The AWS Solution Architect Associate Exam Prep specialization is for individuals seeking to develop proficiency in AWS cloud architecture and services. The course also aligns with the AWS Solution Architect Associate exam structure, helping you prepare for the certification exam.
This is a 4-course series. The four courses will cover topics such as AWS core services, cloud security, networking, storage solutions, database management, and architectural best practices, which will prepare you to design and implement scalable, highly available, and fault-tolerant systems on AWS.
The AWS Architect Certification course is designed from absolute scratch, making it a go-to choice for anyone new to AWS cloud computing. This course has hands-on demos, quizzes, exam simulators for exam practice, and high-quality theory content videos prepared by industry experts.
Therefore, this course is all you need to gain a deeper understanding of AWS cloud architecture and ace the AWS Solutions Architect – Associate Certification.
Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
Applied Learning Project
The AWS Solution Architect Associate course offers 31 demos on AWS functionalities. Key projects include connecting to EC2 instances, creating AMIs, launching and setting up EC2, installing Apache, and using Snowball, CloudFront, Storage Gateway, and Route53 basics.
It covers networking with subnets and VPCs, managing RDS and DynamoDB, optimizing with ElastiCache and Auto-scaling, working with EBS and SNS, creating S3 with CloudFormation, and utilizing CloudWatch, CloudTrail, Lambda, API Gateway, and Well-architected Framework tools.
The AWS Cloud Architect Certification specialization also covers 3 case studies: scaling challenges, scalability and performance optimization, and architecture transformation.
Projects include designing scalable solutions, optimizing system performance, and transforming traditional architectures to cloud-native models. The course uses AWS tools like EC2, Auto Scaling, RDS, and CloudFormation.
