Software Engineering & Architecture Mastery
DSA, system design and solution architecture, in one arc.
- Duration
- 10 – 12 months
- Level
- Beginner to advanced
- Modules
- 6
- Projects
- 4
Roles it prepares you for
- Software Engineer
- Backend Engineer
- System Designer
- Solution Architect
What this path covers
The path for engineers who want to be trusted with the design, not just the ticket. It runs from data structures and algorithms through object-oriented and low-level design to distributed systems and the architecture decisions senior roles are hired to make. Every stage ends in a design you present and defend, because that is both how the interview goes and how the job works.
Learning outcomes
- Solve algorithmic problems with a defensible complexity argument
- Produce low-level designs with classes, sequences and concurrency handled
- Take a vague requirement to a capacity-estimated high-level design
- Choose storage, caching and messaging with the trade-offs stated
- Design microservice boundaries and secure the APIs between them
- Write ADRs and diagrams another engineer can act on without you
Projects you will build
A scalable URL shortener with caching, rate limiting and metrics
An event-driven order system with queues and idempotent consumers
A microservice platform with gateway, auth and distributed tracing
A full architecture dossier — ADRs, diagrams and a capacity model
Technologies covered
- DSA
- System Design
- LLD
- HLD
- Design Patterns
- Distributed Systems
- Microservices
- Caching
- Message Queues
- Java
- Spring Boot
- Python
- Docker
- Kubernetes
Duration is indicative and depends on the hours you can commit each week. Most learners do this alongside a full-time job.
6 modules, in order
Each module builds on the one before it. The order matters more than most self-taught routes assume.
Data Structures & Algorithms
- Complexity analysis
- Arrays, strings & hashing
- Trees & graphs
- Dynamic programming
- Problem patterns
Object-Oriented Design
- SOLID principles
- Design patterns
- Composition over inheritance
- Refactoring
- Testable design
Low-Level Design
- Class & sequence modelling
- Concurrency
- Thread safety
- UML diagrams
- Design walkthroughs
High-Level Design
- Capacity estimation
- Component decomposition
- Data flow
- Storage choice
- Trade-off articulation
Distributed Systems
- Consistency & availability
- Caching strategies
- Message queues
- Databases at scale
- Partial failure
Microservices & Architecture
- Service boundaries
- API architecture
- Security & secrets
- Scalability & reliability
- ADRs & design reviews
Roles this path prepares you for
We prepare you for these roles with a portfolio, mock interviews and review. We do not guarantee placement — and you should be cautious of anyone who does.
Start the Software Engineering & Architecture Mastery path
Send your details and the academy team will share batch schedules, the full syllabus pack and fee details — plus an honest view on whether you are ready for this path.
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