AI Database Administrator

Designs, manages and optimises databases that support AI and analytics workloads.

⏱5 Months Duration

🏛️QP Code: SSC/Q8109

🏫Instructor: TBD

📅 Next batch: 1 July 2026·⚡ Limited seats — register early

About This Course

Designs, manages and optimises databases that support AI and analytics workloads.

🏛️NASSCOM / IT-ITeS SSC Certified

✅Government Recognised Certificate

⏱5 Months Program

💼Placement Support Included

📈Min 70% per NOS to Pass

🏫Live Projects & Portfolio

Course Curriculum

SSC/Q8109 · NSQF Level 6 · Assessment: Minimum 70% per technical NOS module.

Relational database design: normalisation (1NF–5NF), ER modelling, schema design
SQL Server/Oracle/PostgreSQL: installation, configuration, user management
Database objects: tables, views, stored procedures, triggers, functions, indexes
Performance tuning: query optimisation, execution plans, index strategies, statistics

MongoDB: document model, BSON, CRUD operations, aggregation pipeline, indexing
Key-value stores (Redis); column-family stores (Cassandra); graph databases (Neo4j) — overview
When to choose SQL vs NoSQL; polyglot persistence; MongoDB Atlas cloud

Hadoop ecosystem: HDFS, MapReduce, YARN; Hive for SQL on Hadoop
Apache Spark: RDDs, DataFrames, SparkSQL; batch vs stream processing
Data Lake vs Data Warehouse; Delta Lake concepts; managing large-scale AI/ML datasets

Database security: authentication, authorisation, row-level security, data masking
Encryption at rest and in transit; TDE; backup strategies: full, differential, incremental; PITR
Disaster recovery planning; RTO/RPO; high availability (HA) and failover

ETL/ELT pipelines: design, implementation, monitoring
Data integration tools: Apache Kafka (intro), Airflow basics, dbt
Supporting AI/ML data needs: feature stores, data versioning

Key Learning Outcomes

SQL database design, administration and performance tuning
NoSQL (MongoDB, Redis)
Hadoop/Spark big data
data security, backup, HA, DR
ETL/ELT data pipelines
feature stores

Tools & Technologies

SQL Server/Oracle/PostgreSQL MongoDB Hadoop/Spark cloud databases (AWS RDS/Azure SQL) Kafka (intro)

Career Progression

Senior DBA

Data Architect

Frequently Asked Questions

What is AI Database Administrator and who is it for?

AI Database Administrator is a NASSCOM-certified course offered at White Banger Academy, Kaithal. It is designed for students, fresh graduates, and working professionals who want a government-recognised IT qualification to enter or grow in the technology sector.

Is NASSCOM certification valuable for jobs?

Yes. NASSCOM certifications are recognised by the Government of India and accepted by 500+ hiring partners across India. They are listed under the National Skill Qualification Framework (NSQF) and carry significant weight in IT hiring.

What is the course fee and are EMI options available?

Course fees depend on the batch and duration. White Banger offers flexible payment options including EMI. Please fill our enquiry form or WhatsApp us at +91 97283-20132 for the current fee structure.

Do you provide placement assistance after the course?

Yes. White Banger provides 100% placement support including resume building, mock interviews, and connections to our 500+ hiring partner network. Our placement rate is 92%.

What are the eligibility criteria and batch timings?

Most NASSCOM courses require Class 10 or 12 completion. Batches run in morning and evening slots (Monday to Saturday). The next batch starts 1 July 2026 — seats are limited, so early registration is recommended.