Database Engineer

    Master NoSQL databases and modern data architecture. Learn MongoDB, Redis, DynamoDB, Elasticsearch, and GraphQL. Build scalable multi-database applications with caching, real-time features, and full-text search. Become a production-ready database engineer.

    Duration

    19 weeks (4.75 months)

    Level
    intermediate

    About This Course

    This intensive 19-week program transforms SQL-proficient developers into full-stack database engineers. You will master MongoDB for document storage, Redis for caching and real-time features including Lua scripting, DynamoDB for serverless NoSQL, Elasticsearch for full-text search, and GraphQL for flexible API design. The course emphasizes production patterns including polyglot persistence (choosing the right database for each use case), caching strategies, horizontal scaling concepts, and managed cloud services. You will work with MongoDB Atlas, AWS ElastiCache, and other production-grade platforms. Through 16 hands-on projects and a comprehensive 3-week capstone building a multi-database SaaS application, you will develop the skills needed for database engineer and senior backend developer roles. Our Human Intelligence approach ensures you develop the data architecture intuition that distinguishes expert engineers.
    FOUNDING PRICE
    Founding Price ₹41,999

    Regular ₹69,999

    Founding pricing — for our first 50 students across all programs.

    Early Bird Special — Limited time pricing

    No cash refunds — free course transfer available in special cases

    Course Curriculum (24 Weeks)

    Course Content & Projects

    Comprehensive Learning Experience

    After enrollment, you will receive detailed course materials, week-by-week curriculum, and capstone project specifications. All resources and project details are shared in your student dashboard.

    Full curriculum access • Live sessions • Project guidance • Mentor support

    Career Outcomes

    Potential Job Roles:

    Database Engineer
    Backend Engineer (Database Focus)
    Full-Stack Developer (Data Architecture)
    Data Engineer
    Platform Engineer

    Target Salary Range:

    $100-150k(Global)

    Certificate of Completion

    Earn a blockchain-verified certificate upon successful completion.

    HI Focus: Skills AI Cannot Replace

    Database selection judgment
    choose the right database for each use case
    Data architecture design
    structure data for performance and maintainability
    Caching strategy
    know what to cache and when to invalidate
    Scaling decisions
    balance consistency, availability, and performance
    Trade-off analysis
    understand CAP theorem implications
    Production troubleshooting
    diagnose issues across multiple databases

    "Right tool, right data, right time"

    Skills You'll Gain

    MongoDB document modeling and aggregation
    Redis caching and real-time patterns
    Lua scripting for atomic operations
    DynamoDB single-table design
    Elasticsearch full-text search
    GraphQL API development
    DataLoader and N+1 prevention
    Database replication concepts
    Horizontal sharding patterns
    Polyglot persistence architecture
    Managed database services
    Zero-downtime migrations
    Multi-database application design

    Prerequisites

    Database Foundation (L1) course completion OR equivalent SQL experience
    Backend development basics
    Understanding of REST APIs and JSON
    15-20 hours per week availability

    Frequently Asked Questions