Data Engineering Courses and Certifications

Designing Data Systems

Learn to architect enterprise data systems by designing staging areas, operational data stores, and data warehouses. Gain hands-on experience with Snowflake, data transformation, and OLAP reporting using real-world datasets.

• Udacity
• 4 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Advanced Data Engineering

Master advanced data engineering techniques for handling large-scale datasets, optimizing workflows, and implementing cutting-edge tools like Celery, Apache Airflow, and specialized databases for efficient data operations.

• Coursera
• 23 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

AWS Certified Data Engineer Associate 2024 - Hands On!

5683 ratings at Udemy

AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more

• Udemy
• 21 hours 29 minutes
• On-Demand
• Paid Course

Data Engineering using AWS Data Analytics

2273 ratings at Udemy

Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift

• Udemy
• 1 day 2 hours 15 minutes
• On-Demand
• Paid Course

Data Engineering for Beginners with Python and SQL

767 ratings at Udemy

From Novice to Data Engineer: Master Python and SQL for Data Processing

• Udemy
• 3 hours 16 minutes
• On-Demand
• Paid Course

Master Data Engineering using GCP Data Analytics

588 ratings at Udemy

Learn GCS for Data Lake, BigQuery for Data Warehouse, GCP Dataproc and Databricks for Big Data Pipelines

• Udemy
• 19 hours 36 minutes
• On-Demand
• Paid Course

Intro to Data Engineering

479 ratings at Udemy

Get an Introduction to the Data Engineering and Explore the Career Opportunities It Offers

• Udemy
• 3 hours 44 minutes
• On-Demand
• Paid Course

Google Cloud Professional Data Engineer Certification Course

323 ratings at Udemy

Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!

• Udemy
• 10 hours 31 minutes
• On-Demand
• Paid Course

Data Engineering for Beginner using Google Cloud & Python

283 ratings at Udemy

Basic data engineering : python, pandas, google cloud platform (GCP) bigquery, spark on dataproc, gcs, data warehouse

• Udemy
• 8 hours 4 minutes
• On-Demand
• Paid Course

Introduction to Data Engineering using Generative AI

240 ratings at Udemy

Hands-On Beginner's Guide to GenAI and LLMs for Transforming, Loading, and Modeling Data with Python and SQL

• Udemy
• 6 hours 8 minutes
• On-Demand
• Paid Course

Data Engineering on AWS - Foundations

20 ratings at Coursera

Learn essential data engineering concepts, AWS services, and tools for building, automating, and securing data solutions. Explore CI/CD, IaC, serverless applications, cost optimization, and authentication on AWS.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Free Online Course (Audit)

Generative AI: Elevate your Data Engineering Career

17 ratings at Coursera

Explore how generative AI revolutionizes data engineering, enhancing productivity in architecture design, querying, schema design, data augmentation, pipelines, and analysis. Gain hands-on skills for real-world applications.

• Coursera
• 12 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Coursera Instructor Network

GenAI for Data Engineers: Scaling with GenAI

Discover key GenAI capabilities and practical strategies to enhance data engineering workflows, boost productivity, and future-proof skillsets in this transformative primer for data professionals.

• Coursera
• 2 hours 5 minutes
• On-Demand
• Paid Course

Microcredential

IBM Data Engineering

Comprehensive program covering Python, SQL, databases, ETL, data warehousing, and big data. Gain hands-on skills for entry-level data engineering roles, including AI integration and career preparation.

• Coursera
• On-Demand
• Paid Course
• 16 courses

Coursera Instructor Network

Data Engineering: Pipelines, ETL, Hadoop

Master data engineering: build robust pipelines, implement ETL processes, and handle large datasets with Hadoop. Gain expertise in extracting, transforming, and loading data for efficient processing and analysis.

• Coursera
• 2 hours
• On-Demand
• Paid Course