3-Month Course · Hands-On From Day One

Azure Data Engineering

Name: Azure Data Engineering
Price: 19999 INR
Availability: InStock

Learn it by building it. Ten modules and an end-to-end project you build yourself — from on-premises SQL Server to a Delta Lake Gold layer on Azure Databricks.

100% Placement Assistance

₹19,999 ~~₹24,999~~ Early bird · Save ₹5,000 (20%)

SQL Server Azure Data Factory ADLS Gen2 PySpark Databricks

ADF Pipeline

▶pl_ingest_sales

SQL Server → Bronze

MySQL → Bronze

Notebook: silver

● Succeeded

databricks / silver_to_gold.py

bronze.py

silver_to_gold.py

gold.sql

1# AYRI — Azure Data Engineering · silver_to_gold

3from pyspark.sql import functions as F

5bronze = spark.read.table("bronze.sales")

7silver = (bronze

8 .dropDuplicates(["order_id"])

9 .filter(F.col("amount") > 0))

11gold = silver.groupBy("order_date") \

12 .agg(F.sum("amount").alias("revenue"))

14gold.write.format("delta") \

15 .saveAsTable("gold.daily_sales")

Modules

Topics

Months

Live Project

Lakehouse

Bronze

Silver

Gold

Delta Lake

Scroll to explore

Who This Course Is For

Built for anyone ready to work with data.

Whether you're just starting out or already working in IT, the course takes you from the fundamentals to building real Azure data pipelines.

Start from scratch

Freshers & Graduates

Starting your career? Learn job-ready data engineering skills from the basics — no prior experience needed.

Grow into data

Working IT Professionals

In support, testing, development or BI? Move into cloud data engineering with hands-on Azure skills.

Change your path

Career Switchers

Coming from a different field? We start with SQL and Python fundamentals and build up step by step.

Level up to cloud

SQL & ETL Developers

Already know SQL or on-premises ETL? Upgrade to Azure Data Factory, Databricks and the lakehouse.

No prior experience required — SQL and Python are taught from the basics.

What You'll Build

A real data pipeline. Built by you.

Your end-to-end project follows the same flow real Azure data teams use — taking data from on-premises and cloud sources all the way to a business-ready Gold layer.

Sources

SQL Server · MySQL · Files · APIs

On-premises and cloud data

Ingest

Azure Data Factory

Incremental, parameterised pipelines

Bronze

ADLS Gen2

Raw data landed in the lake

Silver

Databricks · PySpark

Cleaned and validated data

Gold

Delta Lake

Business-ready star schema

By the end of the course, you will have built:

SQL queries, views and stored procedures on a real database

An Azure data lake on ADLS Gen2 with proper access permissions

Dynamic ADF pipelines with full and incremental loads, SCD Type 1 & 2

PySpark transformations and data-cleansing jobs

A Bronze, Silver and Gold lakehouse with Delta tables on Databricks

Secure pipelines with Key Vault, Managed Identity and email alerts

Version-controlled code with Git and Azure Repos

One end-to-end project you can walk an interviewer through

3-Month Roadmap

From SQL basics to a working lakehouse.

Foundations — SQL, data modelling & Azure storage

Write SQL from basics to advanced on a real database, learn how data warehouses and star schemas are designed, then set up Azure and your own data lake.

SQL ServerData Engineering ConceptsAzure FundamentalsAzure Storage & ADLS Gen2

Milestone: your source database and data lake are ready

Month 1

Pipelines — Azure Data Factory, Python & PySpark

Build data pipelines that pull from on-premises and cloud sources, load data fully and incrementally, handle SCD Type 1 & 2, then start transforming data with Python and PySpark.

Azure Data FactoryIntegration RuntimesIncremental loads & SCDPython & PySpark

Milestone: data flows into your Bronze layer automatically

Month 2

Lakehouse, security & your end-to-end project

Build the Bronze, Silver and Gold layers on Databricks with Delta Lake, optimise Spark, secure everything, put it in Git — then finish your project and prepare for interviews.

Azure Databricks & Delta LakeSecurity & IntegrationAzure DevOps & MonitoringProject & Interview Prep

Milestone: a complete, working lakehouse — and interview-ready

Month 3

Curriculum

10 modules. Beginner to advanced.

