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This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.

Target Audience

Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform.
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 Platform for use by data scientists.

To get the most of out of this course, participants should have:

Basic proficiency with common query language such as SQL.
Experience with data modeling, extract, transform, load activities.
Developing applications using a common programming language such Python.
Familiarity with machine learning and/or statistics.

Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.
Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.
Employ BigQuery and Cloud Datalab to carry out interactive data analysis.
Train and use a neural network using TensorFlow.
Employ ML APIs.
Choose between different data processing products on the Google Cloud Platform.

Session 1

Welcome

Facility Logistics

1 Introduction to Google Cloud Platform

Google Cloud Platform infrastructure and big data products
Demo: BigQuery Github query
The different data roles in an organization
What you can do with GCP
Activity: Explore a customer use case
Lab 1: Exploring a Public Dataset with BigQuery

2 Product Recommendations using Cloud SQL and Spark

Compare Google Cloud Big Data products and services
Managed Hadoop in the cloud
Demo: Creating a Cluster
Your SQL database in the cloud
Lab 2: Product Recommendation using Cloud SQL and Spark

3 Predicting Visitor Purchases using BigQuery Machine Learning

Introduction to BigQuery
Fast SQL Query Engine
Managed Storage for Datasets
Demo: Google Sheets to BQ
Insights from Geographic data
Demo: BigQuery ML
Creating ML models with SQL w/BigQuery ML
Lab 3: Predicting Visitor Purchases BigQuery ML

Session 2

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

Introduction
Message-oriented architectures
Serverless data pipelines
Data Visualization w/Data Studio
Lab 4: Real-time Dashboards with Pub/Sub, Dataflow, and Data Studio

5 Deriving Insights from Unstructured Data using Machine Learning

Introduction to Machine Learning
Pre-built ML models
Demo: Cloud Vision API
Codeless ML with AutoML
Lab 5: Classify Images using AutoML

6 Summary

Recap of lesson

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Upcoming Trainings

Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

25 January 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

05 February 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

09 February 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

25 January 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

05 February 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

02 March 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

09 February 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

10 March 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom

Google Cloud Big Data and Machine Learning Fundamentals Training Course in Canada

Canada is a North American country. Known as the second-largest country of the world, Canada’s capital city is Ottawa. Toronto, Vancouver and Montreal are the biggest and most popular cities of this country. The 8,891-kilometer southern and western border between Canada and the United States is the world's longest intergovernmental land border. This country also has the longest coastline in the world.

Canada is a constitutional monarchy. The country was originally a British Empire colony and is now a part of the British Commonwealth. Both French and English are Canada’s official languages. Canada’s national animal is a beaver and the its flag design is a vertical triband of red and white with a red maple leaf charged in the centre. Some of the top-rated tourist attractions in Canada are Niagara Falls, Banff National Park and Rocky Mountains, CN Tower in Toronto City, Bay of Fundy, Old Quebec (Vieux-Quebec in French), the ski resort of Whistler, Ottawa's Parliament Hill and Vancouver Island.

Choose from our extensive selection of IT courses, covering programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Our highly skilled instructors will deliver hands-on training and valuable insights at a location of your choice within Canada.

Google Cloud Big Data and Machine Learning Fundamentals Training in Canada

Target Audience

Upcoming Trainings

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Google Cloud Big Data and Machine Learning Fundamentals Training in Canada

Target Audience

Prerequisites

What You Will Learn

Outline

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Upcoming Trainings

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