Advanced Database Engineering
Deep mastery of PostgreSQL, MongoDB, and Redis for production-grade database architecture.
Your Learning Schedule
2 hrs live class/day + 2 hrs self-study at home (required).
Classrooms and labs stay fully open all day. Come study, pair-program, and build.
Minimum 2 hrs focused practice beyond class at home. This is what builds real mastery.
PostgreSQL advanced indexing: B-tree, GIN, GiST, BRIN, partial, and expression indexes
Query optimization: EXPLAIN ANALYZE, query planning, CTEs, window functions, lateral joins
PostgreSQL operations: table partitioning, logical replication, PgBouncer connection pooling, PL/pgSQL
Mar 1, 2026 – Dec 31, 2099
Save NPR 3,300 on this course right now.
Live interactive sessions with trainers
Small-batch feedback on your lab work and query optimization exercises
Course materials, recordings, and lab support
Personalized guidance after Saarathi Gate on pacing, practice focus, and support
Upcoming Batch
Enrolling Now
Limited seats. Final class timing is confirmed within 48 hours based on availability.
About this Course
Most engineers learn enough database skills to make their app work. But production systems demand much more: properly designed indexes, optimized queries, replication for reliability, and the right database for each use case.
This module covers all three production databases engineers actually use together. PostgreSQL for relational data with deep optimization, MongoDB for document modeling and aggregation, and Redis for caching, pub/sub, and real-time patterns. You graduate able to design, operate, and optimize multi-database production architectures.
PostgreSQL advanced indexing: B-tree, GIN, GiST, BRIN, partial, and expression indexes
Query optimization: EXPLAIN ANALYZE, query planning, CTEs, window functions, lateral joins
PostgreSQL operations: table partitioning, logical replication, PgBouncer connection pooling, PL/pgSQL
MongoDB: document modeling, aggregation pipeline, compound indexes, transactions, Atlas replica sets
Redis: data structures, TTL-based caching, invalidation strategies, pub/sub, Redis Streams
Polyglot persistence: database selection frameworks and multi-database architecture patterns
Capstone spotlight
Multi-Database Production Architecture
> Note: Project themes may evolve each batch, but every learner still completes one trainer-approved final project from the approved pool. Smaller guided exercises can happen during the course, but the public completion standard stays anchored to one polished final outcome.
- Design PostgreSQL schemas with proper normalization, partitioning, and index strategies
- Write and optimize complex queries using EXPLAIN ANALYZE, CTEs, and window functions
- Set up replication, connection pooling, and PL/pgSQL procedures for production operations
- Model MongoDB documents for aggregation pipelines and production access patterns
Why This Course?
Global Context: Database skills are a consistent gap in engineering teams. Engineers who understand query planning, index design, replication, and polyglot persistence are consistently sought after for senior and specialist roles.
Nepal Context: Product teams, fintech companies, and remote engineering roles increasingly require engineers who understand the data layer deeply — not just how to write queries but how to make them fast, reliable, and scalable.
Your Opportunity: This module gives you the database depth most self-taught engineers skip. Whether you want to optimize your current stack or move into backend, data engineering, or platform roles — this module fills the gaps that matter.
How Saarathi Gate shapes your learning plan
Saarathi Gate is a diagnostic, not a pass-or-fail exam. It helps us understand your current skill level, how you learn best, where you are already strong, and where you need extra support before the batch begins.
Before the batch starts
You complete Saarathi Gate so we can understand your current skill level, how you learn best, your strengths, and the support you may need before classes begin.
During the course
Trainers use that diagnostic profile to guide pacing, practice focus, feedback, and the kind of support that helps you learn best.
Certification and proof of work
Certification for Advanced Database Engineering depends on attendance, required coursework, trainer review, and the practical work described in the micro-syllabus and full syllabus.
Curriculum
A structured journey to mastery
| Week | Focus Area | What You'll Master |
|---|---|---|
| W1 | Mindset & PostgreSQL Architecture Fundamentals | Database engineering mindset, relational model deep dive, normalization, PostgreSQL install and CLI, EXPLAIN basics, first query plan analysis, tool setup (psql, pgAdmin, Docker) |
| W2 | PostgreSQL Advanced Queries & Indexing | Index types in depth (B-tree, GIN, GiST, BRIN, partial, expression), EXPLAIN ANALYZE, window functions, CTEs, lateral joins, full-text search |
| W3 | PostgreSQL Operations & Scaling | Table partitioning strategies, logical replication setup, PgBouncer connection pooling, PL/pgSQL stored procedures, triggers, advisory locks, vacuum and maintenance |
Where this course can lead
These are examples of roles, responsibilities, or directions this course can help you grow toward.
Frequently Asked Questions
Yes. You must have built at least one application that uses a database. SQL basics (SELECT, INSERT, JOIN) and familiarity with any backend language are required. This module is designed for developers who already build apps but want to go deep on data architecture. A laptop with 8GB+ RAM and Docker installed is required. All students complete the Saarathi Gate Assessment before Day 1.
Ready to level up your database skills?
Complete Saarathi Gate, confirm your readiness, and secure your seat for the upcoming batch.
Skills You'll Master
Included Support
Live interactive sessions with trainers
Small-batch feedback on your lab work and query optimization exercises
Course materials, recordings, and lab support
Personalized guidance after Saarathi Gate on pacing, practice focus, and support