π Software Backend Engineering
A comprehensive, hands-on course designed to help you become a job-ready backend engineer by mastering core technologies, system design fundamentals, and real-world development practices.
This program focuses on building scalable backend systems using industry-standard tools like Java, Spring Boot, AWS, and Docker, while also introducing modern workflows like AI-assisted development.
π¦ Whatβs Included
β 1. Java & Core Backend Fundamentals
Focus Areas:
- Strong programming foundation
- Object-oriented design
Topics Covered:
- Java fundamentals (collections, streams, exception handling)
- Object-Oriented Programming (OOP)
- Multithreading & concurrency basics
- Writing clean and maintainable code
π Goal: Build a strong base for backend development
π± 2. Spring Boot & Backend Development
Focus Areas:
- Building real-world backend services
Topics Covered:
- Spring Boot architecture
- REST API development
- Dependency Injection & Spring Core
- Building CRUD applications
- Exception handling & validation
- Layered architecture (Controller, Service, Repository)
π Goal: Develop production-ready backend APIs
βοΈ 3. Cloud & Deployment (AWS + Docker)
Focus Areas:
- Deploying and managing backend services
Topics Covered:
- AWS fundamentals (EC2, S3 basics)
- Application deployment strategies
- Docker basics (containers, images)
- Containerizing Spring Boot applications
- Environment configuration
π Goal: Learn how real systems are deployed and scaled
ποΈ 4. Databases (SQL + NoSQL)
Focus Areas:
- Data modeling & persistence
Topics Covered:
- MySQL:
- Schema design
- Indexing & query optimization
- DynamoDB:
- NoSQL concepts
- Partition keys & access patterns
- ORM tools (JPA/Hibernate basics)
π Goal: Choose and use the right database for different use cases
π€ 5. AI-Assisted Development
Focus Areas:
- Boosting developer productivity
Topics Covered:
- Using AI tools for code generation
- Debugging with AI assistance
- Writing better prompts for development
- Accelerating development workflows
π Goal: Work smarter and faster using modern AI tools
ποΈ 6. Software Design Fundamentals
Focus Areas:
- Writing scalable and maintainable systems
Topics Covered:
- SOLID principles
- Design patterns (Factory, Strategy, Singleton, etc.)
- Code structuring and modularization
- Basic high level system design thinking
π Goal: Improve code quality and design thinking
π οΈ 7. Real-World Projects
Focus Areas:
- Practical implementation
Sample Projects:
- Backend for an e-commerce system
- API for a booking system
- Scalable service with database + caching
π Goal: Build portfolio-ready projects
π Key Highlights
- β Hands-on coding approach
- β Real-world backend scenarios
- β Industry-relevant tools & tech stack
- β Focus on both development and design
- β AI-powered development practices
π― Who This Is For
- Beginners aiming to become backend engineers
- Developers transitioning into backend roles
- Engineers preparing for backend/system design interviews
ποΈ Format
- Live sessions (batch-based)
- Practical assignments + guided projects
- Interactive Q&A and discussions
π‘ Outcome
- Build and deploy backend applications
- Understand system design fundamentals
- Work with cloud and containerized environments
- Be ready for backend engineering roles
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π Limited Seats Available β Enroll Now