Industry-Ready Training with Placement Support

Databricks Data Engineering & AI Master Program

45 Days

100% Placement Assistance

What you’ll learn

Databricks Data Engineering & AI Master Program is designed to help you master modern data engineering, big data processing, and AI workflows using Databricks.

You will learn Apache Spark, Delta Lake, data pipelines, ETL workflows, and real-time analytics. This course provides hands-on experience in building scalable data solutions and working with large datasets in a cloud-based environment.

By the end of this program, you will be ready for roles like Data Engineer, Big Data Engineer, and AI Engineer.

Big Data Fundamentals

Apache Spark (Core, SQL, DataFrames)

Databricks Workspace & Notebooks

Delta Lake Architecture

ETL Pipelines using Spark

Data Transformation Techniques

Streaming Data Processing

Data Warehousing Concepts

Integration with Cloud (AWS/Azure)

Real-Time Data Projects

Course Content

Module 1: Introduction to Big Data

•

Big Data Concepts

•

Hadoop vs Spark

Module 2: Apache Spark Basics

•

RDDs

•

DataFrames

Module 3: Spark SQL

•

Queries

•

Data Processing

Module 4: Databricks Platform

•

Workspace

•

Clusters

Module 5: Notebooks & Jobs

•

Notebook Execution

•

Scheduling Jobs

Module 6: Delta Lake

•

ACID Transactions

•

Time Travel

Module 7: Data Engineering Pipelines

•

ETL Design

•

Data Transformation

Module 8: Streaming Data

•

Spark Streaming

•

Real-Time Processing

Module 9: Data Warehousing

•

Star Schema

•

Fact & Dimension

Module 10: Performance Optimization

•

Partitioning

•

Caching

Module 11: Integration with Cloud

•

AWS S3 / Azure Storage

•

Data Pipelines

Module 12: Security & Governance

•

Access Control

•

Data Security

Module 13: Real-Time Project

•

End-to-End Data Pipeline

Module 14: Interview Preparation

•

Mock Interviews

•

Case Studies

Features

Industry-Focused Curriculum

Covers real-world big data use cases and modern data engineering tools.

Hands-On Practice

Work with Databricks notebooks and real datasets.

Real-Time Projects

Build scalable ETL pipelines and analytics solutions.

Certification Preparation

Prepares for Databricks Certified Data Engineer Associate.

Placement Support

Resume building, mock interviews, and job assistance.

Support & Career

Resume & Portfolio Preparation

Mock Technical Interviews

Project Guidance

Job Assistance

Career Mentorship

Frequently Asked Questions

FAQs will be updated soon.

Interview Questions

What is Databricks?

Databricks is a cloud-based data platform used for big data processing, analytics, and machine learning.

What is Apache Spark?

Apache Spark is a fast, distributed data processing engine used for big data analytics.

What is Delta Lake?

Delta Lake is a storage layer that provides ACID transactions and reliability on data lakes.

What is ETL in Databricks?

ETL involves extracting data, transforming it using Spark, and loading it into storage systems.

What is Spark Streaming?

Spark Streaming is used to process real-time data streams.

Our Alumni Work at

Trained at WHY TAP, placed at leading tech companies – see where our learners are making an impact.

Join the Elite

Become part of our growing alumni community today.

Career Guidance • Enquiry Form

Take the first step toward your IT & digital career!

Your journey to expertise starts here. Fill out the enquiry form and our team will connect you with the right training program to shape your future in the IT industry.

Take the first step toward your IT & digital career!

Click the Apply Now button and fill out the form to get personalized guidance from our team.

Expert Career GuidanceIndustry-Focused CoursesPlacement-Oriented Learning