Global Certificate in Cloud Computing Infrastructure Management
-- ViewingNowThe Global Certificate in Cloud Computing Infrastructure Management is a comprehensive course designed to equip learners with essential skills for career advancement in the cloud computing industry. This course emphasizes the importance of cloud infrastructure management, which is a critical aspect of modern businesses, as they rely on cloud services for their digital operations.
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GBP £ 140
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โข Cloud Computing Fundamentals: Understanding cloud computing basics, cloud deployment models (Public, Private, Hybrid, and Multi-cloud), and cloud service models (IaaS, PaaS, SaaS, FaaS).
โข Cloud Infrastructure Management: Learning to manage cloud infrastructure, including networking, storage, and compute resources, using cloud provider tools and APIs.
โข Security in the Cloud: Exploring cloud security concepts, best practices, and technologies, including identity and access management, data encryption, and security compliance.
โข Cloud Migration and Lift-and-Shift Strategies: Planning and executing cloud migrations, including assessing migration readiness, selecting migration tools, and implementing lift-and-shift strategies.
โข Cost Optimization in the Cloud: Understanding cloud cost management fundamentals, cost optimization techniques, and best practices for reducing cloud spending.
โข Cloud Monitoring and Troubleshooting: Learning to monitor cloud infrastructure, diagnose and troubleshoot issues, and implement monitoring and alerting strategies.
โข DevOps in the Cloud: Exploring DevOps principles and practices in the cloud, including continuous integration, continuous delivery, and infrastructure as code.
โข Containers and Serverless Architectures: Understanding containerization technologies (Docker, Kubernetes), serverless architectures (AWS Lambda, Azure Functions), and their use in cloud infrastructure management.
โข Cloud Data Management and Analytics: Learning to manage and analyze data in the cloud, including data warehousing, big data, and machine learning.
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