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

Job-Oriented Agentic AI Course in Pune Syllabus

Module 1 SQL Fundamentals for AI Data Infrastructure

Module 2 Advanced SQL Querying & Data Warehousing Patterns

Module 3 Database Performance, Programmable SQL & Medallion Architecture

Module 4 Python Language Mastery & Native Data Structures

Module 5 Modular Python, OOP Frameworks & Data Ingestion

Module 6 Data Engineering Libraries & Exploratory Data Analysis

Module 7 Machine Learning & Deep Learning Foundations

Module 8 Core NLP & Transformer Architecture

module 9 Transfer Learning, Fine-Tuning & LLM Landscape

Module 10 Advanced Prompt Engineering & RAG Systems

Module 11 Foundations of Autonomous Agents & Frameworks

Module 13 Cloud Deployment, GenAI MLOps & Observability

Module 14 Multimodal Systems, Industry Applications & Capstone Projects

Module 1 - SQL Fundamentals for AI Data Infrastructure

Build a strong SQL foundation for AI data infrastructure by learning relational databases, data modelling, SQL environments, data types, DDL, DML, DQL, TCL, ACID properties and enterprise SQL practices. Gain hands-on experience creating, managing and querying structured databases used in AI and data engineering workflows.

Introduction to SQL and its role in AI Data Engineering

Relational Database Concepts & Data Modeling Fundamentals

SQL Server & SSMS Installation and Environment Setup

ANSI SQL, T-SQL & PL/SQL Fundamentals

SQL Syntax, Data Types & Best Practices

DDL Operations (CREATE, ALTER, DROP, TRUNCATE)

DML Operations (INSERT, UPDATE, DELETE, MERGE)

DQL, TCL & ACID Properties

TOOLS & TECHNOLOGIES:

SQL ServeSQL Server Management Studio (SSMS)ANSI SQLT-SQLPL/SQL

PROJECTS:

AI-Ready Relational Database Design and SQL Operations