No results found
We couldn't find anything using that term, please try searching for something else.
Build role-specific expertiseAWS Cloud Quest is the flagship training in our game-based learning portfolio. You start by creating your avatar and step
Build role-specific expertise
AWS Cloud Quest is the flagship training in our game-based learning portfolio. You start by creating your avatar and step into the role of a cloud professional, such as a solutions architect or machine learning specialist, and converse with virtual customers. It’s a great way to grow your ability to translate complex business problems into technical solutions.
Then you apply your knowledge with hands-on labs, solving your customer’s problem by building solutions in a structured AWS Management Console environment. With guidance, you can tackle use-cases specific to a technical domain or AWS service, benefiting from assessments along the way. When you complete all the assignments in the quest, you’ll earn an official AWS digital badge credential, which you can showcase to recruiters, potential employers, and peers through Credly.com.
AWS Cloud Quest supports new-to-cloud learners with foundational cloud practitioner training and roles aligned with professional cloud jobs roles, including data analytics specialist, networking specialist, machine learning specialist, and security specialist. Our new generative AI role helps people gain practical experience developing generative AI solutions. Completing the respective AWS Cloud Quest role can help learners build knowledge and hands-on skills to pursue the aligned AWS Certification.
New training is continuously being added within AWS Cloud Quest. AWS has launched new solution assignments to build practical generative artificial intelligence skills for machine learning, serverless developer, solutions architect, security roles, and more.
These new tasks help you learn to generate images from text descriptions, create chatbots powered by large language models, and use generative AI to build cloud infrastructure. The hands-on assignments will teach you how to leverage services like Amazon CodeWhisperer, Amazon Lex V2, and Amazon SageMaker for applied generative AI and automation.