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Java With Backend

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Java With Backend

Java with Backend

Duration
45 Hours

Course Description


          Back-end development means working on server-side software, which focuses on everything you can't see on a website. Back-end developers ensure the website performs correctly, focusing on databases, back-end logic, application programming interface (APIs), architecture, and servers.

Course Outline For Java with backend

1. Java Fundamentals

  • Core Java Concepts: Variables, data types, operators, control structures, object-oriented programming (OOP) principles (classes, objects, inheritance, polymorphism, abstraction, encapsulation), exception handling, and multithreading.
  • Data Structures and Algorithms: Understanding and implementing various data structures (arrays, lists, maps, sets, queues) and algorithms for efficient problem solving.
  • Java APIs: Working with essential Java APIs like Java I/O, Collections Framework, and Java 8 features (lambda expressions, streams, functional interfaces, date and time API).
  • Build Tools: Using Maven for managing project dependencies and builds. 

2. Database management and data persistence

  • Database Concepts: Introduction to relational databases (RDBMS) like MySQL and NoSQL databases like MongoDB.
  • SQL: Writing SQL queries for database interaction (DDL, DML, DQL), including joins, stored procedures, and transactions.
  • JDBC (Java Database Connectivity): Connecting Java applications to databases, performing CRUD operations, and understanding JDBC drivers and architectures.
  • ORM (Object-Relational Mapping): Using frameworks like Hibernate and JPA (Java Persistence API) to simplify database interactions, map Java objects to database tables, and reduce the need for explicit SQL queries.
  • Spring Data JPA: Leveraging Spring Data JPA for easy repository creation and data access layer implementation. 

3. Web application development

  • Servlets and JSP (JavaServer Pages): Understanding server-side programming with Servlets and creating dynamic web content with JSP, along with their lifecycles, communication, and session management.

Web Frameworks:

  • Spring Framework: Core concepts like Dependency Injection (DI) and Inversion of Control (IoC), Aspect-Oriented Programming (AOP), Spring MVC for building web applications and RESTful services, Spring Security for authentication and authorization, and integration with databases and other modules.
  • Spring Boot: Rapid application development with Spring Boot's auto-configuration and embedded servers, simplifying project setup and deployment.
  • RESTful APIs: Designing, implementing, and consuming RESTful web services in Java, using Spring Boot or other frameworks.
  • Microservices Architecture: Understanding the principles of microservices, building and deploying microservices with Spring Boot and Spring Cloud, inter-service communication, service discovery, API gateways, and fault tolerance. 

4. Security

  • Security Principles: Understanding common security threats like SQL injection and cross-site scripting (XSS), implementing authentication and authorization mechanisms, and securely handling data, 
  • Spring Security: Using Spring Security for robust authentication and authorization in Spring applications.
  • Authentication and Authorization Protocols: Implementing and using protocols like OAuth 2.0, Open ID Connect, and JWT (JSON Web Tokens). 

5. Deployment and testing

  • Testing Frameworks: Using JUnit for unit testing, and potentially other frameworks for integration and end-to-end testing.
  • Continuous Integration/Continuous Deployment (CI/CD): Understanding the principles of CI/CD and potentially working with tools like Jenkins or GitLab CI/CD for automated builds and deployments.
  • Deployment Strategies: Deploying Java backend applications to cloud platforms (like Google Cloud App Engine) or using containerization technologies (like Docker) and orchestration tools (like Kubernetes). 

6. Advanced topics (optional)

  • Reactive Programming: Understanding and implementing reactive programming paradigms with Java and Spring.
  • Caching: Implementing caching mechanisms to improve application performance.
  • Message Brokers: Integrating message brokers like Apache Kafka for asynchronous communication between microservices.
  • Cloud Integration: Integrating with various cloud services and understanding cloud-native development practices. 
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