Advanced AWS Architecture, Scaling & Automation

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this advanced course, you will dive deep into the world of AWS architecture, focusing on critical concepts like scalability, load balancing, auto-scaling, caching, and automation. You will understand how AWS tools and services can be utilized to design highly efficient, scalable, and automated cloud architectures. By exploring real-world use cases and hands-on examples, you’ll develop the skills to tackle complex cloud infrastructure challenges effectively. Throughout the course, you’ll start by learning about auto scaling and load balancing in AWS, including key services like ELB, ALB, and NLB, and their role in maintaining high availability and fault tolerance. Then, the course covers the critical area of caching with AWS services such as CloudFront, Elasticache, and DynamoDB Accelerator, demonstrating how to enhance performance and reduce latency. Moving forward, you'll explore decoupled architecture patterns with tools like SQS and SNS, laying the groundwork for more resilient and scalable application designs. Next, you will delve into automation, focusing on CloudFormation, Elastic Beanstalk, and OpsWorks to manage and deploy AWS infrastructure. The course also covers the use of containers and serverless technologies with services such as ECS, EKS, Lambda, and API Gateway. Finally, you’ll dive into data analytics in AWS, using tools like Amazon Athena, Redshift, and QuickSight to process and analyze large datasets. This course is designed for experienced cloud professionals, architects, and developers looking to deepen their expertise in designing, scaling, and automating advanced AWS architectures. By the end of the course, you will be able to design and implement complex AWS architectures, leverage scaling and load balancing techniques, automate infrastructure deployments, and work with containers and serverless applications to optimize cloud-based solutions.

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