Google Cloud Fundamentals: Big Data and Machine Learning Fundamentals

Join us virtually for an exclusive session that introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle from 4th to 5th of December at 9:00 AM GMT+3.

Duration: 2 days x 4 hours/day

Level: Introductory

Prerequisites: Business or Technology background.

Virtual platform to join the session: Google Meet

Suitable for Kuwaiti individuals employed in technical or business fields and fresh graduates

Our Google Cloud expert will guide you through the world of big data and machine learning on Google Cloud. You'll learn about the key products and services that support the data-to-AI lifecycle, and explore the process of building data pipelines and machine learning models with Vertex AI.

What you’ll learn 

• Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning
• Design streaming pipelines with Dataflow and Pub/Sub
• Analyze big data at scale with BigQuery
• Identify different options to build machine learning solutions on Google Cloud
• Describe a machine learning workflow and the key steps with Vertex AI
• Build a machine learning pipeline using AutoML

Who is this course for?

• 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, visualizing query results, and creating reports
• Executives and IT decision makers evaluating Google Cloud for use by data scientists

Register now to reserve your spot. Limited seats available. 

To ensure efficient communication and registration, kindly use your official email address for signing up to the session. Please ensure that you are using the same email throughout the program. If you have a specific request, please contact us: TrainingDep@cait.gov.kw or call at 1888810 ext. :1010 at your earliest convenience.