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PG Program in Backend Development Engineering

Master server-side engineering — REST APIs, databases, authentication, deployment and scalable architecture — on production-style projects that stand up in a developer portfolio.

Duration6 Months
ModeLive Online
Learners10,000+
Enroll Now - ₹1,70,000Download Brochure
Next BatchJuly 18, 2026
Duration6 Months · Live Online
Industry Projects30+
EligibilityFreshers, Graduates, Experienced

What you’ll gain from this program

This PG Program in Backend Development Engineering equips you with API design, database, authentication, testing and deployment skills through production-style projects and expert guidance.

REST & API Design Mastery
Node.js & Express Development
SQL & NoSQL Database Modeling
Authentication & Authorization
Docker & Cloud Deployment
200+ Hrs Engineering-Focused Content
300+ Hrs Live Coding Sessions
Working Backend Engineers as Mentors
Backend Engineering Job Placement Support
Round-the-Clock Assistance
Backend Engineering Curriculum Track
Skill Evaluation Tests
Learning Performance Analytics Dashboard
Professional Community Access
Self-Paced Learning Options
Global Alumni Community
Mock Interview Training
Backend Engineering Certificates
Advanced LMS Platform
Live System Design Case Studies
Node.jsExpressMongoDBSQLAuth

PG Program in Backend Development Engineering curriculum

A comprehensive curriculum designed by industry experts combining JavaScript, Node.js, Express, SQL and NoSQL databases, authentication, testing, Docker and cloud deployment. Master API design, system architecture and production readiness with hands-on projects.

📚 21 modules · learning roadmap

01Introduction to Backend Engineering
  • What backend engineers own in a product
  • Client-server architecture explained
  • How a request travels end to end
  • Backend languages and runtimes compared
  • Career paths in backend and platform teams
  • Industry trends and outlook
02JavaScript & TypeScript Foundations
  • Modern JavaScript syntax and semantics
  • Closures, scope and the event loop
  • Promises, async/await and error handling
  • Modules and package management with npm
  • TypeScript types, interfaces and generics
  • Language foundations exercise set
03Node.js Fundamentals
  • The Node runtime and event loop in practice
  • Core modules: fs, path, http, events
  • Streams and buffers
  • Environment configuration and secrets
  • Debugging and profiling Node applications
  • First Node service build
04Building APIs with Express
  • Routing, controllers and middleware
  • Request parsing and response shaping
  • Centralised error handling
  • Project structure that scales
  • Logging and request tracing
  • REST API build project
05REST API Design
  • Resource modeling and URL design
  • HTTP methods and status codes used correctly
  • Pagination, filtering and sorting
  • Versioning strategies
  • OpenAPI documentation
  • API design review exercise
06SQL Databases
  • Relational modeling and normalisation
  • PostgreSQL setup and core SQL
  • Joins, aggregations and subqueries
  • Indexes and query performance
  • Transactions and ACID guarantees
  • Relational database project
07NoSQL & MongoDB
  • Document databases versus relational
  • MongoDB schema design patterns
  • CRUD operations and the aggregation pipeline
  • Indexing in MongoDB
  • Embedding versus referencing
  • MongoDB-backed service project
08ORMs & Data Access Layers
  • ORM concepts and trade-offs
  • Prisma, Sequelize and Mongoose in practice
  • Migrations and schema evolution
  • Repository pattern and data access separation
  • Seeding and test data management
  • Data layer refactor exercise
09Authentication & Authorization
  • Password hashing done properly
  • Session-based versus token-based auth
  • JWT issuance, refresh and revocation
  • OAuth 2.0 and third-party login
  • Role and permission based access control
  • Complete auth system project
10API Security
  • The OWASP API Security Top 10
  • Input validation and injection prevention
  • Rate limiting and abuse protection
  • CORS, CSRF and secure headers
  • Secrets management and key rotation
  • API hardening lab
11Testing Backend Systems
  • Unit testing with Jest
  • Integration testing against a real database
  • API contract testing with Supertest
  • Mocking, stubbing and fixtures
  • Coverage, flakiness and test discipline
  • Test suite build project
12Caching & Performance
  • Where latency actually comes from
  • Redis fundamentals and data types
  • Cache strategies and invalidation
  • Database query optimisation
  • Load testing and benchmarking
  • Performance tuning exercise
13Asynchronous Processing & Queues
  • When to move work out of the request path
  • Message queues and job workers
  • BullMQ and RabbitMQ concepts
  • Retries, dead letter queues and idempotency
  • Scheduled and recurring jobs
  • Background processing project
14Real-Time Backends
  • WebSockets versus polling
  • Socket.IO event architecture
  • Server-sent events and streaming
  • Scaling real-time connections
  • Presence, rooms and broadcast patterns
  • Real-time feature project
15Microservices & System Architecture
  • Monolith versus microservices trade-offs
  • Service boundaries and communication
  • API gateways and service discovery
  • Event-driven architecture basics
  • Distributed system failure modes
  • Architecture design exercise
16Docker & Containerisation
  • Images, containers and layers
  • Writing an efficient Dockerfile
  • Docker Compose for local environments
  • Container networking and volumes
  • Container security basics
  • Containerised application project
17Cloud Deployment & DevOps
  • Deploying to AWS, Render or Railway
  • Environment configuration across stages
  • CI/CD pipelines with GitHub Actions
  • Zero-downtime deploys and rollbacks
  • Infrastructure basics for backend engineers
  • Full deployment pipeline project
18Observability & Production Operations
  • Structured logging that helps at 3am
  • Metrics, dashboards and alerting
  • Distributed tracing fundamentals
  • Health checks and graceful shutdown
  • Incident response for backend services
  • Observability instrumentation lab
19Scalability & System Design
  • Horizontal versus vertical scaling
  • Load balancing strategies
  • Database replication and sharding
  • Consistency, availability and partition trade-offs
  • Designing systems at interview whiteboard level
  • System design case study
20Backend Engineering Capstone Project
  • End-to-end production-style backend build
  • Requirements, data model and API contract
  • Implementation with tests and security
  • Containerised deployment to the cloud
  • Documentation and architecture write-up
  • Portfolio packaging of the capstone
21Engineering Career Readiness & Interview Prep
  • Developer resume creation and optimization
  • Data structures and algorithms preparation
  • System design interview training
  • Behavioral interview training
  • GitHub and LinkedIn portfolio for engineers
  • 1 year Placement Support for Top Fellows

Internship program

  • Real-world Backend Engineering Projects
  • Production-Style API Development
  • Database Design & Optimisation Work
  • Code Review & Pull Request Workflows
  • Deployment & Release Participation
  • Industry Mentorship by Working Backend Engineers

Soft skills program

  • Technical Documentation & API Communication
  • Code Review & Constructive Feedback
  • Debugging & Systematic Problem Solving
  • Cross-Functional Collaboration with Product & Frontend
  • Ownership & On-Call Responsibility
  • Professional Networking & Relationship Building

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