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Advanced Machine Learning on Google Cloud Specialization

Toronto, North America

The Non-degree in Advanced Machine Learning on Google Cloud Specialization at Google Cloud is a program for international students taught in English.

đź“– Introduction

​Google Cloud is a public, private cloud computing services provider that offers a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Google Cloud, a subsidiary of Alphabet Inc., was officially launched in 2008. It is renowned for its innovative technologies, including data analytics, machine learning, and artificial intelligence, as well as its global network infrastructure, which ensures low latency and high availability. Google Cloud distinguishes itself with its commitment to sustainability, operating the cleanest cloud in the industry with the largest corporate purchase of renewable energy.

📚 About the Program

Specialization - 4 course seriesThis 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.Applied Learning ProjectThis specialization incorporates hands-on labs using our Qwiklabs platform.These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Specialization - 4 course seriesThis 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.Applied Learning ProjectThis specialization incorporates hands-on labs using our Qwiklabs platform.These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

🏫 About the University

Google Cloud provides a range of services including computing, data storage, data analytics, and machine learning. It offers tools like Google Cloud Platform (GCP), which provides a robust environment for developers to build, test, and deploy applications. Additionally, Google Cloud includes G Suite (now known as Google Workspace), a collection of productivity and collaboration tools such as Gmail, Docs, Drive, and Calendar. Google Cloud is designed to provide organizations with the tools they need to drive innovation, improve operational efficiency, and scale their services securely and reliably. Its client base spans various industries, including financial services, healthcare, retail, and education.

đź’° Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

âś… Entry Requirements

All students from all countries are eligible to apply to this program.

📬 Admissions Process


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