Spring Boot Mastery
Master Spring Boot and build robust, scalable, and production-ready applications.
Development ,Software Development Tools,Docker
Lectures -24
Duration -2 hours
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Course Description
Spring Boot: The Ultimate Guide for Rapid Application Development
For all Java developers looking to build large scalable and production-ready applications without any hassle, Spring Boot is a robust-as-well-as-popular framework. With "Spring Boot Mastery", you will learn all the nitty-gritty of the framework, advanced techniques for mastering everything, and doing real projects to prepare you for professional opportunities.
This course will suit both beginners and those experienced developers actually wanting to improve their skills. Here is a complete and structured study experience that fits the modern ways of learning.
Why should I learn Spring Boot?
Spring Boot will help a developer to focus on application logic instead of infrastructure. Very easy to use, scalable, and much community support made it the first choice of Java professionals. Learning Spring Boot will fasten your growth in your career and give you empowerment to develop efficient, maintainable, and scalable applications.
Course Highlights:
- Beginner-friendly and highly practical coursework learning approach.
- Real-life projects that can be undertaken; in fact, your knowledge would be applied adversely.
- Guidance in setting up and deploying Spring Boot applications on cloud platforms Tips, tricks, and techniques including a lifetime access resource on troubleshooting any problem.
- By the time one is through the training on "Spring Boot Mastery", one will have the skills and confidence required to build applications and APIs suitable for production use; therefore turning a developer into a hot cake in the tech world.
Goals
What You'll Learn:
Core Spring Boot Concepts:
- Understand the basics of Spring Boot and its advantages over traditional Java frameworks.
- Learn how Spring Boot simplifies application development with embedded servers and auto-configuration.
Building Web Applications:
- Create robust web applications using Spring Boot MVC.
- Handle user input with ModelAndView, RequestParam and PathVariable.
RESTful APIs:
- Develop powerful RESTful APIs using Spring Boot annotations like @GetMapping, @PostMapping and @RequestMapping.
- Implement dynamic routes and parameter handling.
Database Integration:
- Set up database connections and perform CRUD operations using Spring Boot and JPA.
- Fetch data by ID, name and custom queries with @Query.
Advanced Features:
- Explore custom query annotations, sorting mechanisms and exception handling.
- Learn Spring Security to secure your applications with authentication and authorization.
Prerequisites
Course Prerequisites
- Basic knowledge of Java programming and object-oriented concepts.
- Familiarity with IDEs such as IntelliJ IDEA or Eclipse.
- An eagerness to learn and build modern applications.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Spring Boot
1 Lectures
-
Getting Started with Spring Boot: Hello World Program 02:49 02:49
Core Concepts of Spring Framework
2 Lectures

Building a Spring Boot MVC Application
5 Lectures

Mastering RESTful APIs in Spring Boot
5 Lectures

Database Operations in Spring Boot
5 Lectures

Advanced Features and Customizations
6 Lectures

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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