AWS News Blog
New AWS Training Bootcamps to Help You Build Technical Skills
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September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details.
My colleague Janna Pellegrino shared the guest post below to introduce you to a new set of AWS training bootcamps!
— Jeff;
We’ve made four of our most popular Technical Bootcamps from AWS re:Invent and Summits part of our broader AWS Training portfolio so you can now attend a class convenient to you.
- Taking AWS Operations to the Next Level teaches you how to leverage AWS CloudFormation, Chef, and AWS SDKs to automate provisioning and configuration of AWS infrastructure resources and applications. We also cover how to work with AWS Service Catalog. This course is designed for solutions architects and SysOps administrators.
- Securing Next-Gen Applications at Cloud Scale teaches you how to use a DevSecOps approach to design and build robust security controls at cloud scale for next-generation workloads. We cover design considerations of operating high-assurance workloads on the AWS platform. Labs teach you governance, configuration management, trust-decision automation, audit artifact generation, and native integration of tasks into custom software workloads. This course is for security engineers, developers, solutions architects, and other technical security practitioners.
- Running Container-Enabled Microservices on AWS teaches you how to manage and scale container-enabled applications by using Amazon ECS. Labs teach you to use Amazon ECS to handle long-running services, build and deploy container images, link services together, and scale capacity to meet demand. This course is for developers, solutions architects, and system administrators.
- Building a Recommendation Engine on AWS teaches you to build a real-time analytics and geospatial search application using Amazon Elasticsearch Service, Amazon DynamoDB, DynamoDB Streams, Amazon API Gateway, AWS Lambda, and Amazon S3. We discuss a real-world location-aware social application that displays information generated from a model created with Amazon Machine Learning. We also cover best practices for processing and analyzing data, such as the lambda data processing pattern and automating development process, using Swagger, Grunt, and the AWS SDK. This course is for developers, solutions architects, and data scientists.
— Janna Pellegrino, AWS Training and Certification