Build job-ready Java skills employers are looking for, supported by hands-on experience you can talk about in interviews in just one month.

Set up of the Java environment with the Java Development Kit (JDK), Java Runtime Environment (JRE), and Integrated Development Environment (IDE). 

Implement data types, variables, operators, control flow statements, arrays, strings, and more. 

Use robust exception-handling techniques using try-catch blocks, and differentiate among checked and runtime exceptions for application development.

Describe version control and its place in social and collaborative coding and in DevOps.

Explain basic Git concepts such as repositories and branches used for distributed version control and social coding.

Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project.

Build your portfolio by creating and sharing an open-source project on GitHub.

Apply object-oriented programming (OOP) techniques to define and implement classes and objects, demonstrating encapsulation and abstraction.

Use advanced OOP concepts such as inheritance, polymorphism, interfaces, and method overloading.

Employ the Java Collections Framework to manage data using lists, sets, queues, and maps.

Describe the basics of directory and file handling in Java and practical uses of date and time in application development.

Describe the Web Application Development Ecosystem and terminology like front-end developer, back-end, server-side, and full stack.

Identify the developer tools, online editors like JSFiddle, and integrated development environments (IDEs) for building and testing web applications.

Create and structure basic web pages using HTML and style them with CSS.

Develop dynamic and interactive web pages using JavaScript, including DOM manipulation, form validation, and client-side scripting techniques.

Build job-ready skills in cloud native, microservices, containers, DevOps, and Agile employers are looking for in just 6 weeks.

Create RESTful APIs for modern web development and deploy them with Docker containers. 

Implement DevOps and CI/CD practices for streamlined development and deployment. 

Apply Agile and Scrum best practices for iterative, efficient software delivery.

Build job-ready skills in the Spring Framework and master the Spring ecosystem and its advanced architectural components in just 4 weeks.

Build RESTful APIs using Spring Boot for scalable applications

Develop Java applications with robust security measures using Spring Security

Gain hands-on experience through labs on Rest APIs, Web forms, authentication, authorization, and role-based access control.

The job-ready skills you need to develop Java applications with databases in just 4 weeks

Apply the fundamentals of databases in a Java program using Java Database Connectivity and develop database-driven applications using Spring Boot

Handle entity relationships with Object Relational Mapping (ORM) using Hibernate for efficient data management

Explore other modern data storage solutions such as NoSQL, document, time series and graph databases

Gain practical, in-depth experience by designing and developing dynamic web pages with interactive features using JavaScript.

Manage entity relationships with Object Relational Mapping (ORM) using Hibernate for efficient data management for both SQL and NoSQL databases. 

Demonstrate your job-ready skills in cloud native, microservices, containers, DevOps, and Agile.

Describe the role of a software developer, typical career paths, and emerging opportunities in the field

Explain how to prepare for a job search, including researching companies, identifying suitable roles, and developing key

Apply strategies for networking and assessing job listings to effectively target and pursue software development positions

Demonstrate readiness for each stage of the interview process, including technical challenges, behavioral questions, and post-interview follow-up

Demonstrate how to generate code snippets, scripts, and programs using generative AI models

Apply generative AI techniques for application design, architecture, bug detection, code refactoring, and program optimization

Develop innovative solutions using generative AI-powered tools such as ChatGPT, GitHub Copilot, Google Gemini, and IBM watsonx Code Assistant

Explainthe challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them