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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
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Master Advanced Data Engineering with AI

Master Industry-Relevant Skills Through a Structured Learning Path

Module 1 Data Engineering & Generative AI Foundations
Module 2 SQL, Python & Data Processing Fundamentals
Module 3 Cloud Data Lake & Data Warehouse Architecture
Module 4 PySpark & Big Data Engineering
Module 5 Data Pipelines & Workflow Orchestration
BEGINNER FRIENDLY

Module 1 - Data Engineering & Generative AI Foundations

Modern data engineers are increasingly expected to understand AI pipelines, LLMs, and AI-ready data architectures.

Introduction to Data Engineering
Evolution of Generative AI & LLMs
Data Engineering Lifecycle
AI-Powered Data Platforms
Prompt Engineering Fundamentals
OpenAI, Claude, Gemini & Open-Source Models
GenAI Use Cases in Data Engineering
Responsible AI & Governance Basics
TOOLS & TECHNOLOGIES:
SQL
PROJECTS:
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Tools & Technologies You'll Master

chatgpt
langchain
huggingface
Pinecone
python
fastapi
aws
docker

EXPERT FACULTY

Learn from the Best

faculty-profile

David K Marcus. trtey

AI Research Scientist @ OpenAI

9+ Yrs Exp

AI Research

LLM Fine-tuning

David is an AI Research Scientist at OpenAI working on next-generation language models. His research has contributed to GPT-4 and has been cited in over 200 academic publications.David is an AI Research Scientist at OpenAI working on next-generation language models. His research has contributed to GPT-4 and has been cited in over 200 academic publications.David is an AI Research Scientist at OpenAI working on next-generation language models.

Top Instructor

4.9/5

Demo Lectures

Fine-tuning GPT Models

19:10

Fine-tuning GPT Models

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RLHF from Scratch

22:30

RLHF from Scratch

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Building Agents with Tool Use

20:00

Building Agents with Tool Use

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Evaluating LLM Outputs at Scale

16:15

Evaluating LLM Outputs at Scale

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Feedback

Student Feedback — David K. (1)

04:20

Student Feedback — David K. (1)

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Student Feedback — David K. (2)

05:55

Student Feedback — David K. (2)

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Student Feedback — David K. (3)

03:10

Student Feedback — David K. (3)

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Student Feedback — David K. (4)

06:40

Student Feedback — David K. (4)

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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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