Legacy of Excellence Since 2017

Master Advanced Data Engineering with AI

Build scalable data pipelines, master cloud architecture, and integrate GenAI. A rigorous 24-week program designed for tech professionals looking to break into top-tier Data Engineering roles.

Basic AI Agents & Automation Systems

Learn LLMs, RAG, Prompt Engineering

Work on Real AI Projects

Placement Support Included

2200+ Career Transformations

300+ Hiring Partners

4.8★ Google Rating

90% Placement Assistance

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Master Advanced Data Engineering with AI

Generative AI Course Syllabus

Module 1 Foundational Database Design & Relational Querying (SQL)

Module 2 Advanced Querying, Data Warehousing & Programmable SQL

Module 3 Core Platform Programming & Data Architecture (Python)

Module 4 Data Science Foundations, Advanced Pandas & NumPy

Module 5 Core Machine Learning & Production Deployment

Module 6 Deep Learning & Classical Natural Language Processing (NLP)

Module 7 Transformer Architecture & Large Language Models (LLMs)

Module 8 Advanced Prompt Engineering & LLM Fine-Tuning

Module 9 Enterprise Retrieval-Augmented Generation (RAG) & Vector Databases

Module 10 Agentic AI, Model Context Protocol (MCP) & MLOps Infrastructure

Module 1 - Foundational Database Design & Relational Querying (SQL)

Build a strong foundation in relational databases and SQL by learning database concepts, normalization, SQL commands, constraints, functions, and data modeling.

Introduction to SQL, Database Systems & Data Engineering Foundations

Relational Database Concepts: Tables, Rows, Columns & Relationships

SQL Server Installation, SSMS Setup & T-SQL Fundamentals

ANSI SQL vs T-SQL vs PL/SQL

SQL Commands: DDL, DML, DQL & Data Manipulation Techniques

Aggregate, String, Date/Time & NULL Handling Functions

Constraints, Operators, Filters & Data Integrity Rules

Database Normalization (1NF, 2NF, 3NF)

TOOLS & TECHNOLOGIES:

SQL ServerMySQLER Diagram ToolsGit

PROJECTS: