Data Engineering on Google Cloud

Enhance your skills in extracting business insights from large datasets using BigQuery by enrolling in the Data Engineering on Google Cloud course. This 4-day program is tailored for individuals with a basic understanding of Google Cloud’s Big Data and ML capabilities, data modeling, and ETL processes. Familiarity with programming languages will further enrich your learning experience. Join us to design and build secure and effective data processing systems.

Course Details

Price:

$2,475.00

Days:

Location:

Virtual

Course Overview

– • Design and build data processing systems on Google Cloud
– • Process batch and streaming data by implementing autoscaling data pipelines on Dataflow
– • Derive business insights from extremely large datasets using BigQuery
– • Leverage unstructured data using Spark and ML APIs on Dataproc
– • Enable instant insights from streaming data
– • Understand ML APIs and BigQuery ML, and learn to use AutoML to create powerful models without coding

• Completed Google Cloud Fundamentals – Big Data and Machine Learning course OR have equivalent experience
• Basic proficiency with common query language such as SQL
• Developing applications using a common programming language such as Python
• Familiarity with Machine Learning and/or statistics
• Experience with data modeling, extract, transform, load activities

• Running Dataproc Jobs
• Google Cloud Dataproc Overview
• Integrating Dataproc with Google Cloud Platform
• Making Sense of Unstructured Data with Google’s Machine Learning APIs
• Serverless data analysis with BigQuery
• Serverless, autoscaling data pipelines with Dataflow
• Getting started with Machine Learning
• Building ML models with Tensorflow
• Scaling ML models with CloudML
• Feature Engineering
• Architecture of streaming analytics pipelines
• Ingesting Variable Volumes
• Streaming analytics and dashboards
• Implementing streaming pipelines
• High throughput and low-latency with Bigtable
• Introduction to Data Engineering
• Building a Data Lake
• Building a Data Warehouse
• Introduction to Building Batch Data Pipelines
• Executing Spark on Dataproc
• Serverless Data Processing with Dataflow
• Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
• Introduction to Processing Streaming Data
• Serverless Messaging with Pub/Sub
• Dataflow Streaming Features
• High-Throughput BigQuery and Bigtable Streaming Features
• Advanced BigQuery Functionality and Performance
• Introduction to Analytics and AI
• Prebuilt ML Model APIs for Unstructured Data
• Big Data Analytics with Notebooks
• Production ML Pipelines
• Custom Model Building with SQL in BigQuery ML
• Custom Model Building with AutoML

Class Dates & Times


7/15/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $2,475.00
9/16/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $2,475.00
11/18/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $2,475.00

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