Advanced Certificate in AWS & Azure: Cloud Computing Best Practices
-- ViewingNowThe Advanced Certificate in AWS & Azure: Cloud Computing Best Practices is a comprehensive course designed to equip learners with the latest cloud computing best practices. This certification program focuses on the two leading cloud service providers, AWS and Azure, and covers essential skills required for career advancement in this fast-growing field.
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โข Advanced AWS & Azure Architecture Design: focusing on best practices for cloud infrastructure design, including multi-region deployment, cost optimization, and security.
โข Security Best Practices in AWS & Azure: covering advanced security features, including Identity and Access Management (IAM), security groups, and virtual private clouds (VPCs).
โข Monitoring and Logging in AWS & Azure: discussing advanced monitoring and logging tools, such as CloudWatch, Log Analytics, and Application Insights, for effective resource management and troubleshooting.
โข Automation & Infrastructure as Code (IaC) in AWS & Azure: exploring advanced automation techniques, including Terraform, Chef, and Puppet, for managing and scaling cloud resources.
โข Disaster Recovery & High Availability in AWS & Azure: focusing on best practices for disaster recovery and high availability, including backup and restore strategies, and replication techniques.
โข Containerization & Orchestration in AWS & Azure: discussing advanced containerization and orchestration tools, such as Docker, Kubernetes, and Amazon ECS, for deploying and scaling applications.
โข Serverless Computing in AWS & Azure: exploring advanced serverless computing techniques, including AWS Lambda and Azure Functions, for building event-driven and cost-effective applications.
โข Advanced Networking in AWS & Azure: covering advanced networking features, including virtual private networks (VPNs), Azure ExpressRoute, and AWS Direct Connect, for secure and efficient data transfer.
โข Machine Learning & AI in AWS & Azure: discussing advanced machine learning and AI tools, such as Amazon SageMaker and Azure Machine Learning, for building intelligent and predictive applications.
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