Category: Developer Tools

Amazon CodeWhisperer is a revolutionary artificial intelligence (AI)-powered productivity tool that improves developer productivity and can serve as an accelerated learning path for cloud computing. Amazon CodeWhisperer uses machine learning (ML) to provide intelligent code suggestions in an integrated development environment (IDE). In this blog, we’ll explore three practical ways developers and cloud architects can use Amazon CodeWhisperer as an educational catalyst in their cloud learning journey.

Amazon Q is a generative-AI powered assistant that helps customers answer questions, provide summaries, generate content, and complete tasks based on data in their company repository. It also exists as a learning tool for AWS users who want to ask questions about services and best practices in the cloud. Learn how you can use it to accelerate your learning of AWS services.

In January, we launched 24 new digital training products on AWS Skill Builder, including three new learning plans for Artificial Intelligence (AI) and Machine Learning (ML), and a Solutions Architect-focused version of AWS Card Clash. On Coursera, we launched courses 5-9 to round out the AWS Cloud Technology Consultant Professional Certificate. To learn DevOps-style best practices for building, training, and deploying ML models, check out the updated three-day AWS Classroom course, MLOps Engineering on AWS.

In November, we launched 16 digital training products on AWS Skill Builder, including 9 new AWS Builder Labs and self-serve AWS Jam events in AWS Skill Builder subscription. For executives, we’ve added more digital training to help you build your knowledge of cloud – this time for small business owners and risk and compliance officers. For AWS Partners in technical roles, check out the major update to the classroom course AWS Partner: Advanced Migrating on AWS.

As cloud technology prevails, the need for skilled professionals who can build and innovate on the cloud is paramount. AWS Cloud Institute is a virtual cloud-skills training program that will help you launch your career as a cloud developer in as little as one year – regardless of your technical background. Learn four reasons why the timing’s right to launch your cloud career with AWS Cloud Institute.

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.

This month we launched 16 digital training products on AWS Skill Builder, including six AWS Builder Labs—two of which focus on skills development for generative AI—and two new AWS Jam Journeys focused on security challenges from AWS re:Inforce 2023. We have a new AWS Certification exam, currently in beta: AWS Certified Data Engineer – Associate. For new-to-cloud learners, ages 18+, dive into a new six-course series to help you build professional skills. Plus, take advantage of the 7-day free trial of AWS Skill Builder Individual subscription.

EPAM and ITSkills4U are empowering career growth of Ukrainians by providing training to 16,000 individuals living in a war zone and those displaced by the war and seeking refuge.

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.

We’ve released 19 new AWS Builder Labs this month, specifically geared to help individuals in developer, cloud architect, cloud engineer, and cloud administrator roles reinforce their learning across various topics including Containers, Developing, Serverless, Networking, Security and AWS Well-Architected Framework.