The Course Curriculum

Session 1: Introduction to Java

• Overview of Java:
  • History and evolution
  • Features and advantages
  • JVM, JRE, and JDK
• Setting up the Environment:
  • Installing JDK
  • Setting up an IDE (IntelliJ IDEA, Eclipse)
  • Writing and running your first Java program
• Basic Syntax:
  • Data types, variables, and operators
  • Control flow statements (if-else, switch, loops)
  • Methods and recursion

Session 2: Fundamentals of Design Principles and OOP

• Design Principles:
  • DRY, KISS, YAGNI
  • SOLID principles
• Object-Oriented Programming:
  • Classes and Objects
  • Inheritance, polymorphism, abstraction, and encapsulation
  • Constructors and initialization blocks
  • Static vs. instance members

Session 3: Exception Handling and Garbage Collection

• Exception Handling:
  • Types of exceptions (checked and unchecked)
  • Try-catch-finally block
  • Throw, throws, and custom exceptions
• Garbage Collection:
  • How GC works in Java
  • Types of garbage collectors
  • Best practices for efficient memory management

Session 4: Introduction to J2EE

• Overview of J2EE:
  • Architecture and components
  • Role of J2EE in enterprise applications

Session 5: Annotations, Regex, and Design Patterns

• Annotations:
  • Built-in annotations
  • Creating custom annotations
  • Use cases in modern frameworks
• Regular Expressions:
  • Syntax and patterns
  • Using regex in Java (Pattern and Matcher classes)
• Design Patterns:
  • Introduction to design patterns
  • Creational, Structural, and Behavioral patterns
  • Practical examples in Java

Session 6: JDBC

• Introduction to JDBC:
  • JDBC architecture
  • Setting up a database (MySQL/PostgreSQL)
• CRUD Operations:
  • Connecting to a database
  • Executing queries (Select, Insert, Update, Delete)
  • Handling transactions

Session 7: Java Collections

• Overview of Collections Framework:
  • Core interfaces (List, Set, Map, Queue)
  • Common implementations (ArrayList, HashSet, HashMap)
• Advanced Collections:
  • Comparators and sorting
  • Concurrent collections
  • Best practices for choosing the right collection

Session 8: File I/O

• Basics of File I/O:
  • Streams and Readers/Writers
  • Reading and writing files
• Advanced File I/O:
  • Buffered streams
  • Serialization and deserialization
  • NIO package and file operations

Session 9: Multithreading

• Introduction to Multithreading:
  • Thread lifecycle and states
  • Creating and managing threads
• Concurrency:
  • Synchronization and locks
  • Executors framework
  • Common concurrency issues and solutions

Session 10: Introduction to Spring Boot

• Overview of Spring Framework:
  • Inversion of Control and Dependency Injection
  • Introduction to Spring Boot and its advantages
• Setting up a Spring Boot Project:
  • Using Spring Initializr
  • Project structure and configuration
• Building a Simple REST API:
  • Controllers, Services, and Repositories
  • Running and testing the application

Session 11: Introduction to Microservices

• Microservices Architecture:
  • Benefits and challenges
  • Comparison with monolithic architecture
• Building Microservices with Spring Boot:
  • Creating and managing multiple microservices
  • Communication between microservices (REST, messaging)

Session 12: Spring Cloud Config and Client-Side Load Balancing

• Spring Cloud Config:
  • Centralized configuration management
  • Setting up Spring Cloud Config Server and Client
• Client-Side Load Balancing:
  • Introduction to Ribbon
  • Configuring and using Ribbon in Spring Boot applications

Session 13: Service Discovery, Circuit Breaker, and Rate Limiting

• Service Discovery:
  • Introduction to Eureka
  • Setting up Eureka Server and Client
• Circuit Breaker:
  • Introduction to Hystrix/Resilience4j
  • Implementing circuit breakers in microservices
• Rate Limiting:
  • Importance of rate limiting
  • Implementing rate limiting using Spring Boot

Session 14: Prompt Engineering with ChatGPT

• Introduction to AI and ChatGPT:
  • Basics of natural language processing (NLP)
  • Overview of ChatGPT and its capabilities
• Prompt Engineering:
  • Crafting effective prompts
  • Use cases of ChatGPT in software development
• Integrating ChatGPT with Java Applications:
  • Using OpenAI API
  • Practical examples and best practices