November 20, 2025 | 9 AM – 5 PM (CET)
Introduction to Data Analytics on Google Cloud
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Missed the live event? No problem! Contact us to learn about on-demand recordings or similar trainings.
Contact usDate
Nov 20, 2025
Time
9 AM to 5 PM (CET)
Location
Online – Google Meet
Language
English
Speakers
1
Speaker
Meet the cloud expert who will share his knowledge and expertise with you this afternoon.
Who Should Attend
This course if for
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u003cliu003eData Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud.u003c/liu003eu003cliu003eIndividuals 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.u003c/liu003eu003cliu003eExecutives and IT decision-makers evaluating Google Cloud for use by data scientists.u003c/liu003e
Objectives
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u003cliu003eIdentify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.u003c/liu003eu003cliu003eDesign streaming pipelines with Dataflow and Pub/Sub.u003c/liu003eu003cliu003eAnalyze big data at scale with BigQuery.u003c/liu003eu003cliu003eIdentify different options to build machine learning solutions on Google Cloud.u003c/liu003eu003cliu003eDescribe a machine learning workflow and the key steps with Vertex AI.u003c/liu003eu003cliu003eBuild a machine learning pipeline using AutoML.u003c/liu003e
What You Need to Know
Prerequisites
This training is open to all.
Certification
This course is not associated with any Google Cloud certification, but attendees who successfully pass the Qwiklabs receive a certificate of attendance.
Program
The course includes presentations, demonstrations, and hands-on labs.
Module 1
u003cstrongu003eu003cstrongu003eBig Data and Machine Learning on Google Cloudu003c/strongu003eu003c/strongu003e
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u003cliu003eIdentify the different aspects of Google Cloud’s infrastructureu003c/liu003eu003cliu003eIdentify the big data and machine learning products on Google Cloudu003c/liu003e
Module 2
u003cstrongu003eu003cstrongu003eData Engineering for Streaming Datau003c/strongu003eu003c/strongu003e
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u003cliu003eDescribe an end-to-end streaming data workflow from ingestion to data visualizationu003c/liu003eu003cliu003eIdentify modern data pipeline challenges and how to solve them at scale with Dataflowu003c/liu003eu003cliu003eBuild collaborative real-time dashboards with data visualization toolsu003c/liu003e
Module 3
u003cstrongu003eu003cstrongu003eBig Data with BigQueryu003c/strongu003eu003c/strongu003e
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u003cliu003eDescribe the essentials of BigQuery as a data warehouseu003c/liu003eu003cliu003eExplain how BigQuery processes queries and stores datau003c/liu003eu003cliu003eDefine BigQuery ML project phasesu003c/liu003eu003cliu003eBuild a custom machine learning model with BigQuery MLu003c/liu003e
Module 4
u003cstrongu003eu003cstrongu003eMachine Learning Options on Google Cloudu003c/strongu003eu003c/strongu003e
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u003cliu003eIdentify different options to build ML models on Google Cloudu003c/liu003eu003cliu003eDefine Vertex AI and its major features and benefitsu003c/liu003eu003cliu003eDescribe AI solutions in both horizontal and vertical marketsu003c/liu003e
Module 5
u003cstrongu003eu003cstrongu003eThe Machine Learning Workflow with Vertex AIu003c/strongu003eu003c/strongu003e
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u003cliu003eDescribe a ML workflow and the key stepsu003c/liu003eu003cliu003eIdentify the tools and products to support each stageu003c/liu003eu003cliu003eBuild an end-to-end ML workflow using AutoMLu003c/liu003e
Module 6
u003cstrongu003eSummaryu003c/strongu003e
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u003cliu003eRecap of key learning pointsu003c/liu003eu003cliu003eResourcesu003c/liu003e
Reserve your spot
Reserve your spot and join this u003cstrongu003eu003cstrongu003eFree Introduction to Data Analytics on Google Cloudu003c/strongu003eu003c/strongu003e via Google Meet.
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