Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate

AWS: Application Integration and Networking Course is the fifth course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course assists learners in configuring isolated virtual networks that closely resemble a traditional network. Learners can create content delivery network (CDN) services built for high performance, and developer convenience. This course allows learners to decouple microservices and process event-driven applications using Amazon SQS. The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. Module 1: Application Integration in AWS Module 2: Networking and Content Delivery in AWS By the end of this course, a learner will be able to: - Create a logically isolated virtual network for AWS resources. - Automate and catalog data flow between SaaS applications and AWS services. - Scale and optimize web content delivery with the AWS global network infrastructure supporting edge locations. This course is intended for candidates who wish to execute their large workloads on a secure and reliable global network and have basic hands-on experience in architecting and maintaining network solutions.

AWS: Compute and Data Transfer is the third course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course focuses on designing serverless solutions using AWS Lambda and AWS Serverless Application Model. It also focuses on running batch computing workloads using AWS Batch. This course describes AWS data transfer services to transfer files into and out of AWS storage services. The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. Module 1: Compute in AWS Module 2: Data Transfer in AWS By the end of this course, a learner will be able to: - Explore serverless features and best practices of AWS Lambda. - Enhance developer's experience in building and running serverless applications on AWS. - Describe methods to process and analyze streaming data at any scale in AWS. This course is intended for candidates who wish to enhance their skills in architecting complex solutions adopting a consumption-based (pay-per-use) model and have basic hands-on experience in scaling and migrating infrastructure.

AWS: Data Analytics is the fourth course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course assists learners in configuring data integration services to discover, move, and integrate data from multiple sources for application development. Learners will explore a serverless, interactive analytics service to analyze petabytes of data in AWS. This course teaches learners to extract data from various sources using big data frameworks such as Apache Spark, Hive, or Presto. The course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. Module 1: Data Integration in AWS Module 2: Data Analytics and ML in AWS By the end of this course, a learner will be able to: - Examine data integration services to integrate data from multiple sources for analytics and application development. - Centrally manage data lake access permissions and share data within and outside your organization. - Describe a fully managed service to process and analyze streaming data at any scale in AWS. This course is intended for candidates who wish to enhance their skills in analyzing large and complex datasets and have basic hands-on experience in analytics and database services.

AWS: Databases Course is the second course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course assists learners in designing relational and non-relational databases using AWS services. This course focuses on configuring No-SQL and Graph databases using Amazon DocumentDB, Amazon DynamoDB, Amazon Keyspaces, and Amazon Neptune. The course also guides implementing relational and data warehouses using Amazon RDS and Amazon Redshift respectively. This course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. Module 1: Relational Database and Data Warehouse in AWS Module 2: Non-Relational Databases in AWS By the end of this course, a learner will be able to: - Implement and configure relational databases in AWS using Amazon RDS. - Examine data warehouse solutions in AWS. - Implement and configure non-relational databases in AWS using Amazon DynamoDB, Amazon Keyspaces, etc. This course is intended for individuals who want to enhance their skills working with on-premises and AWS Cloud-based relational and non-relational databases and have one or two years of experience in configuring database solutions for applications.

AWS: Security, Governance, and Compliance is the sixth course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course teaches learners the concepts of Security in databases regarding AWS. Learners will be able to implement controls to protect secrets, and credentials, and remove customer-provided key material. The course also focuses on monitoring, logging, and tracking the resiliency of your applications by exploring AWS services. The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. Module 1: Management and Governance in AWS Module 2: Security, Identity, and Compliance in AWS By the end of this course, a learner will be able to: - Implement data protection and encryption techniques. - Explore management and governance services in AWS. - Understand data security risks by discovering sensitive data using machine learning. This course is intended for candidates who wish to understand AWS data protection mechanisms and data encryption methods and have basic hands-on experience in designing and implementing security solutions.