API Development & Advanced SQL Architecture
Master the backbone of scalable software engineering. Design high-throughput RESTful, GraphQL, and gRPC APIs, implement enterprise OAuth2/JWT security, and master advanced SQL query tuning, indexing, window functions, and PostgreSQL transaction isolation.
Who Is This Program Ideal For?
Crafted for developers, backend engineers, and data professionals seeking specialized excellence in API architectures and high-performance SQL query tuning.
Aspiring Backend Engineers
Developers and freshers wanting to specialize in high-concurrency RESTful architectures, OpenAPI documentation, and microservice communication protocols.
Data & SQL Specialists
Data analysts and database administrators wanting to master advanced SQL, complex CTEs, window functions, and database query optimization.
System & Integration Leads
Engineers aiming for top-tier roles like API Developer, Database Architect, Backend Solutions Engineer, and Integration Specialist.
Core Skills You Will Build
Comprehensive technical mastery across API design protocols, distributed data query performance, authentication mechanisms, and caching pipelines.
Design idempotent REST APIs, flexible GraphQL schemas & resolvers, and high-speed binary RPC protocols with Protocol Buffers.
Master CTEs, Window Aggregations, EXPLAIN ANALYZE cost plans, B-Tree/GIN indexes, and partitioned database tables.
Implement OAuth2, JWT asymmetric signing (RS256), HMAC webhook signatures, API Rate Limiting, and CORS policies.
Configure Redis caching strategies (Cache-Aside, Write-Through), connection pooling with PgBouncer, and message queue offsets.
Curriculum & Modular Syllabus
A structured 5-module progression from core database modeling and query tuning to enterprise distributed API platforms.
- Relational Database Architecture: PostgreSQL and MySQL internals, Storage Engines, and WAL (Write-Ahead Logging)
- Advanced SQL: Common Table Expressions (Recursive CTEs), Subqueries, and Complex Multi-Table Joins
- Window Functions: ROW_NUMBER(), DENSE_RANK(), NTILE(), LEAD(), LAG(), and Running Aggregations (OVER, PARTITION BY)
- Database Constraints, Foreign Keys, Cascades, Triggers, Views, and Materialized Views with automatic refreshes
- Query Optimization: Reading and interpreting execution plans using EXPLAIN ANALYZE and identifying sequential scan bottlenecks
- Indexing Strategies: B-Tree, Hash, GIN, GiST, BRIN indexes, Composite Index column order, and Partial Indexes
- ACID Compliance & Transaction Isolation Levels: Read Committed, Repeatable Read, and Serializable deep dive
- Deadlock prevention, Row-level locking (SELECT FOR UPDATE), and managing connection pooling with PgBouncer
- REST Principles: Resource naming standards, HTTP Verbs (GET, POST, PUT, PATCH, DELETE), Status Codes, and Idempotency
- API Design-First approach: Authoring OpenAPI 3.0 & Swagger specifications, Contract Testing, and Mock Servers
- Pagination, Filtering & Sorting standards: Offset-based vs. Cursor-based (Keyset) pagination for massive datasets
- Standardized Error Handling RFC 7807 (Problem Details), Request validation, and Content Negotiation (JSON/XML)
- Authentication & Authorization: OAuth 2.0 / OIDC flows, JWT Access/Refresh tokens, API Keys, and Role-Based Access Control (RBAC)
- API Protection: Rate limiting algorithms (Token Bucket, Leaky Bucket), DDoS protection, and HMAC Webhook verification
- GraphQL API Development: Schemas, Types, Query/Mutation Resolvers, and solving the N+1 problem with DataLoader
- High-Performance gRPC: Protocol Buffers (.proto files), Unary and Streaming RPCs for lightning-fast microservice communication
- High-Speed Caching: Redis Cache-Aside, Write-Through patterns, Cache Invalidation, and TTL strategy formulation
- Automated Testing & Monitoring: Integration testing with Postman/Newman, Load Testing using k6, and Prometheus metrics
- Containerizing API services with Docker, multi-container setups (API Gateway + Redis + PostgreSQL)
- Deploying APIs to AWS / Cloud Gateways, System Design interviews for API engineers, and 1-on-1 mock technical reviews
Real-World Enterprise Capstone Projects
Build rich portfolio projects to showcase directly to hiring managers and recruiters.
Payment Gateway & Automated Webhook Engine
Architect a resilient payment processing API featuring Stripe/Razorpay integration, HMAC signatures, exponential backoff retries, and ledger SQL schema.
E-Commerce Query Tuning & Partitioning Engine
Optimize an analytical SQL engine with 5M+ orders using table partitioning, composite indexing, and materializing executive KPI dashboards.
Multi-Source GraphQL Federated Data Platform
Construct a unified GraphQL gateway with Apollo Server that aggregates customer, product, and inventory services with sub-second response times.
High-Speed gRPC Microservice Logistics Mesh
Develop an ultra-low-latency tracking microservice using Protocol Buffers, bidirectional gRPC streaming, Redis cache, and PgBouncer.
Learner Success & Reviews
See how our alumni transitioned into high-growth API Developer and Database Engineer roles.
"The deep dive into PostgreSQL execution plans, cursor pagination, and OAuth2 security architectures gave me the exact technical depth to crack Razorpay's backend rounds!"
"As a fresher, learning OpenAPI documentation, GraphQL DataLoader patterns, and Redis caching set my technical interviews apart from standard candidates completely."
Frequently Asked Questions
Common queries regarding prerequisites, database engines, batch schedules, and placements.
We build API systems primarily using modern Node.js/TypeScript and Python, paired deeply with enterprise PostgreSQL, MySQL, and Redis database management systems.
Basic knowledge of SELECT queries is helpful, but we start from core relational modeling and step-by-step build you into mastering complex CTEs, window functions, and execution plans.
Yes. We provide 100% placement support, including live Postman/GitHub portfolio curation, resume optimization for product engineering companies, and 1-on-1 backend system design mock interviews.
Tools & Frameworks Covered
Master the standard analytics stack deployed across modern enterprises.
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View Syllabus →SAP S/4HANA Finance (FICO)
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View Syllabus →SAP MM (Materials Management)
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View Syllabus →SAP SD (Sales & Distribution)
Master order-to-cash cycles, pricing procedures, billing, and customer master data management.
View Syllabus →SAP PP (Production Planning)
Learn demand management, MRP, production orders, and shop floor control in S/4HANA.
View Syllabus →SAP EWM (Extended Warehouse Management)
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View Syllabus →