Applied Software Engineering with AI

Covers core Java programming concepts, programming logic, and problem-solving techniques used in software development. This module introduces learners to Java syntax, variables, loops, methods, debugging, and structured programming practices required for building maintainable applications.

Module Lessons:

1. ➠Understanding Java syntax, class structures, and program flow
2. ➠Working with variables, data types, operators, and expressions
3. ➠Using conditional statements and decision-making logic
4. ➠Applying loops for repeated operations and automation
5. ➠Writing reusable methods with parameters and return values
6. ➠Working with arrays, strings, and input/output operations
7. ➠Understanding compilation, runtime, and logical errors
8. ➠Using IDE tools to debug and organize programs
9. ➠Completing beginner-level Java exercises and problem-solving tasks

Tools and Technologies Covered:

Java • Variables • Methods • Arrays • IDE Debugging Tools • Programming Logic

Covers object-oriented programming concepts and software design principles using Java. This module focuses on creating reusable applications using classes, objects, inheritance, abstraction, and professional code structures.

Module Lessons:

1. ➠Understanding classes, objects, methods, and constructors
2. ➠Applying encapsulation and access modifiers
3. ➠Understanding inheritance and class relationships
4. ➠Applying polymorphism and method overloading
5. ➠Understanding abstraction and interfaces
6. ➠Creating structured packages and project organization
7. ➠Understanding object relationships and reusable design
8. ➠Building mini projects using OOP principles

Tools and Technologies Covered:

Java OOP • Classes • Interfaces • Package Management • Design Principles • Object Modeling

Covers advanced Java programming concepts including collections, exception handling, file processing, and reusable code practices. This module develops the skills needed to build scalable and maintainable applications.

Module Lessons:

1. ➠Understanding Java Collections Framework concepts
2. ➠Working with List, Set, Map, and related structures
3. ➠Sorting and filtering collections of data
4. ➠Handling exceptions and error scenarios
5. ➠Reading and writing files for application workflows
6. ➠Using lambda expressions and Streams API
7. ➠Understanding multithreading basics and utility classes

Tools and Technologies Covered:

Collections Framework • Streams API • Exception Handling • File Handling • Multithreading • Java Utilities

Covers software quality practices, debugging techniques, and testing methodologies used in professional software engineering. This module focuses on writing maintainable code, improving code quality, and validating application behavior through testing.

Module Lessons:

1. ➠Understanding clean code principles and readability
2. ➠Writing meaningful class names and method names
3. ➠Breaking large methods into reusable components
4. ➠Identifying duplicate code and poor design patterns
5. ➠Refactoring code without changing functionality
6. ➠Using breakpoints, logs, and debugging workflows
7. ➠Writing unit tests using testing practices
8. ➠Validating AI-generated test suggestions carefully

Tools and Technologies Covered:

JUnit • Mockito • Debuggers • Logging Tools • Refactoring Practices • Testing Frameworks

Covers relational database concepts, SQL programming, and database design practices used in backend systems. This module focuses on storing, retrieving, and managing application data using structured database approaches.

Module Lessons:

1. ➠Understanding relational database concepts and structures
2. ➠Designing tables based on business requirements
3. ➠Understanding keys, constraints, and relationships
4. ➠Writing CRUD queries and filtering operations
5. ➠Using joins and aggregate functions
6. ➠Understanding transactions and rollback concepts
7. ➠Learning indexing and performance basics
8. ➠Validating backend data using SQL queries

Tools and Technologies Covered:

SQL • MySQL • PostgreSQL • Database Clients • ER Diagrams • Query Design

Covers version control concepts and collaborative workflows used in modern software development. This module introduces repository management, branching strategies, collaboration practices, and project organization techniques used by software teams.

Module Lessons:

1. ➠Understanding version control and collaboration workflows
2. ➠Creating repositories and connecting with GitHub
3. ➠Using commits, branches, merge, pull, and push operations
4. ➠Writing meaningful commit messages
5. ➠Managing pull requests and code reviews
6. ➠Handling merge conflicts and collaboration issues
7. ➠Building project portfolios using GitHub repositories

Tools and Technologies Covered:

Git • GitHub • Version Control • Pull Requests • Branching • Repository Management

Covers enterprise backend development fundamentals using Spring technologies. This module introduces dependency injection, application structure, REST services, and backend development practices using Spring Boot.

Module Lessons:

1. ➠Understanding Spring Framework concepts
2. ➠Learning Dependency Injection and IoC principles
3. ➠Creating Spring Boot projects using Spring Initializr
4. ➠Understanding layered architecture and project structure
5. ➠Handling HTTP requests and responses
6. ➠Creating REST endpoints and backend services
7. ➠Building backend applications using Spring Boot

Tools and Technologies Covered:

Spring Framework • Spring Boot • Maven • Spring MVC • REST Services • Dependency Injection

Covers ORM concepts, database integration, and persistence management using Spring Boot technologies. This module teaches learners how to build database-driven backend applications using structured architecture.

Module Lessons:

1. ➠Understanding ORM concepts and persistence layers
2. ➠Creating entity classes and mappings
3. ➠Using JPA annotations and repository layers
4. ➠Performing CRUD operations using repositories
5. ➠Managing entity relationships and DTOs
6. ➠Handling validations and constraints
7. ➠Building database-driven application features

Tools and Technologies Covered:

Spring Data JPA • Hibernate • MySQL • PostgreSQL • Entity Mapping • Repository Layer

Covers backend architecture principles and application structuring techniques used for scalable systems. This module focuses on layered architecture, business logic management, and maintainable backend design.

