DataX Bootcamp - Zero to Job Ready AI-Enabled
Data Engineer in
90-Days 

Get my 90-day roadmap on how to build your first data pipeline, which will start bringing you interviews from recruiters and land you highly paid job roles. 
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30+ Hours of video content
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13 Modules
Register today for ₹5,799.00
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5K+
Happy Learners
4.9+ (656 ratings)
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What is this Course?

DataX Bootcamp is a fully practical, job-oriented course that turns beginners into AI-ready Data Engineers. You’ll master tools like SQL, Python, Pandas, PySpark, Delta Lake, Databricks, and PandasAI—all through real-world projects and interview-focused training designed to get you hired faster.

What will I Learn?

You’ll learn purely practical, job-focused skills—not theory. From writing optimized SQL queries and cleaning messy data with Pandas to building full ETL pipelines in PySpark, every module mirrors real tasks of a Data Engineer. You’ll also work on interview-ready projects, get AI-powered coding workflows, and finish with a solid resume + GitHub portfolio to crack real interviews.
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Never Burnout Ever Again!

You learn at your own pace, without pressure—while still following a clear, structured roadmap built by a working Data Engineer. You’ll build real projects, prep for interviews, and master tools like SQL, Python, Pandas, PySpark, and Databricks—all without burnout or overwhelm.

Course curriculum

13 Module
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85 Lessons
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60+ hours 
Welcome

Welcome to the course!

Module 0 - Orientation + Setup

Goal - Set strong foundation before jumping to Tech

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What is Data Engineering & Career Path
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What is changing in Data Engineering with AI?
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Skills needed to become a Job-Ready Data Engineer
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Setting Expectations: From first line of SQL to Full ETL Projects
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Tools Setup: Databricks, GitHub, VS Code
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Introduction to Delta Lake and Lakehouse Architecture
Module 1 - SQL for Data Engineers

Goal - Start from scratch, master SQL practically, optimize queries

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Core SQL Concepts
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Advanced SQL Topics
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Window Functions
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SQL Optimization
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Interview Level Practical Hands-on
Module 2 - Data Modeling (Using Lucidchart)

Goal: Design real-world data models visually

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Basics of Data Modeling
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Data Modeling Types
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Dimensional Modeling (Star & Snowflake)
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Tools Practice (Lucidchart Projects)
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Interview Level Practical Hands-on
Module 3 - Python for Data Engineers

Goal: Learn Python focused on Real DE tasks

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Python Fundamentals
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Working with Files and APIs
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Error Handling and Logging
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OOP Concept in Detail 
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Interview Level Practical Hands-on
Module 4 - Pandas for Data Engineering

Goal: Learn real-world data cleaning and transformation

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Pandas Basics
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Data Cleaning Techniques
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Real-world Projects
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Interview Level Practical Hands-on
Module 5: PySpark for Big Data

Goal: Handle huge data, build scalable pipelines

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Introduction to Big Data
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PySpark Basics
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Optimization in PySpark
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Interview Level Practical Hands-on
Module 6: Big Data Concepts Overview

Goal: Build clarity on big data infrastructure & Architecture

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Big Data Processing Basics
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Modern Data Stack (Hadoop, Spark, Delta Lake)
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Legacy V/S Modern Big Data Technologies
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Interview Level Practical Hands-on
Module 7: LIVE Google Jobs Aggregator – Build an End-to-End ETL Pipeline from Scratch

Goal: Combine everything into one end-to-end data project

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Ingest CSV and API Data (Python)
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Clean Data (Pandas)
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Transform Data (PySpark)
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Load into Delta Lake (Databricks)
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Build Dashboard with Databricks SQL
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Interview Level Practical Hands-on
Module 8: AI in Data Engineering (Practical AI Copilot)

Goal: Use AI tools to speed up DE tasks

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Prompt Engineering
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AI Tools (Databricks Assistant, PandasAI, LangChain)
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AI Mini Project + Bonus Hacks
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Interview Level Practical Hands-on
Module 9: Get Hired – Resume, Projects & Interview Domination

Goal: Become Job-Ready and confident for interviews

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Project Storytelling – How to Present Your Work in Interviews
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Resume, LinkedIn & GitHub – Build a Portfolio That Gets You Calls
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How to Explain Your ETL Project
Module 10: SQL Interview Prep – Query Like a Pro

Goal: To give idea about real questions in interview

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Set 1_ SQL Deep Dive – Real-World Scenarios and Interview-Level Tricky Questions
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Set 2_ Advanced SQL – Incremental Loads, Validation, and Troubleshooting
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Set 3_ SQL Mastery – Joins, CTEs, and Window Functions in Action
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Set 4_ SQL Mastery – Joins, CTEs, and Window Functions in Action
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Set 5_ Enterprise SQL – Security, Access Control, and Advanced Architecture
Module 11: Python for Data Engineers – Interview Prep

