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Live Program Pathway

Data Engineer with Gen AI

Build modern data platforms and AI-ready pipelines. Master Advanced SQL, Data Warehousing, Airflow Orchestration, PySpark Big Data, and GCP cloud frameworks with agentic data tools.

Duration

32 Weeks

Curriculum Modules

9 Modules

Certification

Yes, DC Issued

What You Will Learn

Architect highly scalable cloud data warehouses on GCP BigQuery
Implement robust orchestration workflows using Apache Airflow DAGs
Process massive datasets with Apache Spark and PySpark clustering
Build LLM-powered data extraction and structured outputs

Program Prerequisites

Basic knowledge of scripting (Python preferred)
Familiarity with SQL database tables

Program Syllabus

Click on any module to review detailed lesson schedules and topics.

01

Python fundamentals & OOP

Enterprise-grade practices and tasks in Python fundamentals & OOP

02

Virtual environments & Git/GitHub

Enterprise-grade practices and tasks in Virtual environments & Git/GitHub

03

Linux command-line & Bash scripts

Enterprise-grade practices and tasks in Linux command-line & Bash scripts

Real-World Capstone Projects

Build enterprise grade platforms to display on your developer resume.

MEDIUM Project

End-to-End Orchestrated Pipeline

Problem Statement:Scrape transactional records, process updates, and load clean data into a staging warehouse daily.

Outcome:Fully automated, fault-tolerant ETL pipeline with monitoring alerts.

Tech: Python, PostgreSQL, Apache Airflow

Skills: DAG Scheduling, Airflow Operators, Logging

HARD Project

Cloud Data Warehouse Architecture

Problem Statement:Design a high-density analytics schema for a multi-million row ecommerce dataset.

Outcome:BigQuery warehouse with optimized SQL and dbt lineage rules.

Tech: GCP, BigQuery, dbt

Skills: Star Schema, Partitioning, Query Tuning

HARD Project

Real-Time Logging Stream

Problem Statement:Process high-velocity IoT messages, extract anomalies, and update live alerts dashboards with sub-second latency.

Outcome:GCP Dataflow pipeline processing live streaming sensor data.

Tech: GCP Pub/Sub, Dataflow, Apache Beam

Skills: Stream Pipelines, Windowing, BigQuery Streaming

Frequently Asked Questions

Why is GCP selected as the main cloud platform?

GCP has industry-leading data engineering tools (BigQuery, Dataflow, Pub/Sub) that are ideal for training enterprise-level data engineers.

Do I get hands-on cloud access?

Yes, you write analytical SQL queries that stream logs directly to Google BigQuery sandboxes.

Secure Your Program Cohort Seat

Start learning immediately, attend interactive sessions, get mock resume reviews, and query GCP BigQuery/AI sandboxes.

Standard Tuition Fee₹19,999₹34,999
Enroll in Cohort