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Overview

In this course you will learn how to use various tools in Google Cloud to ingest, manage and leverage your data to derive insights in your research. You will be introduced to tools used on Google Cloud by researchers, then you will learn how to ingest your unstructured and structured data into Cloud Storage and BigQuery respectively. Next, you will learn how to curate your data and understand costs in Google Cloud. Finally you will learn how to leverage notebook environments and other Google Cloud tools for descriptive and predictive analysis.
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What You'll Learn

  • Understand products available in Google Cloud for research
  • Load unstructured and structured data into Google Cloud
  • Manage access and sharing your data on Google Cloud
  • Understand costs on Google Cloud
  • Leverage Jupyter Notebook environments in Vertex AI Workbench
  • Utilize machine learning solutions on Google Cloud

Who Should Attend

Customers
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Prerequisites

  • Basic knowledge of data types and SQL
  • Basic programming knowledge
  • Machine learning models such as supervised versus unsupervised model

Learning Journey

Coming Soon...

Module 01: Google Cloud Demos for Researchers

  • Demo: Provision Compute Engine virtual machines
  • Demo: Query a billion rows of data in seconds using BigQuery
  • Demo: Train a custom vision model using AutoML Vision

Module 02: Google Cloud Project Concepts

  • Organizing resources in Google Cloud
  • Controlling Access to projects and resources
  • Cost and billing management

Module 03: Computing and Storage in Google Cloud

  • Interacting with Google Cloud
  • Create and Manage Cloud Storage Buckets
  • Compute Engine virtual machines
  • Understanding computing costs
  • Introduction to HPC on Google Cloud

Module 04: BigQuery

  • BigQuery fundamentals
  • Querying public datasets
  • Importing and exporting data in BigQuery
  • Connecting to Looker Studio

Module 05: Notebooks on Vertex AI

  • Vertex AI
  • Vertex AI Workbench
  • Connecting Jupyter notebooks to BigQuery

Module 06: Machine Learning on Google Cloud

  • ML Options on Google Cloud
  • Prebuilt ML APIs
  • Vertex AI AutoML
  • BigQuery ML

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Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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Improve yourself and your career by taking this course.

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