Roadmap you need to know:

1. Object Oriented Programming in Java

2. Advanced Java and Java 8 Programming

3. JUnit and Enterprise Architecture

4. Java Persistence

5. Web Development - Servlet and JSP

6. Spring Core

7. Spring ORM

8. Spring MVC

9. Java with GenAI

Unit 1: OOPs in Java

1. Java Introduction: Java Architecture and Features, Java Keywords, Datatypes and Operators, Control Structures

2. Class and Objects: Class and Object​, Getters and Setters​, Access Modifiers​, Garbage Collector and Methods

3. Arrays and Strings: Array​, String, String Buffer and StringBuilder in Java

4. Class Relationship: Class Association, Inheritance and Method Overriding​, Abstract Keyword

5. Binding and Interface: Static and Dynamic Binding​, Static and Final keyword​, Interface and Design Patterns

Unit 2: Advanced Java and Java8

→Advanced Java

1. Exception Handling : Exception Types and Exception Hierarchy, Catch and Handle exceptions, Design Custom Exceptions

2. Collection API: Part 1: Collections and use of collections, advantages of using collections and collection hierarchy, List and Set implementations

3. Collection API: Part 2: Map implementation, comparator and comparable interfaces

4. Multithreading: Multithreading/Concurrency, Thread: Creation, Life-cycle, Priorities, Stack Implementation, Methods, Synchronization, Inter-thread Communication

5. Java 8 Features: Interface, Annonymous Inner Classes Lambda Expressions, Stream API, Functional Interfaces, Date and Time API

→ Software Development Practices

1. SCM using Git: Intro to Version Control, Intro to Git, Common Git Terms, Working with Git and GitLab

2. Code Quality: Coding standards, Importance of Code Review, Type of code review, Automated Code Review tools, SonarQube usages, SonarLint as eclipse plugin for code analysis

3. Sonar Qube: Code Quality Automation and its benefits​, Types of Code Quality​, Static code analysis, Difference between Static Code Analysis and Dynamic Code Analysis​, Tools available for Code Quality​, State SonarQube features and its benefits

4. Sonar Qube Components: Architecture of SonarQube​, Processes of SonarQube Server​, Database of SonarQube​, SonarQube Plugins​, How to use code analysis using SonarQube Scanners, SonarQube Workflow​, code analysis using SonarLint in Eclipse

5. Working with Sonar Qube: SonarQube dashboard overview​, Manage projects using Project tab, Rules and its fields​, Quality profiles​, Quality gates and its types

6. Maven Introduction: Scope of Build Automation​, Build Tool and its benefits​, Life cycle of build tool and its phases​

7. Maven Structure: Structure of Maven​, pom.xml and its elements​, super POM, minimal POM and effective POM​, archetype and its types​, Understand how to create a maven project based on the archetypes and executes with different goals

8. Maven Repositories and Dependencies: Describe the way to store set of artifacts as Maven repositories, Local Repository, Central Repository, Remote Repository​, Maven Dependency and configuring the dependencies in pom.xml, Dependency hierarchy; transitive dependency; dependency management​, Types of dependency scope​, Process of dependency search sequence

9. Maven PlugIn: Categories and types of plugins​, MOJO and to configure the same in pom file, configuration of plugin in pom file, Surefire plugin and its implementation

10. Input Output: Writing data to character & byte streams, chain of IO streams and serialization

Bravo! You've made it this far! 😉 Step ahead only if you're ready to master the road to greatness — yes, it's challenging, but you've already tackled the tough stuff. From here on, things will smoothen out a little (well, just a little). Let’s go!

Unit 3: JUnit and Enterprise Architecture

1. JUnit 5: Unit Testing Conceps using x-testing framework, JUnit 4 v/s JUnit 5, Architecture, Installation, JUnit5 Annotations

2. Enterprise Architecture & Patterns: Java EE Patterns, Architectural Patterns, Patterns of Enterprise Architecture (EA)

3. HTML, CSS & Javascript: Web based Application Programming, Tools, GUI, HTTP, Web page construction

4. XML & XSLT: XML features and purpose, rules for well-formed XML, Key features of the XML Schema, XML validation and transformation (XML and XSLT)

Unit 4: Java Persistence

1. JDBC: Role of JDBC Driver, JDBC API (Connection to DB), CRUD operations using Statement interface, CRUD operations using Prepared Statement interface

