Date: 8 June 2023

Mode: Live Virtual

Time: 9AM - 5PM (GMT +8)

Unlock your data’s potential with Google Cloud

Google Cloud provides a range of big data and machine learning products designed to help developers and businesses quickly and easily process data and create powerful ML models. Products such as BigQuery, Cloud SQL, Dataproc, and more offer advanced analytical capabilities that can be tailored to the specific needs of an organization. With these tools, users can transform large amounts of data into actionable insights which can be used to drive decision-making.

This course is ideal for those looking to get started with Google Cloud's big data and machine learning products. It covers the fundamentals of Google Cloud's product suite, helping users understand the best ways to process data and create ML models for their own unique needs.

Skills Covered :

• Recognize 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 Should Attend :

• 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

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