Google Cloud Platform Big Data & Machine Learning Fundamentals

This course will introduce you to Google Cloud’s big data and machine learning functions. You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.

Course Objectives:

  • Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
  • Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
  • Employ BigQuery and Cloud SQL to carry out interactive data analysis.
  • Choose between different data processing products in Google Cloud.
  • Create ML models with BigQuery ML, ML APIs, and AutoML.

Target Audience

  • Data analysts, data scientists, and business analysts who are getting started with Google Cloud.
  • Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results, and creating reports.
  • Executives and IT decision makers evaluating Google Cloud for use by data scientists.

Prerequisites

Roughly one year of experience with one or more of the following:

  • A common query language such as SQL.
  • Extract, transform, and load activities.
  • Data Modeling
  • Machine learning and/or statistics.
  • Programming in Python.

Course Outline

The course includes presentations, demonstrations, and hands-on labs.

  • Module 1: Introducing Google Cloud Platform
    • Explain the advantages of Google Cloud Platform
    • Define the components of Google’s network infrastructure, including Points of presence data centers, regions, and zones
    • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
  • Module 2: Getting Started with Google Cloud Platform
    • Identify the purpose of projects on Googlue Cloud Platform
    • Understand the purpose of and use cases for Identity and Access Management
    • List the methods of interacting with Google Cloud Platform
    • Lab: Getting Started with Google Cloud Platform
  •  Module 3: Virtual Machines and Networks in the Cloud
    • Identify the purpose of and use cases for Google Compute Engines
    • Understand the various Google Cloud Platform networking and operational
    • tools and services.
    • Lab: Compute Engine
  •  Module 4: Storage in the Cloud
    • Understand the purpose of and use cases for Google Cloud Storage, Google
    • Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
    •  Learn how to choose between the various storage options on Google Cloud
    • Platform.
    • Lab: Cloud Storage and Cloud SQL
  •  Module 5: Containers in the Cloud
    • Define the concept of a container and identify uses for containers.
    • Identify the purpose of and use cases for Google Kubernetes Engine and
    • Kubernetes.
    • Lab: Kubernetes Engine
  •  Module 6: Applications in the Cloud
    • Understand the purpose of and use cases for Google App Engine.
    • Contrast the App Engine Standard environment with the App Engine Flexible
    • Environment.
    • Understand the purpose of and use cases for Google Cloud Endpoints.
    •  Lab: App Engine
  •  Module 7: Developing, Deploying, and Monitoring in the Cloud
    • Understand options for software developers to host their source code.
    • Understand the purpose of template-based creation and management of resources.
    • Understand the purpose of integrated monitoring, alerting, and debugging.
    • Lab: Deployment Manager and Stackdriver
  •  Module 8: Big Data and Machine Learning in the Cloud
    • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
    • Lab: BigQuery

Schedule

DateTimeCourse Fee per pax
(10% VAT excluded)
TrainerVenueRegistration
28 Jun 20219:00 – 17:00 WIBRp 7 million
FREE
Elkana PariwonoOnlineDAFTAR
TBA: To be announced

Testimonial

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Contact us

For more information about this course, feel free to drop us your questions by filling in the form on the right side.

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