Certificate in Cloud Computing for Research Excellence
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โข Cloud Computing Fundamentals: Understanding cloud computing basics, cloud service models (IaaS, PaaS, SaaS), and cloud deployment models (Public, Private, Hybrid, Multi-cloud).
โข Cloud Architecture and Virtualization: Learn about cloud architecture, virtualization techniques, and the role of virtual machines in cloud computing.
โข Amazon Web Services (AWS) for Research: Explore AWS services, including EC2, S3, RDS, and how researchers can leverage them for data storage, processing, and analysis.
โข Microsoft Azure for Research: Dive into Azure services, such as Virtual Machines, Blob Storage, and Azure Machine Learning, to support research workloads.
โข Google Cloud Platform (GCP) for Research: Learn about GCP services like Compute Engine, Cloud Storage, and BigQuery, and how they can be applied in research scenarios.
โข Cloud Security and Compliance: Understand cloud security best practices, data encryption, identity and access management, and compliance requirements.
โข Cloud Data Management and Analytics: Learn about data management in the cloud, including data warehousing, data lakes, and big data analytics tools and platforms.
โข Cloud-based Machine Learning and AI: Explore cloud-based machine learning and artificial intelligence platforms, such as AWS SageMaker, Azure Machine Learning, and Google Cloud AI Platform.
โข Cloud Migration and Optimization Strategies: Learn about cloud migration best practices, cost optimization techniques, and continuous improvement in cloud environments.
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