Google Cloud Fundamentals: Big Data and Machine Learning

Level
Upskill
Duration
8 Hours
Study Mode
Part Time
Study Type
In Person
Start Date
29 July, 2021
Price
RM 1,280
HRDF
Non-claimable
Buy Course
This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.
Upcoming Course Dates
26 May, 2021
Starting in 12 days
Apply
24 June, 2021
Starting in 41 days
Apply
29 July, 2021
Starting in 76 days
Apply
Trainer
Mouhannad Al Ama
Mouhannad is an experienced Solutions Architect and Tech Lead. He loves to use the power of the cloud to build innovative solutions. He works cross-functionally to ensure all solutions he's building and managing are scalable, fault-tolerant, secure, and following cloud best practices. Mouhannad is passionate about training and building tech communities. He's now leading the AWS User Group in Malaysia and has 9 certifications from GCP and AWS. He has strong leadership skills in tech and managing engineers, and he loves to build team cultures where everyone can grow fast.
Course Details
What to Expect

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.

In this course, participants will:

  • 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.
Recommended Path
  • Google Cloud Fundamentals: Core Infrastructure
  • Architecting with Google Compute Engine

These two courses are next in the Infrastructure modernization track for Cloud Engineers and part of the GCP Cloud Engineer Associate Exam preparation

Who Should Attend This Course
  • 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, visualising 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
General Program
  • Introducing Google Cloud Platform
  • Compute and Storage Fundamentals
  • Data Analytics on the Cloud
  • Scaling Data Analysis
  • Machine Learning
  • Data Processing Architectures
  • Summary
Certificate

Google Cloud Fundamentals: Big Data and Machine Learning Certificate of Completion

Course Dates & Schedule
Dates
26 May, 2021

8 Hours

24 June, 2021

8 Hours

29 July, 2021

8 Hours

FAQ
1.
Will I get a certificate at the end of the course?

Long Tracks: Yes, you will! The certificate will be issued by Redbeat Academy and endorsed by Google Cloud.

Byte Sized Courses: Yes, we will award you with a certificate for all byte sized courses with ten (10) learning hours and above. The certificate will be issued by Redbeat Academy and endorsed by Google Cloud.

BINA Digital: Yes, we will award you with a certificate upon full attendance of the program. The certificate will be issued by Redbeat Academy and endorsed by Google Cloud.

2.
Can I get a job after the course?

Your certificate is recognised by the industry which is sufficient to land you a job. If you stand out, our trainers may recommend you to companies within the airasia and Google Cloud ecosystem, or their extensive network of businesses.

3.
Who can I refer to get more insight on the courses?

You may drop us a message at Contact page. Our team will reply to you as soon as we can. Our working hours are 9am - 6pm on Monday to Fridays therefore do expect a slight delay in reply over the weekend.

4.
What payment methods do you accept?

Currently, we accept online bank transfer & credit card payment.

5.
Do you offer any free learning resources?

Yes, we do! Kindly refer to the Resources page. We have conducted free introductory sessions via our YouTube channel where you can watch it anytime and anywhere.



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