Category: Amazon Machine Learning

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.

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.

International Women’s Day honors the achievements of women worldwide and advocates for gender equality. This is the perfect opportunity to share a story that truly embodies the spirit of this significant occasion. In the traditionally male-dominated tech industry, a trio of women embarked on a remarkable journey at the recent Tech to the Rescue hackathon.

In February, we launched 22 new digital training products on AWS Skill Builder, including new AWS Digital Classroom courses for annual subscribers, five new solution assignments to build generative AI skills via AWS Cloud Quest, and new prep courses for the AWS Certified Data Engineer – Associate exam.

Artificial intelligence (AI) itself may not be new, but the field was thrown into a new level of overdrive in late 2022 when the launch of ChatGPT brought generative AI and large language models (LLMs) quickly and irrevocably into the public’s consciousness. In September 2023, AWS released Amazon Bedrock, a fully managed AI service that allows AWS developers to easily integrate generative AI models into their cloud projects. Learn how three IT professionals were all able to use AWS’s training resources to quickly come up to speed on Amazon Bedrock and put these technologies to use.

We’ve launched AWS Digital Classroom courses to help you build the same knowledge and skills that you would with instructor-led classroom offerings, but in a self-paced digital format. AWS Digital Classroom courses give you flexibility so you can learn where and when you want, at your own pace, and still benefit from an expert AWS instructor.

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.

Imagine diving into the incredible world of artificial intelligence (AI), where anyone can become a generative AI builder. The journey begins with a curious mindset and an openness to the world of AI. This blog is your guide to transforming from a curious beginner to a proficient generative AI builder using AWS.

From Japan to Indonesia, and further south to New Zealand, organizations and individuals from diverse communities are actively embracing and integrating the latest and most advanced technologies, such as artificial intelligence (AI), to improve their lives and work. AWS Training and Certification is helping them build the skills they need to innovate today and tomorrow.

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.