AI Data Architecture Analyst

Designs the data architecture and models underpinning AI and analytics platforms.

⏱5 Months Duration

🏛️QP Code: SSC/Q8107

🏫Instructor: TBD

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

About This Course

Designs the data architecture and models underpinning AI and analytics platforms.

🏛️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/Q8107 · NSQF Level 6 · Assessment: Minimum 70% per technical NOS module.

Enterprise data architecture: concepts, layers, blueprints; data modelling: conceptual, logical, physical
ER modelling, dimensional modelling; normalisation and denormalisation; star schema and snowflake schema

Data Warehouse design: Kimball vs Inmon methodology; slowly changing dimensions (SCD)
Cloud data warehouses: Google BigQuery, Amazon Redshift, Azure Synapse Analytics
Data Lake architecture: landing zone, raw, curated, consumption layers; Data Lakehouse: Delta Lake, Apache Iceberg

Data integration patterns: batch ETL, real-time streaming (Kafka, Kinesis)
Master Data Management (MDM); data governance: policies, data catalogue, data lineage
Metadata management; data dictionary; data quality frameworks

Cloud architecture for data: auto-scaling, partitioning, caching strategies
Performance optimisation: indexing, query optimisation; data security: PII, GDPR/PDPA, data masking, encryption
Compliance framework: data residency, audit trails, retention policies

Feature store design for ML models; data versioning and lineage for AI
Real-time data pipelines for ML inference; selecting architecture for NLP, CV, recommendation systems

Key Learning Outcomes

Data architecture: conceptual/logical/physical modelling
Data Warehouse (Kimball/Inmon)
Data Lake
Data Lakehouse
cloud data platforms (BigQuery/Redshift/Synapse)
data governance
MDM
Kafka
GDPR/compliance

Tools & Technologies

Data-modelling tools (ERwin LucidChart) SQL/NoSQL BigQuery/Redshift/Synapse Apache Kafka Delta Lake

Career Progression

Data Architect

Enterprise Architect

Frequently Asked Questions

What is AI Data Architecture Analyst and who is it for?

AI Data Architecture Analyst 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.