Data Engineering with Generative & Agentic AI Specialisation

Build practical expertise in Data Engineering, Cloud Data Platforms, ETL Pipelines, Big Data, Generative AI and Agentic AI systems through live instructor-led training, hands-on projects and industry-focused learning.

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About the Program

The Data Engineering with Generative & Agentic AI Specialisation is designed to help learners develop practical expertise in building modern data pipelines, managing large-scale data systems and creating intelligent AI-powered applications.

The program covers Python, SQL, ETL, Data Warehousing, Apache Spark, Cloud Platforms, Data Lakes, Generative AI, Large Language Models and Agentic AI workflows.

Through live sessions, practical labs, real-world projects and industry-based use cases, learners gain hands-on experience in designing scalable data systems and integrating advanced AI capabilities into modern enterprise environments.

This program is suitable for graduates, working professionals and technology learners who want to build careers in Data Engineering, Cloud Data and next-generation AI.

The Sifr Sophia Advantage

A career-focused learning ecosystem combining technical training, hands-on implementation, mentorship and industry-aligned project experience.

1. Career Launch & Job Assurance

Get structured support with resume development, interview preparation, career counselling and relevant job opportunities.

2. Dedicated Mentorship

Learn from experienced trainers and receive continuous technical guidance throughout the program.

3. Hands-On Learning

Build practical data pipelines, cloud workflows, AI applications and automation solutions through guided labs.

4. Professional Certification

Earn professional certification after successfully completing the curriculum, assessments and practical projects.

5. Real-World Projects

Work on industry-oriented projects involving ETL, cloud data platforms, GenAI applications and AI agent workflows.

6. Domain Specialization

Develop skills in Generative AI and Agentic AI alongside core Data Engineering technologies to prepare for emerging technology roles.

WHAT YOU WILL LEARN

A Curriculum Built for Modern Data & AI Engineering

Build end-to-end expertise in data pipelines, cloud platforms, large-scale processing, Generative AI and autonomous AI systems.

Foundations of Data Engineering

Understand the role of Data Engineering and learn how data moves from different sources into structured systems for analytics, reporting and AI applications.

Topics Covered

Introduction to Data Engineering
Data Engineering Lifecycle
Structured & Unstructured Data
Data Sources
Data Ingestion
Batch vs Real-Time Processing
Data Architecture Fundamentals
Data Quality
Data Governance Basics

Python for Data Engineering

Build practical Python programming skills for data processing, automation, pipeline development and backend data operations.

Topics Covered

Python Fundamentals
Variables & Data Types
Functions
File Handling
Object-Oriented Programming
Data Processing
Pandas
NumPy
API Integration
Automation with Python

SQL & Advanced Database Management

Develop strong SQL and database skills required to retrieve, transform and manage large datasets efficiently.

Topics Covered

SQL Fundamentals
Joins
Subqueries
Aggregate Functions
Window Functions
CTEs
Stored Procedures
Query Optimization
Database Design
Data Extraction
Advanced SQL

ETL & Data Pipeline Development

Learn how to design reliable pipelines that extract data from multiple systems, transform it and load it into analytics-ready platforms.

Topics Covered

ETL Fundamentals
ELT Architecture
Data Extraction
Data Transformation
Data Loading
Pipeline Scheduling
Workflow Automation
Error Handling
Data Validation
Pipeline Monitoring

Data Warehousing & Data Modelling

Understand how enterprise data warehouses are designed and how data models are structured for reporting, analytics and business intelligence.

Topics Covered

Data Warehouse Fundamentals
OLTP vs OLAP
Dimensional Modelling
Star Schema
Snowflake Schema
Fact & Dimension Tables
Slowly Changing Dimensions
Data Marts
Warehouse Architecture
Performance Optimization

Big Data & Apache Spark

Learn how large-scale data is processed using distributed computing technologies and modern Big Data frameworks.

Topics Covered

Introduction to Big Data
Distributed Computing
Hadoop Fundamentals
Apache Spark
PySpark
Spark DataFrames
Spark SQL
Data Transformation
Large-Scale Processing
Performance Optimization

Data Lakes & Lakehouse Architecture

Understand modern data storage architectures used to manage structured, semi-structured and unstructured enterprise data.

Topics Covered

Data Lake Fundamentals
Data Lakehouse Architecture
Data Storage Layers
Raw, Curated & Serving Zones
Parquet
Delta Lake
Schema Evolution
Data Partitioning
Data Catalogues
Data Governance

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Industry Experts

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Certification

Get Industry-Recognized Certification

Earn credentials that validate your investment banking expertise and set you apart in competitive finance hiring.

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How Do I Join the Data Engineering with Generative & Agentic AI Specialisation?

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Fee Structure

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INR 2,10,000

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Sifr Sophia

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D/8, Saudi Exporters, D Block, Sector 2, Noida, Uttar Pradesh 201301
Eden super market, Besides, opp. TMC Garden, Vihang Valley Phase 1, Sai Nagar, Kasarvadavali, Thane West, Thane, Maharashtra 400615
D/8, Saudi ExpEden super market, Besides, opp. TMC Garden, Vihang Valley Phase 1, Sai Nagar, Kasarvadavali, Thane West, Thane, Maharashtra 400615orters, D Block, Sector 2, Noida, Uttar Pradesh 201301

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