Goal: To give idea about real questions in interview

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Python Set 1_ Fundamentals + Real-Life Use Cases for Data Engineers
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Python Set 2_ Fundamentals + Real-Life Use Cases for Data Engineers
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Python Set 3_ Fundamentals + Real-Life Use Cases for Data Engineers
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Python Set 4_ Fundamentals + Real-Life Use Cases for Data Engineers
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Python Set 5_ Fundamentals + Real-Life Use Cases for Data Engineers
Module 12: PySpark Mastery – Real Interview Prep Questions

Goal: To give idea about real questions in interview

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PySpark Set 1_ Core Concepts, Transformations, and Practical ETL Scenarios
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PySpark Set 2_ Core Concepts, Transformations, and Practical ETL Scenarios
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PySpark Set 3_ Core Concepts, Transformations, and Practical ETL Scenarios
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PySpark Set 4_ Core Concepts, Transformations, and Practical ETL Scenarios
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PySpark Set 5_ Core Concepts, Transformations, and Practical ETL Scenarios
Module 13: Data Engineering System Design + Scenario-Based Questions

Goal: To give idea about real questions in interview

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Set 1_ Data Engineering Project Thinking, Architecture & Tooling Choices
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Set 2_ Data Engineering Project Thinking, Architecture & Tooling Choices
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Set 3_ Data Engineering Project Thinking, Architecture & Tooling Choices
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Set 4_ Data Engineering Project Thinking, Architecture & Tooling Choices
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Set 5_ Data Engineering Project Thinking, Architecture & Tooling Choices
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AI Enabled Data Engineer in 90 Days

Instructed by Anurag Srivastava
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Easy payment method
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400 Days Access of the Course
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Learn Anytime, Anywhere
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Guaranteed Best Pricing from the Market
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24/7 Instant Email Support
Register Today
Hurry Up! Reserve your seat before June 24, 2025

Testimonial

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I attended Anurag’s job search webinar, and it was more than just a regular session. He shared a smart, job focused strategy—emphasizing that we don’t need to do everything, just do what really matters. He generously gave away free materials, along with a detailed monthly plan—it was like spoon-feeding everything we need. I’m excited to start implementing it. Highly recommend!
M
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Anurag offered an exceptional learning experience. I gained confidence and skills that landed me a great role in the industry.
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Thank you, Anurag Srivastava, for an excellent bootcamp on 'Learn Python from Scratch.' The hands-on approach made learning both practical and enjoyable. I gained real confidence in my Python skills thanks to your clear and engaging teaching style!
V
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Honestly, it felt less like a session and more like a private mentorship. Clear, actionable, and super motivating! The LinkedIn hacks were absolutely brilliant
S
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I'm really loving this bootcamp, sir. your content is always unique and informative. I've enjoyed my previous bootcamps with you, and this one is no exception. You’re definitely doing something different, and it's really paying off, sir🙌🏻
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DIPANJAN SAHA
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It was really a helpful session for me and anurag really motivated me towards my next step as i was stuck at one place since 3 months. If in future i found myself at the place again i would definitely reach out to him for help. Thanks bro.

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Anuvanshika
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Become Data Engineer in Just 90 Days

Ending in
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Register Today
ATTENTION: Everyone who enrolls before June 12, 2025 will get access to a special live session where hidden bonuses will be revealed. Some Bonus is for all, no matter when you join.
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Frequently Asked Questions

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Is this course self-paced?

Yes, 100% self-paced. You can learn anytime, at your convenience, without any deadlines.

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Is this course beginner-friendly?

Yes, it's designed for complete beginners. You’ll learn everything from scratch — no prior experience required.



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What tools and tech will I learn?

You’ll work hands-on with SQL, Python, Pandas, PySpark, Delta Lake, Databricks, PandasAI, and more — all focused on real job work.



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Is there any certification?

Yes, you'll get a certificate of completion. But more importantly, you’ll have job-ready skills and real projects to showcase.



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Will I build real projects?

Yes. You’ll complete end-to-end projects including data cleaning, ETL pipelines, and dashboards — all added to your GitHub portfolio.

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How is this different from other courses?

This is not just video lectures. It’s a practical, structured, interview-focused bootcamp taught by a working Data Engineer.



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 Zero to Job Ready AI-Enabled Data Engineer in
90-Days 

ondemand_video
60+ Hours of video content
stream
13 Modules
star
4.9+ (656+ Rating)
Get my 90-day roadmap on how to build your first data pipeline, which will start bringing you interviews from recruiters and land you highly paid job roles. 
Register Today
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