Heflin Stephen raj S
Menjadi anggota sejak 2019
Menjadi anggota sejak 2019
Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
Selesaikan badge keahlian pengantar Derive Insights from BigQuery Data untuk menunjukkan keterampilan dalam hal berikut: menulis kueri SQL, membuat kueri tabel publik, memuat sampel data ke dalam BigQuery, memecahkan masalah error sintaksis umum dengan validator kueri di BigQuery, dan membuat laporan di Looker Studio dengan menghubungkannya ke data BigQuery. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian ini dan penilaian akhir challenge lab untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Quest level dasar ini berbeda dari penawaran Qwiklabs lainnya. Lab-lab di dalamnya telah diseleksi guna membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Cloud Certified Professional Cloud Architect. Quest ini berisi lab-lab khusus yang akan menguji pengetahuan Anda seputar Google Cloud, mulai dari IAM, networking, hingga deployment Kubernetes Engine. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Harap diketahui, meskipun praktik dengan lab ini dapat meningkatkan keterampilan dan kemampuan Anda, sebaiknya pelajari juga panduan ujian serta referensi persiapan lain yang tersedia.
Selesaikan badge keahlian tingkat menengah Engineer Data for Predictive Modeling with BigQuery ML untuk menunjukkan keterampilan Anda dalam hal berikut: membangun pipeline transformasi data ke BigQuery dengan Dataprep by Trifacta; menggunakan Cloud Storage, Dataflow, dan BigQuery untuk membangun alur kerja ekstrak, transformasi, dan pemuatan (ETL); membangun model machine learning menggunakan BigQuery ML; dan menggunakan Cloud Composer untuk menyalin data di berbagai lokasi. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian dan challenge lab penilaian akhir untuk menerima badge digital yang dapat Anda bagikan ke jaringan Anda.
Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Selesaikan badge keahlian pengantar Prepare Data for ML APIs on 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 Dataproc, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud s ebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian ini dan challenge lab penilaian akhir, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Kubernetes adalah sistem orkestrasi container terpopuler, dan Google Kubernetes Engine khusus dirancang untuk mendukung deployment Kubernetes terkelola di Google Cloud. Dalam quest tingkat lanjut ini, Anda akan mendapatkan praktik langsung mengonfigurasi image Docker, container, dan men-deploy aplikasi Kubernetes Engine yang berjalan sepenuhnya. Quest ini akan mengajarkan keterampilan praktis yang diperlukan untuk mengintegrasi orkestrasi container ke dalam alur kerja Anda. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Challenge lab ini tidak menyediakan langkah-langkah preskriptif, tetapi menuntut Anda mem-build solusi dengan panduan minimal, dan akan menguji keterampilan Anda dalam menggunakan teknologi Google Cloud.
Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional Challenge Lab at the end of the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.
Quest level dasar ini berbeda dengan penawaran Qwiklabs lainnya. Semua lab yang termasuk dalam level ini telah diseleksi untuk membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Professional Cloud Architect . Dari IAM, hingga jaringan, dan penerapan Kubernetes Engine, quest ini tersusun atas sejumlah lab spesifik yang akan menguji pengetahuan Anda tentang GCP. Harap diketahui bahwa, meskipun praktik dengan lab ini akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga mempelajari panduan ujian serta referensi persiapan lain yang tersedia.
Quest level dasar ini berbeda dari penawaran Qwiklabs lainnya. Lab-lab di dalamnya telah diseleksi guna membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Associate Cloud Engineer. Quest ini berisi lab-lab khusus yang akan menguji pengetahuan Anda seputar Google Cloud, mulai dari IAM, networking, hingga deployment Kubernetes Engine. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Harap diketahui, meskipun praktik dengan lab ini dapat meningkatkan keterampilan dan kemampuan Anda, sebaiknya pelajari juga panduan ujian serta referensi persiapan lain yang tersedia.
Jika Anda adalah developer cloud pemula yang menginginkan praktik langsung di luar Getting Started - Create and Manage Cloud Resources, artinya quest ini cocok untuk Anda. Anda akan mendapatkan pengalaman praktik melalui lab yang mendalami Cloud Storage dan layanan aplikasi utama lainnya, seperti Stackdriver dan Cloud Functions. Dengan mengambil quest ini, Anda dapat mengembangkan kemampuan berharga yang dapat diterapkan di semua inisiatif Google Cloud. Selesaikan quest ini, termasuk challenge lab di akhir quest, untuk menerima badge digital eksklusif dari Google Cloud. Tersedia video berdurasi 1 menit yang akan membantu Anda memahami konsep utama lab-lab ini.