Module Lessons:

1. ➠Understanding layered backend architecture
2. ➠Separating controller, service, repository, and model layers
3. ➠Writing business logic in service classes
4. ➠Understanding request flow and application design
5. ➠Applying validation and exception handling
6. ➠Structuring maintainable backend applications

Tools and Technologies Covered:

Layered Architecture • DTO Design • Service Layer • Backend Structure • Exception Handling • Configuration Management

Covers authentication, authorization, and backend security practices used in modern applications. This module focuses on protecting APIs, securing backend systems, and implementing security controls using Spring technologies.

Module Lessons:

1. ➠Understanding backend security concepts and risks
2. ➠Learning authentication and authorization concepts
3. ➠Configuring Spring Security workflows
4. ➠Understanding JWT token structure and validation
5. ➠Protecting APIs using roles and permissions
6. ➠Testing secured endpoints and access control

Tools and Technologies Covered:

Spring Security • JWT • Authentication • Authorization • Secure APIs • Access Control

Covers REST principles and API development practices used in backend systems. This module focuses on designing maintainable APIs, validation processes, documentation, and backend communication standards.

Module Lessons:

1. ➠Understanding REST principles and API structures
2. ➠Working with HTTP methods and status codes
3. ➠Managing requests, responses, and headers
4. ➠Applying validation and error handling
5. ➠Testing APIs and creating documentation
6. ➠Building complete backend API workflows

Tools and Technologies Covered:

REST APIs • HTTP Methods • Postman • Swagger/OpenAPI • DTOs • API Documentation

Covers distributed system concepts and service communication models used in scalable applications. This module introduces microservices architecture, communication strategies, and deployment considerations.

Module Lessons:

1. ➠Understanding monolithic and microservices architecture
2. ➠Learning service boundaries and ownership
3. ➠Understanding service-to-service communication
4. ➠Learning API gateway and routing concepts
5. ➠Understanding distributed logging and monitoring
6. ➠Designing simple microservices scenarios

Tools and Technologies Covered:

Microservices • API Gateway Concepts • Service Communication • Monitoring • Logging • Distributed Systems

Covers deployment technologies, cloud fundamentals, and DevOps concepts required for software delivery workflows. This module introduces containerization and deployment readiness practices.

Module Lessons:

1. ➠Understanding containerization concepts
2. ➠Creating Dockerfiles and images
3. ➠Running containers locally
4. ➠Learning cloud fundamentals and AWS awareness
5. ➠Understanding CI/CD concepts
6. ➠Troubleshooting deployment workflows

Tools and Technologies Covered:

Docker • AWS • CI/CD • GitHub Actions • Jenkins • Containerization

Covers responsible use of AI technologies in software engineering workflows. This module focuses on using AI tools to improve productivity while maintaining code quality and technical accuracy.

Module Lessons:

1. ➠Understanding AI-assisted development workflows
2. ➠Using AI for debugging and explanation
3. ➠Generating documentation and code suggestions
4. ➠Reviewing AI-generated outputs carefully
5. ➠Maintaining professional responsibility with AI tools

Tools and Technologies Covered:

GitHub Copilot • Generative AI Tools • AI Debugging • Documentation Tools • Code Review • Productivity Tools

Covers software documentation practices, project presentation techniques, and career preparation activities required for professional software engineering roles. This module focuses on communication, portfolio development, and technical presentation skills.

Module Lessons:

1. ➠Writing professional README documentation
2. ➠Creating installation and setup instructions
3. ➠Preparing API summaries and documentation
4. ➠Explaining architecture, database design, and APIs
5. ➠Creating diagrams and project presentations
6. ➠Preparing portfolios and GitHub repositories
7. ➠Practicing interview questions and technical communication

Tools and Technologies Covered:

README Documentation • GitHub Portfolio • UML Diagrams • API Documentation • Technical Communication • Presentation Skills

Covers guided backend project development activities before the final capstone phase. This module integrates backend technologies, APIs, databases, testing, and project workflows into complete application development practices.

Module Lessons:

1. ➠Planning end-to-end backend applications
2. ➠Translating business requirements into features
3. ➠Creating Spring Boot project structures
4. ➠Designing database tables and relationships
5. ➠Developing CRUD features and backend services
6. ➠Testing APIs and validating application behavior
7. ➠Reviewing projects and identifying improvement areas

Tools and Technologies Covered:

Spring Boot • SQL Databases • JPA • GitHub • Postman • Backend Development

Covers complete backend application development through an end-to-end capstone project. This module integrates software engineering, backend technologies, security, deployment practices, and AI-assisted development into a professional project experience.

Module Lessons:

1. ➠Planning complete backend applications
2. ➠Defining scope, roles, and system features
3. ➠Building backend services and APIs
4. ➠Applying authentication and security practices
5. ➠Preparing deployment-ready applications
6. ➠Creating project documentation and presentations
7. ➠Explaining technical decisions professionally

Tools and Technologies Covered:

Java • Spring Boot • SQL Databases • REST APIs • Docker • AI Development Tools