From Zero to Hero: Practical JUnit and Mockito Testing with Spring Boot and JPA
hands-on journey from the basics to advanced techniques in JUnit and Mockito
Development ,Software Testing,
Lectures -22
Duration -1.5 hours
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Course Description
Are you ready to master the art of testing in Java? This course takes you on a hands-on journey from the basics to advanced techniques in JUnit and Mockito, tailored for Spring Boot applications using JPA. Designed for beginners and professionals alike, this course equips you with the knowledge and skills to write reliable and maintainable test cases for real-world applications.
In the course, you'll begin with unit testing and mocking fundamentals and progress your way through to developing experience with TDD practice. You will learn with practical examples, live coding, and industry-standard best practices to set up a strong testing environment for Spring Boot applications, write unit tests using JUnit to validate application logic, use Mockito to mock dependency and isolate components during testing, test database interactions with JPA, and data consistency.
End-to-end functionality verification: Implement integration tests.
Debug test failures and improves code quality with confidence.
By the end of this course, you'll be well-equipped to develop and test robust, production-grade Spring Boot applications efficiently. You could be a developer, tester, or aspiring software engineer. This course is your guide to hands-on testing in the Java ecosystem.
Goals
- Course Overview and Introduction
- Essential SQL SELECT Query Examples
- Understanding DML UPDATE Queries with Examples
- Mastering DML DELETE Queries with Examples
- SQL Joins: A Comprehensive Guide with Examples
- Types of SQL Joins Explained
- Introduction to JDBC in Java: What and Why?
- JDBC: Connecting to a Database and Executing Queries
- Creating a New Java Project and Adding JARs in IntelliJ IDEA
- Configuring Database Connections in Java with a Configuration Class
- Adding New Users to the Database: A Hands-On Example
- Testing User Addition in the Database
- Fetching All Users from the Database and Testing
- Updating User Data in the Database: A Practical Example
- Deleting a User Based on Username and Testing
- Real-World Explanation of Table Relationships in Databases
- Different Types of SQL Commands You Should Know
- Common Data Types in SQL
- How to Download and Install a Database Server
- Creating a Category Table: A Step-by-Step Guide
- Understanding SQL Commands: CREATE, ALTER, DROP, and TRUNCATE
- Inserting Data into a SQL Table Using DML Commands
Prerequisites
None

Curriculum
Check out the detailed breakdown of what’s inside the course
Course Videos
22 Lectures
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Course Overview and Introduction 08:41 08:41
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Essential SQL SELECT Query Examples 03:12 03:12
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Understanding DML UPDATE Queries with Examples 03:23 03:23
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Mastering DML DELETE Queries with Examples 02:45 02:45
-
SQL Joins: A Comprehensive Guide with Examples 02:44 02:44
-
Types of SQL Joins Explained 03:28 03:28
-
Introduction to JDBC in Java: What and Why? 01:20 01:20
-
JDBC: Connecting to a Database and Executing Queries 02:29 02:29
-
Creating a New Java Project and Adding JARs in IntelliJ IDEA 01:23 01:23
-
Configuring Database Connections in Java with a Configuration Class 02:54 02:54
-
Adding New Users to the Database: A Hands-On Example 02:23 02:23
-
Testing User Addition in the Database 01:02 01:02
-
Fetching All Users from the Database and Testing 02:49 02:49
-
Updating User Data in the Database: A Practical Example 04:03 04:03
-
Deleting a User Based on Username and Testing 04:43 04:43
-
Real-World Explanation of Table Relationships in Databases 04:14 04:14
-
Different Types of SQL Commands You Should Know 12:24 12:24
-
Common Data Types in SQL 06:14 06:14
-
How to Download and Install a Database Server 04:04 04:04
-
Creating a Category Table: A Step-by-Step Guide 07:22 07:22
-
Understanding SQL Commands: CREATE, ALTER, DROP, and TRUNCATE 01:31 01:31
-
Inserting Data into a SQL Table Using DML Commands 09:53 09:53
Instructor Details

AKHIL VYDYULA
Data Scientist | Data & Analytics Specialist | EntrepreneurHello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.
My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.
I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.
Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.
Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.
I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!
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