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Google Cloud Platform Big Data & Machine Learning Fundamentals Training

Google Cloud Platform Big Data and Machine Learning Fundamentals is designed for professional learners to learn the concepts and tools needed to analyze large datasets and build machine learning models using Google Cloud Platform. In this course, you will learn data processing with Apache Beam, data storage with BigQuery, and building machine learning models using TensorFlow.

Course syllabus
Price: $500 - $600
  • Introduction to Google platforms
  • Fundamentals of Computing and storage
  • Introduction to data analytics
  • Concepts of machine learning

About Google Cloud Platform Big Data & Machine Learning Fundamentals

  • Google cloud is secured, cost-effective and suitable for all the enterprises. Google cloud is open source cloud service supporting data analytics and machine learning. Enterprises can move their data quickly and securely both online and offline. You can develop and deploy your applications and transformative tools to face the challenging digital world.

    Our training program in Google Cloud Platform Big Data & Machine Learning will give you the fundamental knowledge of Google platform cloud, data processing methods, and machine learning capabilities.

Google Cloud Platform Big Data & Machine Learning Fundamentals Course Content

  • Course Overview

    We have created our course curriculum in a systematic and step-by-step manner for you to grasp and assimilate the subject well. Our training will help you to understand the value of big data and machine learning products in the Google platform. You will learn interactive data analysis using Big query and cloud data lab. You will appreciate the usage of a neural network with TensorFlow. You will learn to use machine language API.

    We have highly qualified and industry expert faculty who will guide you in every stage of learning. We provide 24/7 LMS support. We will give you the necessary training materials and learning videos to understand the subject. 

  • Prerequisites

    To learn this course, it is advised to have a basic understanding of SQL. You should have programming knowledge to develop applications. You should also have a fundamental knowledge of statistics and machine learning. You should have hands-on experience in handling data, data modeling, extraction and transformation of data.

    This course is designed:

    • All the candidates who want to pursue their career in the Google cloud platform
    • Data scientists
    • Data analysts
    • Business analysts
    • Data experts responsible for data structure architecture
    • Data experts involved in data creation, and processing
    • Data experts responsible for designing statistical models
    • Data experts are creating queries on data set, and visualizing results from the query.
    • Data experts are generating reports.

Google Cloud Platform Big Data & Machine Learning Fundamentals Course Syllabus

  • Introduction to Google platforms

    In this module you will learn about Google Platform Fundamentals

    • Fundamentals of the Google platform
    • Overview of Google cloud platform for big data products


  • Fundamentals of Computing and storage

    In this module you will learn about Computing and storage

    • Fundamentals of cloud storage
    • Fundamentals of cloud shell
    • Overview of CPUs on demand
    • Introduction to data ingest, storage and federated analysis
  • Introduction to data analytics

    In this module you will learn about data analytics

    • Introduction to SaaS and cloud computing.
    • Introduction to Cloud SQL.
    • Fundamentals of SQL database on the cloud.
    • Fundamentals of Spark on Dataproc
  • Scaling data analytics

    In this module you will learn about Scaling data analytics

    • Fundamentals of data analytics using python
    • Learn to access data
    • Fundamentals of Big Query
    • Learn to build machine learning dataset
  • Concepts of machine learning

    In this module you will learn about machine learning concepts

    • Fundamentals of machine learning with TensorFlow.
    • Introduction to pre-built data models.
    • Fundamentals of machine language API
  • Data processing architecture

    In this module you will learn about Data processing architecture

    • Learn to create data flows and pipelines
    • Fundamentals of message-oriented with PUB/SUB
    • Fundamentals of real-time architecture for real-time and batch data-processing

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