This four-day instructor-led course offers a comprehensive hands-on introduction to designing and building data processing systems on the Google Cloud Platform (GCP). Participants will engage in a combination of presentations, demos, and labs to learn how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning solutions. The course covers handling structured, unstructured, and streaming data effectively.

Key Features:

• Session by Certified Instructor
• Advanced Hands-on Labs
• Official Training Content
• Industry-Recognized Certification
• Interactive Sessions

Course Modules

Module 1: Preparing for the Google Cloud Professional Data Engineer

Topics

• Designing Data Processing Systems

• Building and Operationalizing Data Processing Systems

• Operationalizing Machine Learning Models

• Security, Policy, and Reliability

Module 2: Google Cloud Big Data and Machine Learning Fundamentals

Topics

• Introduction

• Big Data and Machine Learning on Google Cloud

• Data Engineering for Streaming Data

• Big Data with BigQuery

• Machine Learning Options on Google Cloud

• The Machine Learning Workflow with Vertex AI

Hands-On Labs

• Vertex AI: Qwik Start

• Exploring a BigQuery Public Dataset

• Vertex AI: Predicting Loan Risk with AutoML

Module 3: Modernizing Data Lakes and Data Warehouses with Google Cloud

Topics

• Introduction

• Introduction to Data Engineering

• Building a Data Lake

• Building a Data Warehouse

Hands-On Labs

• BigQuery: Qwik Start – Command Line

• Creating a Data Warehouse Through Joins and Unions

• Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

Module 4: Building Batch Data Pipelines on Google Cloud

Topics

• 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

Hands-On Labs

• Dataflow: Qwik Start – Templates

• Dataflow: Qwik Start – Python

• Dataproc: Qwik Start – Console

• Cloud Composer: Copying BigQuery Tables Across Different Locations

Module 5: Building Resilient Streaming Analytics Systems on Google Cloud

Topics

• 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

Hands-On Labs

• Building an IoT Analytics Pipeline on Google Cloud

• ETL Processing on Google Cloud Using Dataflow and BigQuery

• Creating Date-Partitioned Tables in BigQuery

• Troubleshooting and Solving Data Join Pitfalls

• Working with JSON, Arrays, and Structs in BigQuery

Module 6: Smart Analytics, Machine Learning, and AI on Google Cloud

Topics

• Introduction to Analytics and AI

• Prebuilt ML Model APIs for Unstructured Data

• Big Data Analytics with Notebooks

• Production ML Pipelines with Kubeflow

• Custom Model Building with SQL in BigQuery ML

• Custom Model Building with AutoML

Hands-On Labs

• Dataprep: Qwik Start

• Creating a Data Transformation Pipeline with Cloud Dataprep

• Predict Visitor Purchases with a Classification Model in BQML

• Cloud Natural Language API: Qwik Start

• Google Cloud Speech API: Qwik Start

• Video Intelligence: Qwik Start

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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