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Vishwas Badiger

Menjadi anggota sejak 2019

Bronze League

1300 poin
Menyiapkan Data untuk ML API di Google Cloud Earned Agu 11, 2021 EDT
Intro to Infrastructure Earned Apr 1, 2021 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network Earned Jul 14, 2020 EDT
Cloud Engineering Earned Jul 14, 2020 EDT
Dasar Pengukuran: Infrastruktur Earned Jul 13, 2020 EDT
Dasar-Dasar Google Cloud Earned Jul 11, 2020 EDT
Community Speedrun Challenge May #1: Baseline: Data, ML, AI Earned Mei 5, 2020 EDT
Data Science on Google Cloud Earned Okt 27, 2019 EDT
Scientific Data Processing Earned Okt 27, 2019 EDT
[DEPRECATED] Data Engineering Earned Okt 27, 2019 EDT
DEPRECATED BigQuery for Data Analysis Earned Okt 17, 2019 EDT
Dasar pengukuran: Data, ML, AI Earned Okt 13, 2019 EDT

Selesaikan badge keahlian pengantar Menyiapkan Data untuk ML API di Google Cloud untuk menunjukkan keterampilan Anda dalam hal berikut: menghapus data dengan Dataprep by Trifacta, menjalankan pipeline data di Dataflow, membuat cluster dan menjalankan tugas Apache Spark di Managed Service for Apache Spark, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API.

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Welcome Gamers! You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.

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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.

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Kursus pengantar ini unik dibandingkan penawaran kursus lainnya. Semua lab dalam kursus ini telah diseleksi untuk membekali profesional IT dengan praktik langsung terkait berbagai topik dan layanan yang muncul di Sertifikasi Associate Cloud Engineer yang Tersertifikasi Google Cloud. Dari IAM, networking, hingga deployment Kubernetes Engine, kursus ini terdiri atas beberapa lab khusus yang akan menguji pengetahuan Anda terkait Google Cloud. Perlu diketahui bahwa meskipun praktik dalam lab akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga meninjau panduan ujian dan referensi persiapan lainnya yang tersedia.

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Jika Anda adalah developer cloud pemula yang mencari praktik langsung di luar Google Cloud Essentials, kursus ini cocok untuk Anda. Anda akan mendapatkan pengalaman praktis melalui lab yang mendalami Cloud Storage dan layanan aplikasi utama lainnya seperti Monitoring dan Cloud Functions. Anda akan mengembangkan keahlian berharga yang dapat diterapkan untuk inisiatif Google Cloud apa pun.

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Dalam kursus tingkat pemula ini, Anda akan mendapatkan praktik langsung dengan alat dan layanan dasar Google Cloud. Video opsional disediakan untuk memberikan konteks dan ulasan lebih lanjut mengenai konsep-konsep yang dibahas dalam lab ini. Dasar-Dasar Google Cloud adalah kursus pertama yang direkomendasikan bagi peserta kursus Google Cloud— Anda bisa mengikutinya dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan mendapatkan pengalaman praktis yang dapat diterapkan pada project Google Cloud pertama Anda setelah menyelesaikan kursus ini. Mulai dari menulis perintah Cloud Shell dan men-deploy virtual machine pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar Google Cloud merupakan pengantar utama untuk fitur dasar platform ini.

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Welcome Gamers! In this game today, you will be having fun with BigQuery. Learn some interesting concepts like BigQuery Qwik start and Cloud ML Engine. Take labs to earn points. The faster you complete the lab objectives, the higher your score.

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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.

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Big data, machine learning, and scientific data? It sounds like the perfect match. In this course, you will get hands-on practice with GCP services like BigQuery, Managed Service for Apache Spark, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.

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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

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Big data, machine learning, dan kecerdasan buatan menjadi topik komputasi yang populer saat ini, tetapi bidang tersebut sangat terspesialisasi dan materi pengantarnya sulit diperoleh. Untungnya, Google Cloud menyediakan layanan yang mudah digunakan dalam bidang tersebut, dan melalui kursus tingkat pengantar ini, Anda dapat mengambil langkah pertama dengan alat seperti BigQuery, Cloud Speech API, dan Video Intelligence.

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