Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP Specialization
Google Cloud

Data Engineering, Big Data, and Machine Learning on GCP Specialization

Data Engineering on Google Cloud. Launch your career in Data Engineering. Deliver business value with big data and machine learning.

Sponsored by Louisiana Workforce Commission

121,065 already enrolled

Get in-depth knowledge of a subject
4.6

(12,454 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(12,454 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Taught in English

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  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Google Cloud
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Specialization - 5 course series

Google Cloud Big Data and Machine Learning Fundamentals

Course 19 hours4.6 (16,150 ratings)

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 and dDesign streaming pipelines with Dataflow and Pub/Sub.

  • Identify different options to build machine learning solutions on Google Cloud.

  • Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.

Skills you'll gain

Category: Google Cloud Platform
Category: Cloud Computing
Category: Data Processing
Category: Machine Learning Software
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Real Time Data
Category: Applied Machine Learning
Category: Data Pipelines
Category: Machine Learning
Category: Dataflow
Category: Data Integration
Category: Cloud Infrastructure
Category: Data Engineering
Category: Big Data
Category: Databases
Category: Analytics
Category: Artificial Intelligence
Category: Looker (Software)
Category: Data Architecture
Category: Extract, Transform, Load

Modernizing Data Lakes and Data Warehouses with Google Cloud

Course 28 hours4.7 (2,826 ratings)

What you'll learn

  • Differentiate between data lakes and data warehouses.

  • Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.

  • Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.

  • Examine why data engineering should be done in a cloud environment.

Skills you'll gain

Category: Big Data
Category: Data Engineering
Category: Data Management
Category: Data Architecture
Category: Google Cloud Platform
Category: Cloud Platforms
Category: Public Cloud
Category: Cloud Services
Category: Data Lakes
Category: Data Infrastructure
Category: Databases
Category: Cloud Storage
Category: Multi-Cloud
Category: Cloud Solutions
Category: Data Processing
Category: Data Storage
Category: Data Storage Technologies
Category: Data Warehousing
Category: Information Management
Category: Cloud Infrastructure

Building Batch Data Pipelines on Google Cloud

Course 317 hours4.5 (1,694 ratings)

What you'll learn

  • Review different methods of data loading: EL, ELT and ETL and when to use what

  • Run Hadoop on Dataproc, leverage Cloud Storage, and optimize Dataproc jobs

  • Build your data processing pipelines using Dataflow

  • Manage data pipelines with Data Fusion and Cloud Composer

Skills you'll gain

Category: Data Pipelines
Category: Data Engineering
Category: Data Processing
Category: Data Integration
Category: Extract, Transform, Load
Category: Dataflow
Category: Big Data
Category: Real Time Data
Category: Public Cloud
Category: Google Cloud Platform
Category: Apache Spark
Category: Data Wrangling
Category: Data Infrastructure
Category: Cloud Storage
Category: Apache Hadoop
Category: Data Architecture
Category: Multi-Cloud
Category: Cloud Infrastructure
Category: Data Mapping
Category: Data Transformation

What you'll learn

  • Interpret use-cases for real-time streaming analytics.

  • Manage data events using the Pub/Sub asynchronous messaging service.

  • Write streaming pipelines and run transformations where necessary.

  • Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis

Skills you'll gain

Category: Public Cloud
Category: Real Time Data
Category: Cloud Services
Category: Data Processing
Category: Data Pipelines
Category: Cloud Computing
Category: Google Cloud Platform
Category: Dataflow
Category: Big Data
Category: Data Architecture
Category: Live Streaming
Category: Data Storage
Category: Cloud Applications
Category: Data Infrastructure
Category: Data Integration
Category: Data Engineering
Category: Extract, Transform, Load
Category: Serverless Computing
Category: Data Storage Technologies
Category: Multi-Cloud

Smart Analytics, Machine Learning, and AI on Google Cloud

Course 56 hours4.6 (1,226 ratings)

What you'll learn

  • Differentiate between ML, AI and deep learning.

  • Discuss the use of ML API’s on unstructured data.

  • Execute BigQuery commands from notebooks.

  • Create ML models by using SQL syntax in BigQuery and without coding using Vertex AI AutoML.

Skills you'll gain

Category: Google Cloud Platform
Category: Cloud Platforms
Category: Cloud Services
Category: Public Cloud
Category: MLOps (Machine Learning Operations)
Category: Machine Learning
Category: Cloud Infrastructure
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Applied Machine Learning
Category: Cloud Applications
Category: Analytics
Category: Cloud Solutions
Category: Cloud Development
Category: Artificial Intelligence
Category: Cloud Management
Category: Multi-Cloud
Category: Cloud-Based Integration
Category: Business Analytics
Category: Data Analysis
Category: Cloud API

Instructor

Google Cloud Training
Google Cloud
1,708 Courses2,842,389 learners

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Google Cloud

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