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Master JPA using Hibernate as the implementation. Learn the basics of JPA: entities, relationships, entity manager, annotations, JPQL and Criteria API. Take a step into the advanced world of JPA such as caching, performance tuning (n + 1 queries), and mapping inheritance hierarchies. Get a peek into the magic of Spring Data JPA and Spring Data REST.

Understand how to use AWS IAM to run AWS resources securely against cloud hacks

Advance your data skills by mastering Spark programming in Python. This beginner's level course will help you understand the core concepts related to Apache Spark 3 and provide you with knowledge of applying those concepts to build data engineering solutions.

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A hands-on course to learn about different tools and scenarios to ingest data into Data Lake. This course includes end-to-end demonstrations to ingest, process, and export data using Databricks and HDInsight, which will help you have a good understanding of Azure Data Lake Services.

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

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This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.

This course covers the complete AWS Application Stacks using Cloud Development Kit. Learn to deploy simple-to-complex resources in AWS using CDK and launch several stacks and templates. This course assumes you know how to use the AWS Cloud. It will help you transform your solution architecting skills into CDK Stack.

Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.