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During his one hour forty minute-keynote, Thomas Kurian, CEO of GoogleCloud showcased updates around most of the companys offerings, including new large language models (LLMs) , a new AI accelerator chip, new open source frameworks around agents, and updates to its data analytics, databases, and productivity tools and services among others.
To Jae Lee, a data scientist by training, it never made sense that video — which has become an enormous part of our lives, what with the rise of platforms like TikTok, Vimeo and YouTube — was difficult to search across due to the technical barriers posed by context understanding. Image Credits: Twelve Labs.
It utilized Generative AI technologies including large language models like GPT-4, which uses natural language processing to understand and generate human language, and Google Gemini, which is designed to handle not just text, but images, audio, and video.
At Linux Academy, we have the most extensive learn-by-doing library of cloud training and the largest on-staff training team in the e-learning market. Our training team is the key to our course success, especially when it comes to Azure. These environments give you knowledge and experience you won’t see in a standalone video.
AI services require high resources like CPU/GPU and memory and hence cloud providers like Amazon AWS, Microsoft Azure and GoogleCloud provide many AI services including features for genAI. For example, OpenAI uses a token-based model, while Synthesia.io (to generate AI Video) charges per minute of video generated.
If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free GoogleCloud training. GoogleCloud Free Program. GCP’s free program option is a no-brainer thanks to its offerings. .
If you’re looking to tune up your Microsoft Azure knowledge, contemplating a cloud computing career, or want to show value to a potential employer, there’s never been a better time than now to seize the opportunity to learn with a few free Azure training resources. Microsoft Azure’s Own Training Resources.
Azure training is at the top of our most-requested list, so we are proud to announce that we’re addressing the demand. We have opened multiple positions for Azure experts and are looking to hire more Azure content creators. Provision a SQL Data Warehouse Instance in Azure. Creating an Action Group in Azure.
If you’re curious to hear more insights from Kiki Boonen, Steven Nooijen, and Niels Zeilemaker, check out the video recording here. Exploring Motherduck and DuckDB: Interested in the cutting-edge features of Motherduck and the underlying DuckDB technology?
At Linux Academy, we have the most extensive learn-by-doing library of cloud training and the largest on-staff training team in the e-learning market. Our training team is the key to our course success, especially when it comes to Azure. These environments give you knowledge and experience you won’t see in a standalone video.
For instance, you can store videos on an object storage managed by DigitalOcean, transcribe the audio from those video files on GoogleCloud using Google’s speech-to-text API and save the results on another object storage bucket. You can move and process data based on a fixed schedule or based on events.
It’s one thing to watch a video and answer quiz questions; it’s another thing entirely to get into the workflow of a product and see how it work hands-on. Spin up a GoogleCloud Sandbox and have fun! Jump in and learn GoogleCloud by doing with these latest courses. Real-World Training Environments.
To that end, we’re excited to announce major updates to Kentik Cloud that will make your teams more efficient (and happier) in multi-cloud. Today, we’re unveiling Kentik Map for Azure and extensive support for Microsoft Azure infrastructure within the Kentik platform.
Services like video streaming, gaming, media-intensive advertising and marketing technology are putting more strain on bandwidth and backend latency than ever before due to the surge of online traffic in the last year.
In these video announcements, we introduced the newest courses, Hands-On Labs, and Learning Paths available. While we have enjoyed creating these Youtube videos, we have made the official move to give you a single source of truth, in text form, of all things new at Linux Academy. Certification Courses: Azure AI-100 Exam Preparation.
To continually support your mission to learn and grow, we encourage you to try these free courses and resources for developing and advancing your Cloud skills. Courses Free in January : Implementing Azure DevOps Development Processes. AzureCloud Services and Infrastructure. GoogleCloud Essentials (NEW).
Regardless of the catalyst (and despite a number of benefits), one outcome is always the same: limited visibility into end-to-end performance across AWS, Azure, GCP, and on-prem. This is in addition to cloud VPC flow logs and other Kentik data sources for cloud and hybrid environments: NetFlow, sFlow, IPFIX, J-Flow, and sFlow-RT logs.)
Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and GoogleCloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.
Today, I’m excited to announce our brand new hands-on lab offering for GoogleCloud. GoogleCloud is rapidly becoming a must-have tool in the enterprise toolbox. It’s rapid adoption and growth has made it an ideal platform for Disaster Recovery setups as well as primary cloud application hosting.
To continually support your mission to learn and grow, we encourage you to try these free courses and resources for developing and advancing your Cloud skills. Courses Free in February : Implementing Azure DevOps Development Processes. AWS Cloud Services and Infrastructure – Cost Optimization Deep Dive. Azure Concepts.
Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. Second, the company funnels its engineers to a version of ChatGPT running on a private Azurecloud. We had Azure certified as a new sub-processor on our platform,” says Fields. “We It’s blocked.”
Built on Kubernetes, the custom platform works as a cloud-agnostic solution that can be deployed on Amazon Web Services (AWS), GoogleCloud and TensorFlow. TrueFoundry considers Amazon, Google and Microsoft Azure as some of its key competitors as they also have their native machine learning platforms.
The Birth of Azure Sandbox. And three weeks later, we launched the first AWS Cloud Sandbox. About 2 months later, we followed it up with our GoogleCloud Sandbox , and today, we are announcing our AzureCloud Sandbox! And they are always automatically available to you in our Cloud Playground.
