Google Cloud Platform

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Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, and YouTube.

GCP Certification Training Course

Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more.

Course Content

  • In this module I will Start with Data 1. Data Engineering & GCP Basic Servicesengineering pipeline,

    Different Types of data : structure data, semi-structured data, unstructured data, some concept related to batch data processing and stream data GCP related concepts like GCP region and Zones, how to create a GCP account & various GCP service being offered from the data engineering perspective.

    Then we’ll see about GCP basic infrastructure services like IAM, VM, kubernetes provisioning, app engine, cloud run and cloud function deployment.”

  1. In this module I will teach you different Data storage product for storing unstructured data, Google cloud storage, file Store, persistent disk storage, local SSD storage and how to do data migration from on-premise to GCP. “
  1. In this module I will teach you Database solution for storing structured data & semi-structured data.
    For storing structured data inside GCP we have a Google cloud SQL and a cloud spanner is available.
    For semi-structured data inside the GCP we have a Google cloud BigTable, DataStore/firestore and for in memory power MemoryStore available
  • In This Data processing section we will begin with Data warehousing analytical data processing solution google cloud BigQuery and for asynchronous communication we will see Google cloud PubSub services.

    For developing complete pipeline inside GCP –
    Dataflow Apache beam solution inside Google cloud
    Google cloud DataProc for lift and shift Hadoop and Spark job
    Without writing code with just drag and drop build complete pipeline with cloud Data fusion
    Monitor Author and schedule a complete workflow we have a Apache airflow – Cloud Composer is available
    For sensitive and personally identifiable data detection Data loss prevention API – DLP
    Search for or all data set at one single place Data Catalog is available.

  • In this module we will begin with basics of Machine learning
    Prepare your data with intelligent data preparation tool Dataprep before throwing all your data to a machine learning algorithm
    We will see different pre-built machine learning API for vision, language and speech
    Double auto machine learning model with AutoML
    Building custom machine learning model with various framework life tensorflow, scikit learn and Pytorch
    Bigquery ML for machine learning training with sql

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GCP Course Overview

Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.

Google Cloud Certification Key Features

Skills Covered

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In Group

  • Learners can share insights, ask questions, and engage in discussions, fostering a collaborative learning atmosphere.
  • Courses are typically designed with a set curriculum that aims to meet the learning objectives of the group as a whole.
  • Training sessions are scheduled at predetermined times, which can help learners maintain a consistent learning routine.

One on One

  • The trainer focuses solely on one student, allowing for immediate feedback, personalized guidance, and a learning pace that suits the individual.
  • One-on-one training often comes with the flexibility to schedule sessions at times that are most convenient for the learner, accommodating their personal and professional commitments.

Weekend Batch

  • Classes are usually held on weekends, making it convenient for those who are busy during the weekdays.
  • Since the classes are on weekends, the training sessions might be longer than typical weekday classes, aiming to cover the syllabus efficiently over a shorter period.

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