
"AWS has launched Generative AI Essentials, a new training course focused on helping developers work with generative AI in practical, production-oriented ways. The course is available on Coursera and edX. According to AWS, the course is aimed at developers, students, and early-career professionals, and reflects growing demand for applied AI skills. The company positions generative AI as a standard part of modern development work."
"The course introduces developers to using generative AI directly in development workflows, with an emphasis on hands-on application. AWS said learners are expected to work with its AI services through practical exercises tied to real development scenarios. On Coursera, Generative AI Essentials is structured as a three-module course built for beginners. AWS estimates it can be completed in about two weeks at roughly ten hours per week."
"On edX, the course is listed as introductory and does not require prior experience. The edX version is self-paced, with learners able to progress over an estimated three-week period at two to four hours per week. The training centers on AWS's generative AI tooling, including: Amazon Q Developer, AWS's AI assistant for coding, troubleshooting, and documentation tasks. Amazon Bedrock, including access to foundation models, customization options, knowledge bases, and agent workflows."
AWS launched Generative AI Essentials to teach developers, students, and early-career professionals how to apply generative AI in practical, production-focused workflows. The course emphasizes hands-on exercises that use AWS AI services tied to real development scenarios. The Coursera version is a three-module beginner course estimated at about two weeks at roughly ten hours per week. The edX version is introductory and self-paced, with estimated completion over three weeks at two to four hours per week. Core tools covered include Amazon Q Developer and Amazon Bedrock, while additional modules introduce Amazon Kiro and Amazon SageMaker AI. The curriculum spans everyday tasks and production-scale AI work.
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