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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 South Africa facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

25 January 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

05 February 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

09 February 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

25 January 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

05 February 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

02 March 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

09 February 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

10 March 2025 (1 Day)
Cape Town, Durban, Johannesburg
Classroom / Virtual Classroom

Google Cloud Big Data and Machine Learning Fundamentals Training Course in South Africa

Formerly known as Union of South Africa, now officially known as Republic of South Africa is the Southernmost country in Africa. South Africa's population is over 60 million people, which makes the country the world's 23rd-most populous nation. South Africa has three capital cities: executive Pretoria, judicial Bloemfontein and legislative Cape Town, while the largest city is Johannesburg. The official languages of South Africa are Afrikaans, English, Ndebele, Pedi, Sotho, Swati, Tsonga, Tswana, Venda, Xhosa and Zulu.

South Africa can be rainy from November to February, so the best time to visit South Africa is from May to September. Despite the rainy season South Africa is a year-round destination, with varying regional climates. Blyde River Canyon, Durban, Drakensberg, Kruger National Park and of course, Cape Town are the tourist attractions of the country.

Expand your IT knowledge with our comprehensive range of courses, including programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our skilled instructors will facilitate hands-on training and share practical insights, all conveniently conducted at your preferred location within South Africa.

Google Cloud Big Data and Machine Learning Fundamentals Training in South Africa

Target Audience

Upcoming Trainings

Related Trainings

Google Cloud Big Data and Machine Learning Fundamentals Training in South Africa

Target Audience

Prerequisites

What You Will Learn

Outline

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Upcoming Trainings

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