Cloud Data Engineering

This course is part of Building Cloud Computing Solutions at Scale Specialization

Instructor: Noah Gift

Skills you'll gain

  •   Data Governance
  •   Extract, Transform, Load
  •   Continuous Integration
  •   Cloud Technologies
  •   Python Programming
  •   Serverless Computing
  •   Rust (Programming Language)
  •   Google Cloud Platform
  •   Cloud Computing
  •   Amazon Web Services
  •   Command-Line Interface
  •   Cloud Storage
  •   Distributed Computing
  •   Big Data
  •   Cloud-Native Computing
  •   Software Engineering
  •   Data Pipelines
  •   Unix Commands
  •   Data Processing

    • There are 4 modules in this course

    This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a serverless data engineering pipeline in a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).

    Examining Principles of Data Engineering

    Building Data Engineering Pipelines

    Applying Key Data Engineering Tasks

    Explore more from Cloud Computing

    Introduction to Data Engineering on Google Cloud

    Cloud Computing Foundations

    Cloud Virtualization, Containers and APIs

    Data Engineering in AWS

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