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

2 WEEKS BEGINNER FRIENDLY

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:

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Tools & Technologies You'll Master

chatgpt

langchain

huggingface

Pinecone

python

fastapi

aws

docker

EXPERT FACULTY

Learn from the Best

Runin S.

Data Engineer @ Databricks

8+ Yrs Exp

Apache Spark

Delta Lake

Runin is a Data Engineer at Databricks and a core contributor to the Apache Spark project. He has trained 1,000+ engineers on big data technologies and modern data lakehouse architecture.

Excellent Tutor

4.9/5

Demo Lectures

Delta Lake Deep Dive

11:45

Delta Lake Deep Dive

Spark Optimization Techniques

15:20

Spark Optimization Techniques

Lakehouse Architecture with Unity

18:30

Lakehouse Architecture with Unity

Structured Streaming in Practice

13:50

Structured Streaming in Practice

Feedback

Student Feedback — Runin S. (1)

04:05

Student Feedback — Runin S. (1)

Student Feedback — Runin S. (2)

05:25

Student Feedback — Runin S. (2)

Student Feedback — Runin S. (3)

03:50

Student Feedback — Runin S. (3)

Student Feedback — Runin S. (4)

06:10

Student Feedback — Runin S. (4)

What Our Students Say

Career Transition to Data Engineering

Rahul Sharma

Data Engineer at Tech Solutions

4+ Years Experience

From Analyst to Data Engineer

Anjali Sahu

Data Engineer at Google

3+ Years Experience

Landing My First Data Science Role

Harsh Gupta

Data Scientist at Microsoft

2+ Years Experience

Breaking Into ML Engineering

Priya Verma

ML Engineer at Amazon

5+ Years Experience

Frequently Asked Questions

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