWS, Google Cloud, and Microsoft Azure, preparing you to drive cloud strategy and implementation in a business context.

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Results for "Cloud Platforms"

  • Skills you'll gain: Virtualization, Cloud-Native Computing, Network Security, Cloud Computing, Amazon Web Services, Infrastructure as Code (IaC), Cloud Computing Architecture, Virtualization and Virtual Machines, Virtual Machines, Network Troubleshooting, Cloud Platforms, Cloud Storage, Cloud Technologies, Virtual Networking, Software-Defined Networking, Network Monitoring, Threat Modeling, Data Centers, Virtual Local Area Network (VLAN), Cloud Security

  • Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, Public Cloud, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability

  • Board Infinity

    Skills you'll gain: Cloud Management, Billing Systems, Cloud Computing, Billing, Cloud Services, Cost Management, Cloud Technologies, Cloud Platforms, Cost Control, Budget Management, Billing & Invoicing, Cloud Engineering, Cloud Deployment, Operating Cost, Dashboard, Resource Utilization, Financial Data, Budgeting, Cost Containment, Financial Management

  • From the course: Web Development Concepts for Everyone·Lesson: Cloud Platforms

  • From the course: Architecting AI Solutions – Scalable GenAI Systems·Lesson: Building for Cloud-Native Deployments

  • Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Platforms, Cloud Computing, Azure DevOps Pipelines, Application Deployment, Cloud Engineering, Software Engineering, Cloud Development, Continuous Delivery, Applied Machine Learning, Cloud API, Machine Learning

  • From the course: AI Agents and MLOps for Production-Ready AI·Lesson: Introduction and Hands-On MLOps

  • Skills you'll gain: Cloud Hosting, Cloud Computing, Cloud Platforms, Cloud Services, Cloud Deployment, Cloud Technologies, Cloud Infrastructure, Public Cloud, Infrastructure As A Service (IaaS), Managed Services, Serverless Computing, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Microsoft Azure, Platform As A Service (PaaS), Servers, Emerging Technologies, Containerization

  • From the course: Cloud Platforms for ML: AWS, Azure & GCP Deployment·Lesson: Platform Comparison Framework

  • Skills you'll gain: Terraform, Infrastructure as Code (IaC), AWS CloudFormation, Cloud Infrastructure, Cloud Platforms, Amazon Web Services, Google Cloud Platform, Data Import/Export

  • Skills you'll gain: Platform As A Service (PaaS), Containerization, Serverless Computing, Cloud Platforms, Docker (Software), Cloud Services, Cloud Management, Cloud Computing Architecture, Cloud Computing, Cloud Hosting, Information Management, Cloud Security, Cloud Development, Cloud Deployment, Applied Machine Learning, Application Deployment, Model Deployment, DevOps, Amazon Web Services, Continuous Deployment

  • From the course: Continuous Integration and Deployment with ASP.NET Core