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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
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

Tools & Technologies You'll Master

chatgpt
langchain
huggingface
Pinecone
chatgpt
langchain
huggingface
Pinecone
python
fastapi
aws
docker
python
fastapi
aws
docker

EXPERT FACULTY

Learn from the Best

faculty-profile

Dr. Aris T.

Principal Data Architect

15+ Yrs Exp

Distributed Systems

GenAI Pipelines

Dr. Aris leads the Data Infrastructure team at Meta. He specializes in building petabyte-scale real-time processing engines and has pioneered several open-source data orchestration frameworks.

Excellent Tutor

4.9/5

Demo Lectures

Scaling Spark Clusters on AWS

12:45

Scaling Spark Clusters on AWS

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Vector DBs for RAG Applications

18:20

Vector DBs for RAG Applications

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Real-Time Pipelines with Kafka

21:05

Real-Time Pipelines with Kafka

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Data Mesh Architecture Explained

15:30

Data Mesh Architecture Explained

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Feedback

Student Feedback — Dr. Aris T. (1)

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Student Feedback — Dr. Aris T. (1)

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Student Feedback — Dr. Aris T. (2)

05:48

Student Feedback — Dr. Aris T. (2)

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Student Feedback — Dr. Aris T. (3)

03:55

Student Feedback — Dr. Aris T. (3)

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Student Feedback — Dr. Aris T. (4)

06:20

Student Feedback — Dr. Aris T. (4)

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