AI & DATA

Data Engineering & AI Pipelines

Build scalable streaming data pipelines, modern cloud lakehouses, and high-throughput ingestion architectures powering ML models.

6 Months 150+ Hours Live + Hands-on IBM Big Data Aligned
Data Engineering & AI Pipelines practical training
6 Months
Instructor-led program
IBM
Learning ecosystem access
Microsoft
Learning ecosystem access
Projects
Hands-on portfolio
Credentials
Credential pathways
Internship*
6-month paid internship

What You Will Learn

Structured curriculum designed for practical, job-ready skills.

01
Data Engineering Foundations
Linux, Python, SQL & data architecture
02
ETL & Data Pipelines
ETL/ELT, orchestration, validation & scheduling
03
Big Data
Spark, PySpark, distributed processing & optimization
04
Cloud Data Platforms
Object storage, warehouses, lakes & cloud services
05
Streaming & AI Data
Kafka, real-time pipelines & AI-ready data
06
Engineering Capstone
Production-style pipeline, monitoring & documentation

Tools & Technologies

Hands-on enterprise stack used across the program.

Python
Hands-on
SQL
Hands-on
PySpark
Hands-on
Spark
Hands-on
Kafka
Hands-on
Airflow
Hands-on
Snowflake
Hands-on
AWS
Hands-on

Production Capstone Projects

Build a portfolio of enterprise-grade projects evaluated by working tech leaders.

Lakehouse

Multi-Cloud Enterprise Lakehouse Architecture

Delta Lake and Snowflake lakehouse ingesting batch and CDC telemetry from 5 distinct ERP and CRM sources.

SnowflakedbtPySparkAWS S3
Streaming Pipeline

High-Throughput Financial Ticker Stream Ingestion

Real-time streaming ingestion pipeline handling 50,000 events/sec with Apache Kafka and Spark Structured Streaming.

Apache KafkaApache SparkAirflowDocker
Orchestration

Production Data Pipeline Orchestrator with Airflow

Automated DAG workflow managing dependency reconciliation, SLA alert escalation, and data quality testing via Great Expectations.

Apache AirflowPythonPostgreSQLDocker
Data Quality

Automated Data Observability & Anomaly Detector

Metadata tracking pipeline scanning ingestion anomalies, column distribution drift, and missing schema alerts.

dbtGreat ExpectationsSQLSnowflake

Career Opportunities & Outcomes

Prepare for top-tier roles across our 500+ corporate recruitment partners.

Target Salary Range: ₹8 - 26 LPA

High-Demand Career Tracks:

Senior Data Engineering & Pipelines EngineerData Engineering & Pipelines ArchitectData Engineering & Pipelines ConsultantLead Production EngineerPlatform SpecialistCloud Solutions Specialist

Frequently Asked Questions

Everything you need to know about admissions, curriculum, and internships.

This program is beginner-friendly and starts from fundamental core principles before advancing to production-grade enterprise implementations. Prior exposure to basic computing or programming is helpful but not mandatory.

Upon fulfilling course benchmarks and capstone assessments, you are placed into a guaranteed 6-month corporate paid internship offering ₹15,000–₹25,000 per month stipend (totaling ₹90,000 to ₹1,50,000 in stipend earnings) with verified corporate experience letters.

You will earn official credentials and digital badges aligned with IBM Big Data Aligned, alongside an official AI Campus Certificate of Mastery that is verifiable on LinkedIn and recognized by 500+ corporate hiring partners.

The program fee of ₹80,000 (inclusive of GST) can be paid via 0% interest no-cost EMI starting from ₹6,666/month with zero down payment required.

Graduates qualify for high-growth roles in AI & Data with corporate salary packages typically spanning from ₹8 - 26 LPA, backed by our dedicated 100% placement support team.

🎓 1-on-1 Senior Engineering Mentorship

Confused about your career path? Don't wait — talk directly to a mentor.

Get transparent, personalized guidance on curriculum, eligibility, scholarship waivers, and the guaranteed ₹15,000–₹25,000 monthly internship stipend. No sales pressure — just honest advice from working tech leaders.

15-Min Free Strategy Call Profile & Resume Review Personalized Learning Roadmap
⚡ Next batch starts soon • Limited 30 seats

Learn from Global Technology Ecosystems

Dedicated learning access and credential pathways through applicable IBM and Microsoft programs.

Learning access • Skills • Credentials
Microsoft Learning access • Applied skills • Credentials