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 Mojatu Foundation

121,195 already enrolled

Get in-depth knowledge of a subject
4.6

(12,459 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

(12,459 reviews)

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

See how employees at top companies are mastering in-demand skills

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Advance your subject-matter expertise

  • 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 (16,159 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: Dataflow
Category: Real Time Data
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Machine Learning
Category: Data Processing
Category: Machine Learning Software
Category: Applied Machine Learning
Category: Data Pipelines
Category: Data Integration
Category: Cloud Infrastructure
Category: Data Engineering
Category: Databases
Category: Big Data
Category: Analytics
Category: Extract, Transform, Load
Category: Looker (Software)
Category: Data Architecture
Category: Artificial Intelligence

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

Building Batch Data Pipelines on Google Cloud

Course 317 hours4.5 (1,695 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 Integration
Category: Data Processing
Category: Data Engineering
Category: Extract, Transform, Load
Category: Dataflow
Category: Real Time Data
Category: Google Cloud Platform
Category: Big Data
Category: Public Cloud
Category: Apache Spark
Category: Cloud Storage
Category: Data Mapping
Category: Data Wrangling
Category: Multi-Cloud
Category: Cloud Infrastructure
Category: Data Architecture
Category: Apache Hadoop
Category: Data Transformation
Category: Data Infrastructure

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

Smart Analytics, Machine Learning, and AI on Google Cloud

Course 56 hours4.6 (1,228 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: Cloud Platforms
Category: Google Cloud Platform
Category: Cloud Services
Category: Public Cloud
Category: MLOps (Machine Learning Operations)
Category: Machine Learning
Category: Cloud Infrastructure
Category: Applied Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Cloud Development
Category: Cloud Management
Category: Cloud-Based Integration
Category: Data Analysis
Category: Artificial Intelligence
Category: Multi-Cloud
Category: Cloud Applications
Category: Cloud API
Category: Analytics
Category: Cloud Solutions
Category: Business Analytics

Instructor

Google Cloud Training
Google Cloud
1,720 Courses2,896,411 learners

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Google Cloud

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