The Birth of Azure Sandbox. And three weeks later, we launched the first AWS Cloud Sandbox. About 2 months later, we followed it up with our GoogleCloud Sandbox , and today, we are announcing our AzureCloud Sandbox! And they are always automatically available to you in our Cloud Playground.
The API also powers TasteDive, a social media app with a built-in entertainment recommendation engine for films, TV shows, music, video games and books that Qloo acquired in 2019. “Qloo is differentiated because of its deep dataset and existing knowledge base across domains including music, products, travel and more.
The cloud services sector is still dominated by Amazon and the other so-called “hyperscalers” — e.g. the Microsoft Azures, GoogleCloud Platforms and IBM Clouds of the world. The adoption of cloud storage skyrocketed during the pandemic, fueled by the rise of remote and hybrid work.
Companies build a data platform — as they call it — in one of the big three clouds [Amazon Web Services, GoogleCloud, Microsoft Azure]. For instance, Facebook miscalculated average video view times for several years. Those are data-heavy products. But what happens if there’s an issue in your data workflows?
GoogleCloud Essentials (NEW). This course is designed for those who want to learn about GoogleCloud: what cloud computing is, the overall advantages GoogleCloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Azure Concepts.
GoogleCloud Functions is a serverless, event-driven, managed platform for building and connecting cloud services. It’s a code-centric service where the functions you write can be triggered by an HTTP request or any number of cloud events—both on and off GoogleCloud. GoogleCloud Essentials (NEW).
More recently, Hughes has begun building software to automate application deployment to the GoogleCloud Platform and create CI/CD pipelines, while generating code using agents. Today, the platform can support OpenAI, OpenAI on Azure, Google’s Gemini, or Anthropic’s Claude.
We just released 20 new cloud computing help videos–most of them less than two minutes in length–designed to help with AWS, Azure, GoogleCloud and SFTP Gateway. Most of these videos are less than two … 20 cloud computing help videos to turn you into an expert on SFTP Gateway and more Read More ».
GoogleCloud Platform offers a range of machine types optimized to meet various needs. With so much to choose from, finding the right GoogleCloud machine type for your workload can get complicated. Since we’ve gone over EC2 instance types and Azure VMs , we’re doing an overview of each GCP machine type.
Instead of simply watching videos, Hands-On Labs deploy real environments with scenarios for you to complete. Keep in mind that we have a library of over 600 Hands-On Labs across many categories such as Azure, AWS, GoogleCloud, Linux, DevOps, Containers, Security, and more. Written guide. Architectural Diagram.
There are a wide range of Microsoft Azure VM types that are optimized to meet various needs. With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and GoogleCloud machine types ).
Implement And Manage Application Services (Azure)- This course provides instructions on how to manage and maintain the infrastructure for the core web apps and services developers build and deploy. The Free Community Edition Membership includes flash cards, community access, and these courses (videos only unless otherwise noted).
GoogleCloud Essentials (NEW). This course is designed for those who want to learn about GoogleCloud: what cloud computing is, the overall advantages GoogleCloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Azure Concepts.
During the last week of July, we brought Azure home to Cloud Playground. We’ve already mentioned the new AzureCloud Playground, but that’s not the only new thing we have going on. We’ve already mentioned the new AzureCloud Playground, but that’s not the only new thing we have going on.
To learn more, watch our recent video explaining DevOps. Source: GoogleCloud. Microsoft Azure grants the opportunity to launch an MLOps using. The end-to-end MLOps lifecycle with Microsoft Azure. Setting up MLOps environment on GoogleCloud involves a number of services including.
CIS Google Kubernetes Engine (GKE) AutoPilot Benchmark v1.1.0 CIS Google Kubernetes Engine (GKE) Benchmark v1.7.0 In addition, CIS released a brand new Benchmark: CIS Microsoft Azure Storage Services Benchmark v1.0.0. government has published recommendations for protecting these operational technology (OT) components.
GoogleCloud Professional Cloud Security Engineer – Practice Exam. AZ-500: Microsoft Azure Security Technologies – FINAL EXAM. If you have stories like that, leave them in the comments for this blog, or in the comments section on our YouTube channel for this month’s video. Advanced VPC AWS.
Introduction to Migrating Databases and Virtual Machines to GoogleCloud Platform — This course covers the various issues of migrating databases and virtual machines to GoogleCloud Platform. If you are new to our platform, make sure to start your journey with How to Use Linux Academy ! _.
Self-hosted or Cloud : We can host and scale Strapi (open-source headless CMS) projects the way you want. We can save time by deploying Strapi Cloud or deploying to the hosting platform of your choice, such as AWS, Azure, GoogleCloud, or DigitalOcean.
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. Fine-tuning cloud LLMs by using vector embeddings from your data is already in private preview in Azure Cognitive Search for the Azure OpenAI Service.
Supported Content Types : Annotate across a wide range of formats including text, PDF, image, video, audio, and HTML. Enterprise-Grade Security: Runs securely on-prem, in air-gapped environments, or via cloud marketplaces (AWS/Azure). It supports a wide array of formats: images, videos, text, audio, PDFs, LiDAR (.pcd,las),
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