If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
Selesaikan pengantar badge keahlian Implement Load Balancing on Compute Engine untuk menunjukkan keterampilan berikut ini: menulis perintah gcloud dan menggunakan Cloud Shell, membuat dan men-deploy virtual machine di Compute Engine, serta mengonfigurasi jaringan dan load balancer HTTP. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan yang interaktif. Selesaikan badge keahlian ini, dan penilaian akhir Challenge Lab, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Learn how the Google Cloud ecosystem can help you build secure, scalable and intelligent cloud native applications and experience seamless integration between Google services and APIs to create intelligent apps. Dive deep into key solutions to common use cases and gain hands-on experience with App Engine, Stackdriver and the Places API, plus score points and compete with other players in today's game.
Welcome, gamers! Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become one of the Cloud Heroes! Today's game is all about Big Data and Machine Learning. You will compete to see who can finish the game with the most points. Speed is important, and so is accuracy! Start taking the game labs to score points. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with the lab to get the maximum points. You can take each lab up to 5 times.
Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become one of the Cloud Heroes! Today's game is all about Core Infrastructure. You will compete to see who can finish the game with the most points. Speed is important, and so is accuracy! Earn the most 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.
You guys are awesome. Two thousand of you joined the Cloud ACE challenge. Congratulations to everyone - you started 2020 strong by adding to your skillset and strengthening your appeal on the job market. Ready for the next step? After Cloud ACE, consider a professional level certification. Today's game will get you even deeper into advanced cloud use cases and put your new skills to the test. Are you ready?
Happy Lunar New Year from Qwiklabs! Begin your new year with an exciting game full of fun and learning. Play this game and complete the labs from the Cloud Architecture Quest and get a headstart for your certification preps!
With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
Quest level dasar ini berbeda dengan penawaran Qwiklabs lainnya. Semua lab yang termasuk dalam level ini telah diseleksi untuk membekali profesional IT dengan praktik langsung tentang berbagai topik dan layanan yang diujikan dalam Sertifikasi Google Cloud Certified Associate Cloud Engineer. Dari IAM, hingga jaringan, dan penerapan Kubernetes Engine, quest ini tersusun atas sejumlah lab spesifik yang akan menguji pengetahuan Anda tentang GCP. Harap diketahui bahwa, meskipun praktik dengan lab ini akan meningkatkan keterampilan dan kemampuan Anda, sebaiknya Anda juga mempelajari panduan ujian serta referensi persiapan lain yang tersedia.
This is the second of two Quests of hands-on labs 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 second Quest, covering chapter 9 through the end of the book, you extend the skills practiced in the first Quest, and run full-fledged machine learning jobs with state-of-the-art tools and real-world data sets, all using Google Cloud tools and services.
Whoa, it's 2020 and you want to accelerate your career! But you don't know where to start. Have you considered getting Google Cloud certified? Get hands-on practice with the GCP Console in today's game. Bonus, these labs will advance you towards completing the Cloud ACE 30-day challenge!
Have you joined the Cloud ACE 30-day challenge yet? Jump ahead of the pack with today's game. You'll get hands-on experience with key Google Cloud tools and you'll be 4 labs closer to completing the challenge and earning your badge. Play to ACE your new year's resolutions!
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.
Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model. 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 this quest to receive an exclusive Google Cloud digital badge.
Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, 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.
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.
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.
It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. 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 this quest to receive an exclusive Google Cloud digital badge.
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
Learn how to develop applications in Microsoft Visual Studio leveraging AWS services.
Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
Dalam quest level pendahuluan ini, Anda akan mendapatkan praktik langsung dengan aneka fitur dan layanan dasar Google Cloud Platform. Dasar-Dasar GCP adalah Quest pertama yang direkomendasikan bagi peserta kursus Google Cloud—Anda dapat memulai dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan selesai dengan pengalaman praktis yang dapat diterapkan pada project GCP pertama Anda. Mulai dari menulis perintah Cloud Shell dan menerapkan mesin virtual pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar GCP merupakan pengenalan terbaik pada fitur-fitur dasar platform cloud. Setiap lab disertai video berdurasi 1 menit yang akan memandu Anda memahami berbagai konsep penting.
Welcome Gamers, Here's a fun opportunity for you to get yourself familiarized with Isitio. Earn the most 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. Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges!
Have fun with this interesting game and get some hands on Stackdriver, Docker and Python. Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges!