Category: Amazon Kinesis

Welcome to the March course launch blog. This month we launched eight new digital training products on AWS Skill Builder, including four new AWS Builder Labs and Generative AI Developer Kit. We also have three new, and one updated AWS Classroom Training courses—two of which have AWS Partner versions—including Developing Generative AI Applications on AWS. A reminder: registration is now open for the new AWS Certified Data Engineer – Associate exam. You can begin preparing with curated exam prep resources, created by the experts at AWS, on AWS Skill Builder.

In October, we launched 13 digital training products on AWS Skill Builder, including a new learning plan and digital badge for Migration, a new AWS Jam Journey for Game Serverless and Analytics, a free digital course to build generative AI skills with Amazon Bedrock, and a new 12-month, prescriptive virtual training program to build job-ready cloud developer skills called AWS Cloud Institute. And, AWS Cloud Quest: Cloud Practitioner is now available in Japanese.

In July, we released 52 digital training products on AWS Skill Builder, including AWS Industry Quest: Healthcare, AWS Cloud Quest: Networking, 19 AWS Builder Labs, and new exam prep for AWS Certified Cloud Practitioner and AWS Certified DevOps Engineer – Professional. For c-suite executives, explore courses to help you build knowledge of the capabilities of cloud. We also have two new trainings exclusive to AWS Partners in sales roles.

In this blog, learn how an AWS Sr. Solutions Architect prepared for the AWS Certified Data Analytics – Specialty exam, and the 10 areas you can study to prepare yourself to take this certification exam. Earning the credential will validate your expertise in designing data solutions and using analytics services to derive insights from data. This credential also helps organizations identify and develop talent with critical skills for implementing cloud initiatives.

Our collection of instructor-led training courses, called the Building Modern Data Analytics Solutions on AWS, teaches data teams and developers how to build a truly modern data analytics solution on AWS. You will learn how to use AWS for data movement, data storage, big data analytics, data lakes, streaming analytics, business intelligence, and machine learning (ML).