Name: Production Machine Learning Systems
Brand: Careervira
Price: 180 AUD
Availability: InStock
Rating: 5.0 (5 reviews)

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What will I get when I enroll?

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Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

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When will I receive my Course Certificate?

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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

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Why can’t I audit this course?

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This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

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Qwiklabs Terms of Service

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THIS TERMS OF SERVICE AGREEMENT (THE “AGREEMENT”), ALONG WITH THE PRIVACY POLICY LOCATED AT qwiklab.com/privacy_policy (THE “PRIVACY POLICY”), ESTABLISHES THE TERMS AND CONDITIONS APPLICABLE TO YOUR USE OF THE SERVICE (AS DEFINED BELOW) OFFERED BY CLOUD VLAB INC. (“CLOUD VLAB” OR ‘WE’). BY CLICKING THE "I ACCEPT" BUTTON DISPLAYED AS PART OF THE REGISTRATION PROCESS OR BY USING THE SERVICE OR ANY PORTION THEREOF, YOU ACCEPT AND AGREE TO BE BOUND BY THE TERMS AND CONDITIONS OF THIS AGREEMENT AND THE PRIVACY POLICY, INCLUDING ALL TERMS INCORPORATED HEREIN BY REFERENCE. IF YOU ARE ENTERING INTO THIS AGREEMENT ON BEHALF OF A COMPANY OR OTHER LEGAL ENTITY, YOU REPRESENT THAT YOU HAVE THE AUTHORITY TO BIND SUCH ENTITY TO THIS AGREEMENT, IN WHICH CASE THE TERMS "YOU" OR "YOUR" SHALL REFER TO SUCH ENTITY. 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If you have the Creator role, all sections of this agreement apply to you including sections that reference the Lab Service and the Lab Creation Service.“Lab Creation Service” means the services and functionality hosted by Cloud vLab and made available to you only if you have a “Creator role” on or through the Qwiklabs Site through which you may deploy, configure, customize, manage, administer, and control a virtual server for implementing and testing software as a part of your training through the Lab Service.“Lab Sponsor” means the company or other organization with whom you are employed or otherwise associated in connection with the Lab Service."Content" means any content or work of authorship created, owned or licensed by you only if you have a “Creator role’, submitted to the Lab Creation Service, and that is transmitted, rendered, displayed or executed on or through the Service, including without limitation any text, postings, audio, sounds, video, photos, images, messages, software, and materials.“Sponsor Content” means any content or work of authorship created, owned, or licensed by your Lab Sponsor and utilized in the Service.“Qwiklabs Technology” means all of Cloud vLab’s proprietary technology (including, but not limited to, software, hardware, products, processes, algorithms, user interfaces, know-how, techniques, designs, and other tangible or intangible technical material or information) made available to you by Cloud vLab in providing the Service, excluding Sponsor Content.“Qwiklabs Site” means the web site located at Qwiklab.com, and/or any related or successor URLs operated or controlled by Cloud vLab.“Resources” means any virtual or physical infrastructure provided to you by the Service.Use of the ServiceOverview of RightsThis Agreement applies to all use of the Service. 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You represent that you shall abide by all applicable local, state, national, and foreign laws and regulations in connection with your use of the Service, including, without limitation, those related to intellectual property and privacy (collectively, "Laws").You will not obscure or contravene or attempt to obscure or contravene any notices of or attribution to Cloud vLab displayed within the Service that relate to Cloud vLab’s role as a service provider.You will select and use a secure user password for your account and you agree not to share your password with any other party.Commercial Activities ProhibitedThe Resources may not be used for commercial advertising purposes or related promotional or commercial activities. 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By posting, uploading, inputting, providing or submitting Content, you hereby grant to Cloud vLab and its affiliated companies, Agents and necessary sublicenses a worldwide, perpetual, royalty-free license to (i) copy, reproduce, edit, translate, reformat, store, display, distribute, and perform Content on or through the Service in order to provide the Service; (ii) use and analyze the Content in furtherance of Cloud vLab’s internal business purposes or otherwise for the purpose of providing the Service; (iii) disclose metrics regarding Content on an aggregated basis for marketing and business development purposes; (iv) publish your name in connection with your Content; and (v) sublicense such rights to any supplier or third party in relation to the operation of the Qwiklabs business including the Service. 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The section headings herein are included merely for convenience of reference, do not limit or affect any of the contents of this Agreement, and are not to be considered part of, or to be used in interpreting, this Agreement. Cloud vLab may assign this Agreement at any time without prior notice to you. You may not assign this Agreement without the prior written consent of Cloud vLab, which consent may be withheld by Cloud vLab at its sole discretion. Any purported assignment by you in violation of this section shall be void. This Agreement, which incorporates the Cloud vLab Privacy Policy comprises the entire agreement between you and Cloud vLab and governs your use of the Service, superseding all prior or contemporaneous negotiations, discussions or agreements, whether written or oral, between the Parties regarding the subject matter hereof.Last Updated: September 1, 2015

Production Machine Learning Systems

Course Features

Course Description

Module 1: Introduction to Advanced Machine Learning on Google Cloud

Module 2: Architecting Production ML Systems

Module 3: Designing Adaptable ML Systems

Module 4: Designing High-Performance ML Systems

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