Shehbab Kakkar
Member since 2019
Silver League
3400 points
Alexa Skills Development
Earned Oct 11, 2021 EDT
Big Data on AWS
Earned Jun 13, 2020 EDT
Corporate Apps on AWS for Windows
Earned Feb 26, 2020 EST
SysOps Administrator - Associate
Earned Feb 26, 2020 EST
DEPRECATED IoT in the Google Cloud
Earned Feb 8, 2020 EST
Websites & Web Apps
Earned Feb 8, 2020 EST
Scientific Data Processing
Earned Feb 7, 2020 EST
Databases on AWS for Windows
Earned Feb 7, 2020 EST
Google Kubernetes Engine Best Practices
Earned Feb 4, 2020 EST
Advanced Operations Using Amazon Redshift
Earned Jan 20, 2020 EST
安全性與身分識別基礎知識
Earned Jan 17, 2020 EST
Deprecated Kubernetes Solutions
Earned Jan 15, 2020 EST
Solutions Architect - Associate
Earned Jan 4, 2020 EST
DEPRECATED Application Development - Java
Earned Jan 4, 2020 EST
Deployment & Management
Earned Jan 3, 2020 EST
Compute & Networking
Earned Jan 3, 2020 EST
Serverless Web Apps using Amazon DynamoDB
Earned Jan 3, 2020 EST
Storage & CDN
Earned Jan 3, 2020 EST
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Jan 3, 2020 EST
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Jan 3, 2020 EST
DEPRECATED Application Development - Python
Earned Jan 1, 2020 EST
Google Kubernetes Engine Best Practices: Security
Earned Dec 31, 2019 EST
Solutions Architect - Professional
Earned Dec 29, 2019 EST
Serverless Design with AWS Lambda
Earned Dec 16, 2019 EST
雲端工程
Earned Dec 11, 2019 EST
Google Cloud 必備知識
Earned Dec 10, 2019 EST
Managing Cloud Infrastructure with Terraform
Earned Dec 10, 2019 EST
Cloud Development
Earned Dec 10, 2019 EST
DevOps 必備知識
Earned Dec 9, 2019 EST
Anthos: Service Mesh
Earned Dec 8, 2019 EST
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Dec 7, 2019 EST
Google Cloud 中的 Kubernetes
Earned Dec 7, 2019 EST
DEPRECATED Cloud Architecture
Earned Dec 7, 2019 EST
Security on AWS
Earned Dec 3, 2019 EST
In this Quest, you will learn how to create Alexa skills that respond to voice commands and which can be used on the Amazon Echo, Dot, and Tap devices. You will create back-end functions in AWS Lambda, and then connect them with voice response logic using the Alexa Skills Kit. You will use both the AWS Console and the Amazon Developer Portal in these labs, the latter requiring you to have or create a no-cost, no-credit-card-required account. No hardware device is required for any lab; an Alexa voice response simulation system is provided in the Amazon Developer Portal.
Templates used in these labs can be adapted and extended to create your own Alexa skills and offer them to the worldwide Alexa user community.
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Scientists, developers, and other technologists from many different industries are taking advantage of AWS to perform big data analytics and meet the challenges of the increasing volume, variety, and velocity of digital information. AWS offers a portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation. In this quest, you’ll learn to work with advanced services for Big Data.
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Learn how to deploy Microsoft Windows Server-based applications in the AWS cloud, including Microsoft Exchange, Dynamics CRM and SharePoint.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified SysOps Administrator - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.
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AWS offers services that provide businesses with a flexible, highly scalable, and low-cost way to deliver their websites and web applications. In this quest, you’ll learn to work with foundational services for marketing websites on AWS.
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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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Learn how to deploy and administer databases running on Microsoft Windows Server in Amazon EC2 and Amazon RDS.
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Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.
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In this Quest, you will delve deeper into the uses and capabilities of Amazon Redshift. You will use a remote SQL client to create and configure tables, and gain practice loading large data sets into Redshift. You will explore the effects of schema variations and compression. You will explore visualization of Redshift data, and connect Redshift with Amazon Machine Learning to create a predictive data model.
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Google Cloud 的服務在安全上絕不妥協， 因此開發了專用工具，確保所有專案安全無虞， 使用者也能妥善管理身分識別機制。在這堂入門課程中，您會實際使用 Google Cloud 的 Identity and Access Management (IAM) 服務， 練習管理使用者和虛擬機器帳戶。您將 佈建虛擬私有雲和 VPN 來熟悉網路安全功能，並瞭解有哪些工具 可防範資安威脅和資料遺失。
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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Associate Exam.
Visit AWS Certification to learn more about this exam and find more resources to prepare.
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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Java. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Java applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Java applications straight away.
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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.
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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).
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Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.
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In this Quest, you’ll learn to work with services related to Storage and Content Delivery Networks, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront.
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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.
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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.
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Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.
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Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Solutions Architect – Professional Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
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In this Quest, you will learn how to write functions with the AWS Lambda Service that respond to events and integrate other AWS Services. You will create applications that write records to Amazon DynamoDB, send messages with Amazon SNS, and monitor events in Amazon CloudWatch and external services. You will even write a back-end function in Lambda for creating a voice-response app for Alexa and the Amazon Echo.
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本入門課程有別於其他課程。 透過這些實驗室，IT 專業人員將有機會實際練習， 熟悉出現在 Google Cloud 助理雲端工程師認證中的主題和服務。本課程包含多個專門的實驗室，從 IAM、網路建立 到 Kubernetes Engine 部署作業， 可全面驗收您的 Google Cloud 知識。請注意，雖然進行這些 實驗室可提升您的技能和能力，但仍建議同時詳閱 測驗指南和其他可用的準備資源。
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在這堂入門課程，您將實際練習使用 Google Cloud 的基礎工具和服務。本課程包含可選擇觀賞的影片， 針對實驗室涵蓋的概念提供更多背景資訊，協助您複習。「Google Cloud 必備知識」 是適合 Google Cloud 學員的第一堂課， 即使您尚未學習或不熟悉雲端知識， 也能從這堂課獲得實務經驗，並應用於第一項 Google Cloud 專案。不管是撰寫 Cloud Shell 指令 和部署第一部虛擬機器，還是在 Kubernetes Engine 或透過負載平衡執行應用程式， 「Google Cloud 必備知識」都是認識平台基本功能的最佳入門資源。
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
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透過 DevOps 取得 競爭優勢。DevOps 作業涵蓋組織與文化層面，目標為加速推送軟體、 提高服務穩定性，並為所有軟體相關人員 建立共同擁有權。這堂課程說明如何使用 Google Cloud 提高軟體推送功能的速度、穩定性、可用性和安全性。 開發運作研究與評估計畫已新增至 Google Cloud。想知道自己的團隊表現如何嗎？完成 這個五道選擇題的測驗就能知道答案！
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This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
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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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Kubernetes 是最受歡迎的容器自動化調度管理系統，Google Kubernetes Engine 則專門支援 Google Cloud 中的 代管 Kubernetes 部署項目。這門進階課程將帶您實際練習設定 Docker 映像檔和容器，並部署完整的 Kubernetes Engine 應用程式。 您會學到如何將容器自動化調度管理機制， 整合到自己的工作流程，這些技巧相當實用。 想透過實作挑戰實驗室展現 技能、驗收學習成果嗎？本課程結束後，再完成 在 Google Cloud 部署 Kubernetes 應用程式課程 結尾的挑戰實驗室，即可獲得專屬 Google Cloud 數位徽章。
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This fundamental-level quest is unique amongst the other quest 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 Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
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