Software Engineering & Architecture Mastery
DSA, system design and solution architecture in one arc — the programme for Software Engineer, Backend Engineer, System Designer and Solution Architect roles.
- Duration
- 10 – 12 months
- Skill level
- Beginner → Advanced
- Modules
- 9
- Lessons
- 36+
Mode
Live + recorded · Weekend and evening batches
Technologies
- Java
- Spring Boot
- Python
- SQL
- PostgreSQL
- Redis
- Kafka
- Docker
- Kubernetes
- UML
What this course is, and who it is for
Most engineers can make something work. This programme is about making it work at scale, under load, for years, with other people maintaining it. It runs from data structures and algorithms through low- and high-level design to distributed systems and the architecture decisions senior roles are hired to make. Every module ends in a design you defend out loud, because that is how the interview goes and how the job works.
Learning outcomes
By the end of this course you will be able to:
- 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
Every project is built on real data and reviewed by a mentor before it goes into your portfolio.
9 modules, 36+ lessons
The full syllabus, module by module. Nothing hidden behind an enquiry form.
Data Structures & Algorithms
- Complexity analysis that holds up
- Arrays, strings, hashing and two pointers
- Trees, graphs and traversal patterns
- Dynamic programming and greedy reasoning
Object-Oriented Design
- SOLID principles in real code
- Creational, structural and behavioural patterns
- Composition over inheritance
- Refactoring towards a pattern, not into one
Low-Level Design (LLD)
- Class and sequence modelling
- Concurrency and thread safety
- Designing for testability
- Walking a design under interview conditions
High-Level Design (HLD)
- Requirement to capacity estimate
- Component decomposition
- Data flow and storage choice
- Trade-off articulation
Databases & Caching
- Relational modelling and indexing
- Transactions, isolation and locking
- Cache strategies and invalidation
- When NoSQL actually helps
Distributed Systems & Queues
- Consistency, availability and partitions
- Message queues and event streaming
- Idempotency and the exactly-once myth
- Failure modes and partial failure
Microservices & API Architecture
- Service boundaries that survive
- REST, gRPC and contract design
- Authentication, authorisation and secrets
- Observability across service hops
Scalability & Reliability
- Load testing and bottleneck hunting
- Horizontal scaling and sharding
- SLOs, error budgets and alerting
- Graceful degradation and backpressure
Architecture Communication
- Architecture Decision Records (ADRs)
- UML and C4 diagrams that earn their space
- Design reviews and dissent
- Presenting a system to non-engineers
The system design answer that gets you hired
A free session on the shape of a strong design interview — clarifying the requirement, estimating scale, choosing a data model, and naming the trade-off you are making instead of pretending there is none.
Video hosting is being finalised. Request access below and we will send you the session link.
Your instructor
Lead Mentor — Java Backend
Senior Backend Architect
Teaches enterprise backend engineering from the perspective of systems that have to run for a decade: transactions, security boundaries and services that can be handed over.
Expertise
- Java
- Spring Boot
- Spring Security
- JPA
- Microservices
- Docker
Instructor profiles are placeholders describing the mentor role for this course. Named profiles and credentials will be published before launch.
Questions about this course
More general questions about batches, certificates and refunds are answered on the FAQ page.
You should be able to write and debug a program in at least one language. The algorithms module starts from first principles, but it moves at the pace of someone who already codes rather than someone learning syntax.
Interviews are the near-term test, not the purpose. The same material is what the job asks for — the difference is that at work nobody hands you the constraints, which is why every module ends in a design you have to justify.
Java and Spring Boot for the architecture work, with Python where it is quicker to demonstrate an idea. The patterns transfer: you are learning design, not a framework.
Join Software Engineering & Architecture Mastery
Send your details and the academy team will share the next batch schedule, the full syllabus pack, fee details and the free demo lesson link.
- Duration
- 10 – 12 months
- Skill level
- Beginner → Advanced
- Mode
- Live + recorded · Weekend and evening batches
- Modules
- 9 modules, 36+ lessons
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