GDATA

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Formats:  Asynchronous
Blended
Online
Onsite
Part-time
Level: Beginner
Required Prerequisistes
Basic IT concepts
Familiarity with data and databases

Formats: We offer our training content in a flexible format to suit your needs. Contact Us if you wish to know if we can accommodate your unique requirements.

Level: We are happy to customise course content to suit your skill level and learning goals. Contact us for a customised learning path.

Google Cloud Platform Fundamentals: Big Data & Machine Learning GDATA

In today's data-driven world, organizations that can effectively harness the power of big data and machine learning gain a significant competitive edge. This comprehensive training program, "Google Cloud Platform Fundamentals: Big Data & Machine Learning," equips you with the skills and knowledge to leverage Google Cloud's cutting-edge tools and services. You'll learn how to ingest, process, analyze, and visualize data at scale, unlocking valuable insights that drive informed decision-making and fuel innovation.

Target Audience

This course is ideal for:

  • Data Analysts
  • Data Scientists
  • Business Intelligence Professionals
  • IT Professionals
  • Anyone interested in leveraging big data and machine learning on Google Cloud

Prerequisites

While no formal prerequisites are required, a basic understanding of the following is recommended:

  • Basic IT concepts
  • Familiarity with data and databases
  • A willingness to learn!

Benefits of Attending

By attending this course, you will:

  • Gain practical experience with Google Cloud's big data and machine learning services.
  • Learn how to build data pipelines, perform data analysis, and create machine learning models.
  • Develop in-demand skills that are highly valued in the job market.
  • Enhance your career prospects and open up new opportunities.
  • Receive hands-on training from experienced instructors.

What You'll Learn

This course will empower you to:

  • Understand the core components of Google Cloud's big data and machine learning ecosystem.
  • Build and deploy scalable data pipelines using Dataflow and Pub/Sub.
  • Perform large-scale data analysis with BigQuery and BigQuery ML.
  • Create real-time dashboards with Google Data Studio.
  • Build and deploy machine learning models using pre-built APIs and custom models with AutoML.
  • Gain insights from unstructured data using natural language processing and image recognition.

Course Outline

Module 1: Introduction to Google Cloud

  • Overview of Google Cloud's Infrastructure
  • Key Big Data and ML Products on Google Cloud

Module 2: Product Recommendations Using Cloud SQL and Spark

  • Understanding Recommendation Models
  • Computing and Storing Model Results
  • Scaling with Dataproc (Hadoop in the Cloud)
  • Off-Cluster Storage Options

Module 3: Predicting Visitor Purchases Using BigQuery ML

  • Analyzing Big Data with BigQuery
  • BigQuery's Architecture for Scalable Queries and Data Storage
  • Machine Learning Fundamentals: Features, Labels, Training Data
  • Model Types for Structured Datasets
  • Building Custom ML Models with BigQuery ML

Module 4: Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio

  • Modern Data Pipeline Challenges and Solutions with Dataflow
  • Designing Streaming Pipelines with Apache Beam
  • Building Real-time Dashboards with Data Studio

Module 5: Deriving Insights from Unstructured Data Using Machine Learning

  • Business Use Cases for Unstructured ML Models
  • Choosing Between Pre-built and Custom ML Models
  • Building a High-Performing Image Classification Model with AutoML (No Code!)

Contact Us

Please contact us for any queries via phone or our contact form. We will be happy to answer your questions.

3 Appian Place,373 Kent Ave
Ferndale,
2194 South Africa
Tel: +2711-781 8014 (Johannesburg)
  +2721-020-0111 (Cape Town)
ZA

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