AWS Glue Courses and Certifications

Build a Secure Data Lake in AWS using AWS Lake Formation

426 ratings at Udemy

Step by step guide for setting up a data lake in AWS using Lake formation, Glue, DataBrew, Athena, Redshift, Macie etc.

• Udemy
• 3 hours 18 minutes
• On-Demand
• Paid Course

Building Data Lakes on AWS

308 ratings at Coursera

Learn to design and operate secure, scalable data lakes on AWS. Explore ingestion, organization, processing, and optimization techniques for efficient data management and analysis at scale.

• Coursera
• 11 hours 7 minutes
• On-Demand
• Paid Course

Master AWS Lambda Functions for Data Engineers using Python

268 ratings at Udemy

Build Lambda Functions using Python, Lambda Triggers, Deploy using layers and Docker, Validate using Glue and Athena

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

AWS Certified Machine Learning Specialty 2025 - Mastery

212 ratings at Udemy

Upgrade with AWS Certified Machine Learning Specialty and Master Machine Learning on AWS to clear Examination

• Udemy
• 1 day 10 hours 57 minutes
• On-Demand
• Paid Course

Ultimate AWS Data Engineering Bootcamp: 15 Real-World Labs

176 ratings at Udemy

Master AWS Data Engineering with hands-on Labs: Batch, Event driven and Real time data processing on AWS.

• Udemy
• 7 hours 54 minutes
• On-Demand
• Paid Course

Regular Expressions (Regex) with C# .NET - Easy and Fast!

130 ratings at Udemy

Regex Mastery: Hands-On Pattern Detection, Input Verification, Security Enhancement, and Data Cleanup

• Udemy
• 3 hours 35 minutes
• On-Demand
• Paid Course

Machine Learning and Data Science with AWS- Hands On

81 ratings at Udemy

Learn data science and machine learning services using AWS Athena, Glue, Quicksight, AWS Comprehend and Python Boto3

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

NEW AWS Certified Data Analytics Specialty DAS C01 Course

57 ratings at Udemy

Want to pass the NEW AWS Certified Data Analytics Specialty DAS C01 Course Machine Learning and AI. Take this course

• Udemy
• 9 hours 28 minutes
• On-Demand
• Paid Course

AWS Certified ML Engineer Associate - Theory,Hands-On, Exams

48 ratings at Udemy

Theory | Hands-On Labs | Full Practice Exam with Explanations | Downloadable PDF Slides | Pass the certification exam

• Udemy
• 2 days 6 hours 33 minutes
• On-Demand
• Paid Course

Data Engineering on AWS Vol 1 - OLAP & Data Warehouse

48 ratings at Udemy

Detailed training (Level 350) on AWS Data Engineering Services Redshift, S3, Athena, Hive, Glue Catalog, Lakeformation

• Udemy
• 1 day 22 hours 27 minutes
• On-Demand
• Paid Course

Big Data Analysis on AWS and Microsoft Azure

25 ratings at Udemy

Explore big data analysis tools on AWS and Azure, including AWS Glue, Athena, Azure HDInsight, and Stream Analytics. Learn to create crawlers, run SQL queries, and perform streaming analysis.

• Udemy
• 1 hour 45 minutes
• On-Demand
• Paid Course

Introduction to Designing Data Lakes on AWS

10 ratings at edX

In this class, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science!

• edX
• 5 weeks, 1-4 hours a week
• On-Demand
• Free Online Course (Audit)

Whizlabs Microcredential

Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

10 ratings at Coursera

Master AWS machine learning engineering with hands-on training in SageMaker, MLOps, feature engineering, model deployment, and managed AI services for MLA-C01 certification.

• Coursera
• 16 weeks, 2 hours a week
• On-Demand
• Paid Course
• 5 courses

Whizlabs

Exploratory Data Analysis in AWS

Analyze data streams and analytics services in AWS, implement Kinesis, explore AWS Glue, and create ETL jobs for effective data analysis and visualization in machine learning projects.

• Coursera
• 6 hours 18 minutes
• On-Demand
• Paid Course

Whizlabs

AWS: Data Analytics

Learn to integrate, analyze, and process big data using AWS services like Glue, Athena, EMR, Kinesis, and SageMaker for advanced analytics and machine learning applications.

• Coursera
• 6 hours 22 minutes
• On-Demand
• Paid Course