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Google Cloud Platform Essential Training

Google Cloud Platform makes the robust infrastructure of Google cloud including its high-speed network, servers, and software ;accessible to enterprise-level organizations and everyday web developers. In this course, the trainer introduces the service's core products: App Engine, Compute Engine, Cloud Storage, BigQuery, Cloud Datastore, and Cloud SQL.

Learn the basics of hosting a mobile app with App Engine and see how to analyze massive datasets in seconds with BigQuery. Then explore the benefits of Cloud Storage, including unlimited file storage and fast data retrieval, and learn how to establish a cloud-based private network with Compute Engine. Finally, the course explores how to set up and manage cloud-based databases with Cloud Datastore and Cloud SQL.

Topics include:

  • Why Google Cloud Platform?
  • Deploying an app with Google App Engine
  • Activating and working with Google Cloud Storage
  • Loading, querying, and exporting data with BigQuery
  • Working with Cloud Storage buckets
  • Managing cloud-based private networks
  • Importing and exporting data
  • Scheduling backups
  • Working with Google Datastore
  • Filtering data with Cloud SQL

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Course Code: CRS-N-0040835

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

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Course Details

Module 1. What Is the Google Cloud Platform?

  • Cloud and Compute Services
  • Storage and Data Services
  • Big Data Services
  • Other Services

Module 2. Why Use the Google Cloud?

  • Saving time and money with cloud services
  • Exploring Google's autoscaling and infrastructure
  • Understanding Google's compliance options
  • Getting to know the personality of the Google Cloud Platform
  • Finding helpful tools and libraries

Module 3. Getting Started with the Google Cloud

  • Setting up your account
  • Navigate to the GCP console
  • Work with location and projects
  • Understand Google Cloud Billing
  • Use APIs
  • Use Googel Cloud Security: IAM
  • About gcloud
  • Setup command line access with gcloud
  • Compare GCP and AWS

Module 4. Google Compute Services

  • Understanding Google Compute Service options
  • Google Compute Engine (GCE)
  • Google Container Engine with Kubermetes (GKE)
  • Google App Engine

Module 5. Using Google Database and Storage Services

  • Understanding database and storage options
  • Google Cloud Storage
  • Google Cloud SQL
  • Google Cloud Datastore
  • Google Cloud BigTable
  • Google Cloud BigQuery
  • Understanding Google Cloud Storage services

Module 6. Using Google Data Pipeline Services

  • Understand Google Pipelines
  • Google Pub/Sub
  • Google DataProc
  • Google Dataflow
  • Google Genomics API

Module 7. Google Machine Learning and Data Visualization

  • Understand Google Machine and Viz
  • Cloud Vision API
  • Cloud Speech API
  • Cloud Natural Langage API
  • Cloud Translation API
  • Cloud Video API

Module 8. Intro to Architecture (Optional)

  • Web/API Application Architecture
  • Big Data and Data Warehouse
  • Internet of Things
  • Bioinformatics

Who Should Attend

  • Data Analysts
  • Data Scientists
  • Web Developers




AWS and Cloud Computing TrainerTan Kwong Wei has extensive experiences in the IT industry, spanning across both application and infrastructure consulting, pre- sales, technical subject-matter-expert, evangelism and project management for enterprise clients. Proven communicator to engineers, stakeholders and CXOs. Ex-teaching assistant and instructor in National University of Singapore for Java, Microsoft solutions and programming. Also a Certified Ethical Hacker and ITIL professional.

Recently, he is a regional Business Solution Architect i.e. go-to technical person for Cloud, Microsoft, SAP, storage and data protection technologies e.g. Veritas, Commvault, Veeam solutions. Subject-matter-expert and consulting system engineer to field sales and pre-sales in winning deals. Collaborated with Technology Alliance Partners and Joint Channel Partners to develop joint solutions, building POCs and labs, executing technical enablement. Evangelized at industry events on topics around Public and Hybrid Cloud, Converged and Hyper-converged Infrastructure, Data Center Transformation, Storage for Mixed Environments, especially for Microsoft, SAP and Data Protection workloads and solutions.

AWS TrainerMr Oh Chin Boon has over a decade in the IT industry and extensive background covering a range of technologies, most notably Cloud Computing, specifically surrounding web application development and devops on Amazon Web Services (AWS).

Having three years of experience and exposure to AWS, he has built multiple highly concurrent full stack web applications on the AWS touching services such as EC2, VPC, Elastic LoadBalancer, S3, DynamoDB, RDS, CloudFront, CloudFormation, Lambda, API Gateway, ElastiCache, SNS, SES, and much more.

Big Data TrainerMohan is certified cloudera administrator and working as Big data architect in one of telecom Company. He has more than 12 years experience in the IT industry. His skill sets are Expertise in CDH,Hadoop, Spark, Scala, Hive/Hive-server2, Sqoop/Sqoop-Server2, Impala, Sentry, Kafka, solr, Hbase, Pig, Impala, Oozie, Fair scheduler,AWS,Map R. Provide the Big data consultancy services on Planning and sizing of Hadoop Cluster. Backup and recovery strategies, HA, Configure Hadoop security and authorization rules for Hive/Impala Jobs. Performance tunning of Map reduce Jobs, Spark jobs, Solr. Best Recommendations of Hardware and software for Solr,Hbase, Kafka,Zookeeper service ,Hadoop storage formats. Data Analysis using Impala, Impyla, spark. He graduated from S.V.University from India with a

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