AIICT introduces new Certified Artificial Intelligence Professional course developed with AWS

Source:-https://prwire.com.au/ The Australian Institute of ICT (AIICT) has introduced a new ‘Certified Artificial Intelligence Professional’course, jointly developed with Amazon Web Services (AWS)for aspiring Artificial Intelligence (AI) developers and Machine Learning (ML) professionals. The course enables novice practitioners who are interested in entering the field of AI to become job-ready engineers in just six months. There will be a skill assessment to evaluate the student’s current skills and experience, but the only prerequisites are a basic understanding of mathematics and statistics

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Google Cloud, MongoDB Take Their Alliance To The Next Level

Source:-https://www.crn.com Next-generation database developer MongoDB and Google Cloud are extending the strategic alliance they launched two years ago with a new partnership deal under which the MongoDB Atlas cloud database will be integrated with a slew of Google Cloud services. The move is expected to provide systems integrators, ISVs and other solution provider partners of the two companies with new opportunities in cloud application development and cloud data migration. Google Cloud and MongoDB have undertaken the joint engineering task of

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AWS Marketplace Adds Nvidia’s GPU-Accelerated NGC Software For AI

Source:-https://www.crn.com Amazon Web Services is making it easier for customers and partners to build GPU-accelerated AI applications, thanks to the addition of Nvidia’s NGC catalog of software to the AWS Marketplace. AWS Marketplace is adding 21 software resources from Nvidia’s NGC hub, which consists of machine learning frameworks and software development kits for a variety of use cases that are optimized to run on Nvidia GPUs, the Santa Clara, Calif.-based company announced Friday. This makes AWS the first cloud service

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AWS SageMaker gets nine new capabilities

Source:-https://datacentrenews.eu Amazon Web Services (AWS) announced nine new capabilities for the Amazon SageMaker machine learning (ML) service during the ML keynote at the 2020 re:Invent conference, which was held virtually. “Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug, and run custom machine learning models with greater visibility, explainability, and automation at scale,” says AWS Amazon machine

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AWS-Designed Inferentia Chips Boost Alexa Performance

source:-https://www.enterpriseai.news Almost two years after unveiling its Inferentia high-performance machine learning inference chips, Amazon has almost completed a migration of the bulk of its Alexa text-to-speech ML inference workloads to Inf1 instances on its AWS EC2 platform. The dramatic move to infrastructure powered by the newer chips was made to gain significant cost savings and performance gains over the GPU-based instances on EC2 that were formerly being used, according to the company. By migrating the workloads to Inf1 instances, the

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What’s the point: NSL for TensorFlow, AWS adds container insights, TeamCity and GitLab fixes

Source: devclass.com The TensoFlow team has introduced a new framework, which it says should allow both novice and advanced developers to train neural networks with structured signals. Dubbed Neural Structured Learning, the framework can be used to construct “accurate and robust models for vision, language understanding, and prediction in general.” The team said the framework leverages structured signals in addition to feature inputs, and structure can “be explicit as represented by a graph or implicit as induced by adversarial perturbation.” TeamCity’s

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