2. Introduction to ORMJPA: JPA and bootstrapping of JPA, CRUD operations on entities using JPA, entity life cycle

3. JPA Entity Relationships: OneToOne, ManyToOne, OneToMany, ManyToMany, multiplicities b/w entities

4. JPQL: Select Operation ,DML Operations, Named Queries, Join Queries, Aggregation Queries

Unit 5: Web Development - Servlet and JSP

1. Web Development - Servlet Programming: Servlet Life Cycle​, Servlet Context and Servlet Config, Request Dispatcher​, Session Management

2. Web Development - JSP: Dynamic web page using JSP, JSP lifecycle​, JSP scripting, and directive elements to create web pages​, implicit objects and action elements to create web pages

3. Web Development - JSTL: Dynamic web pages using:​ JSTL core tags​ and JSTL formatting tags

Unit 6: Spring Core

1. Spring Core: container component model​, IOC using dependency injection and autowiring​, spring core annotations​, loosely coupled application using Spring IOC container witH XML​ and Java

2. Spring Test: JSR-330 Annotations, JSR-250 Annotations, Transactional and Rollback Annotations

Unit 7: Spring ORM

1. Spring ORM: Spring Core with JPA Integration**,** Spring Core with JPA Integration with Transaction Manager, Transaction Propagation, Transactional Attributes, Spring ORM Integration, Spring ORM Transaction Management

2. Spring JPA Data: Spring JPA Integration, Spring JPA Data, Spring JPA Data Repositories, Spring JPA Data Repositories, Spring JPA Data writing Queries

Unit 8: Spring MVC

1. Spring MVC Introduction: MVC - Model2 Architecture, Spring MVC and Front view Controller Configuration, Context Configuration, ContextHierarchy, ViewResolvers

2. Spring Form: Spring MVC application using Spring form and form elements​, Spring Model v/s Request scope, validations, Exception Handlers

3. Spring MVC JPA Introduction: Session Attributes, Spring MVC with Spring JPA Integration, Spring MVC with Spring JPA Data Integration

4. Spring Rest: Services using Spring REST, Spring REST Integration with Spring JPA Data, RestTemplate

5. Spring Security Part 1: Customizing Access Denied Handler View, Customizing Login Page, Authencation Provider, Spring MVC application implementing Spring Security with JDBC authentication provider

6. Spring Security Part 2: Implement security in application using Spring Security Expression Language, applications to detect concurrent sessions, Implement security at Service layer of an application

7. Spring Boot: Spring Boot Application​ microservices, Configuring Jetty container as a default container, Content negotiation

Unit 9: Java with GenAI

1. Introduction to Generative AI: Basics of Generative Al, Use Cases of Generative Al, Large Language Models, Generative Al tools, Prompt engineering, Prompt design Strategies/ Techniques, Issues/ concerns and considerations

2. Generative AI in Java - Java with VertexAI

   Steps to Integrate Java with Vertex AI

   Set Up Google Cloud Environment:

   • Create a Google Cloud project.

   • Enable Vertex AI API.

   • Create a service account with Vertex AI User and Storage Object Viewer roles.

   • Download the service account JSON key.

   • Install and initialize Google Cloud SDK (gcloud init).

3. Set Up Java Development Environment:

   • Ensure Java 8+ is installed.

   • Install Apache Maven (if not already installed).

4. Add Dependencies to pom.xml

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-vertex-ai</artifactId>
  <version>1.0.0</version>
</dependency>
<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-storage</artifactId>
  <version>2.4.0</version>
</dependency>
<dependency>
  <groupId>com.google.auth</groupId>
  <artifactId>google-auth-library-oauth2-http</artifactId>
  <version>0.28.0</version>
</dependency>

Authenticate Using Service Account:

• Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to your service account JSON key.

• On Linux/Mac:

export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"

• On Windows:

set GOOGLE_APPLICATION_CREDENTIALS=C:\path\to\service-account-key.json

• Java Code to Interact with Vertex AI:

GoogleCredentials credentials = GoogleCredentials.fromStream(new FileInputStream("path/to/service-account-key.json"));
try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
    // Prepare the prediction request
    PredictRequest predictRequest = PredictRequest.newBuilder()
        .setModel("your-model-id")
        .setInstances("{ \"instances\": [{ \"input\": \"Hello Vertex AI\" }]}") // Example input
        .build();

    // Get predictions
    PredictResponse response = predictionServiceClient.predict(predictRequest);
    System.out.println(response.getPredictionsList());
}

Run Your Java Application:

• Use Maven or your IDE to run the application:

mvn exec:java -Dexec.mainClass="VertexAIExample"

And that's a wrap! Phew! You've made it through all of it. Now, feel free to circle back to the top whenever you need a quick revision. After all, it's totally normal to not remember everything in one go. Don’t hesitate to hop back to where you’re stuck and pick up right from there!