Google Cloud Platform Fundamentals: Big Data and Machine Learning

Mouhannad Al Ama

This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform. ...

Price
RM1,280.00
HRDC Claimable

Upskill
Part Time
In Person
8 Hours: 10am - 6pm
Upcoming Courses
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
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

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

    Complete Reskill Programs: Absolutely! The certificate will be issued by airasia academy and powered by Google Cloud.

    Byte Sized Courses: Yes, we will award you with a certificate for all byte-sized courses with EIGHT (8) learning hours and above. The certificate will be issued by airasia academy and powered by Google Cloud. If you completed less than 8 hours, no certificate will be given.

    BINA Digital: Yes, we will award you with a certificate upon full attendance of the programme. The certificate will be issued by airasia academy and powered by Google Cloud.

  2. Can I get a job after attending the course?

    The certificate from airasia academy is recognised by the industry which is sufficient to land you a job. But, if you manage to stand out and earn excellent results, our trainers may recommend you to companies within the airasia group and Google Cloud ecosystem, or to their extensive network of businesses. That means you will have a good shot kickstarting a new career!

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

    You may drop us a WhatsApp message at 010-5008787. Kindly take note that our working hours are 9 am - 6 pm from Monday to Friday and our friendly team will reply to you as soon as we can. However, do expect a slight delay in reply in enquiries over the weekend. Or you can follow our social media accounts @airasiaacademy (Facebook, Instagram, Linkedin)

  4. What payment methods do you accept?

    We currently accept debit card and credit card. We're also happy to announce that we now have interest-free* instalment plans!

    *Interest-Free Instalment plans are currently available for ILT courses only, and applies to Maybank and Public Bank credit card holders, with a minimum purchase of RM500 and above.

  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.

  6. What is the difference between RCOC-B and RCOC-EVLOS Module 1?

    The Remote Pilot Certificate of Competency - Basic (RCoC-B) satisfies the requirements within the Specific category (medium risk category). The RCoC-B satisfies the competency requirements of a published *PDRA or *STS that involves *VLOS flights. The following operations usually falls within the specific category:

    • Agriculture
    • Flying the drone above 400ft
    • Flying Beyond Visual Line of Sight (BVLOS)
    • Pre-Defined Risk Assessment (PDRA)
    • Standard Scenario (STS)
    • Visual Line of Sight (VLOS)

    The Remote Pilot Certificate of Competency Extended Visual Line of Sight Module 1 (RCoC (EVLOS) Module 1) is an additional module which enables Extended Visual Line of Sight operations. The prerequisite for attending Module 1 is RCoC-B which will imply that all Remote Pilots are required to be competent on RCoC-B before attending the Module 1 course.

Meet your instructor
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.

Price
RM1,280.00
HRDC Claimable

Upskill
Part Time
In Person
8 Hours: 10am - 6pm