Tap a module to see every topic it covers. Want the detailed syllabus? Request it on WhatsApp →

01SQL Server

SQL fundamentals — basic to advanced
Joins, subqueries, CTEs and window functions
Views, stored procedures and functions
Data manipulation, transformations and query optimization
Practical SQL exercises and interview scenarios

02Azure Fundamentals

Introduction to cloud computing and Microsoft Azure
Azure Portal, subscriptions and resource groups
Overview of Azure services used in Data Engineering
Azure identity and access management

03Azure Storage Services

Azure Storage Account and Blob Storage
Azure Data Lake Storage Gen2 (ADLS Gen2)
File formats — CSV, JSON, Parquet and Delta
Data storage, read/write operations and data movement
Storage access and permissions

04Azure Data Factory (ADF)

ADF fundamentals — pipelines, activities, datasets and linked services
Azure Integration Runtime and Self-Hosted Integration Runtime
Connecting on-premises and cloud data sources (SQL Server, MySQL, files and APIs)
ETL, ELT, data ingestion and data movement
Parameters, variables, expressions and dynamic pipelines
Mapping Data Flows and transformations
Full load, incremental load and SCD Type 1 & 2
Triggers, scheduling, error handling and pipeline monitoring

05Python and PySpark

Python fundamentals for Data Engineering
PySpark fundamentals — basic to advanced
DataFrame read/write operations, transformations and actions
Joins, aggregations, window functions and data cleansing
Working with multiple file formats

06Azure Databricks

Databricks fundamentals, notebooks and compute
Apache Spark architecture and distributed processing
Spark SQL and PySpark transformations
Delta Lake and Delta tables
Medallion Architecture — Bronze, Silver and Gold
Spark optimization — joins, shuffling, data skew and broadcast joins
Partitioning, Liquid Clustering, OPTIMIZE and VACUUM
Real-world Databricks scenarios and troubleshooting

07Data Engineering Concepts

ETL vs ELT and batch vs streaming processing
Data lake, data warehouse and data modeling fundamentals
Fact and dimension tables; star and snowflake schemas
Incremental loading, CDC and data quality checks

08Azure Security and Integration Services

Managed Identity and Service Principal
App registration and role-based access control (RBAC)
Azure Key Vault and secret management
Azure Logic Apps and workflow automation
Azure Function Apps and REST API integration
Pipeline email notifications

09Azure DevOps and Pipeline Monitoring

Introduction to Git, Azure Repos and version control
Basic CI/CD concepts for ADF and Databricks
ADF and Databricks pipeline monitoring and error handling

10Real-Time Project and Interview Preparation

End-to-end Azure Data Engineering project
Working with multiple on-premises and cloud data sources
ADF ingestion and Databricks transformations
Bronze, Silver and Gold implementation
Pipeline automation and troubleshooting
SQL, ADF, PySpark and Databricks interview preparation

Tools & Technologies

The tools you'll actually use.

Store

SQL Server

Azure Blob Storage

ADLS Gen2

Delta Lake

Ingest

Azure Data Factory

Integration Runtime

Mapping Data Flows

Process

Python

PySpark

Spark SQL

Azure Databricks

Apache Spark

Secure & automate

Azure Key Vault

Managed Identity

Azure Logic Apps

Azure Function Apps

Version & monitor

Git

Azure Repos

Azure DevOps

Pipeline monitoring

Placement

100% Placement Assistance

Every student who completes the course gets placement assistance — from interview preparation to support with job openings and interviews.

Complete the course

Attend the sessions, finish the hands-on work and complete your end-to-end project.

Interview preparation

SQL, ADF, PySpark and Databricks interview questions, real-world scenarios and mock interviews.

Resume & profile

Present your project and skills clearly on your resume and LinkedIn profile.

Placement assistance

We share relevant job openings and support you through your interviews.

Placement assistance is support to help you get hired. We do not promise a specific job, company or salary. Eligibility and full terms are shared in writing before you enroll.

FAQ

Questions, answered.

Who is this course for?

Students, freshers and working professionals who want practical Azure Data Engineering skills. The course runs from beginner to advanced.

Do I need prior experience?

No. SQL starts from the fundamentals and Python is taught from the basics for Data Engineering, so you can start from scratch.

How long is the course?

Three months, covering 10 modules from SQL Server to Azure Databricks, finishing with an end-to-end project and interview preparation.

How much hands-on practice is there?

Practice is built into every module. You work on the tools yourself and apply each topic to your own end-to-end project, from on-premises sources to a Gold layer on Databricks.

What is the fee?

The regular fee is ₹24,999. Early bird seat bookings pay ₹19,999 — a saving of ₹5,000 (20%).

What does 100% Placement Assistance mean?

Every student who completes the course gets placement assistance: interview preparation, mock interviews, resume and profile guidance, and help with relevant job openings. Assistance means support to help you get hired — we do not promise a specific job, company or salary. Full terms are shared in writing before you enroll.

Is a Microsoft certification included?

The course focuses on practical, job-ready skills. Microsoft certification exams are conducted by Microsoft and booked separately. Ask us which exam fits your goals.

What are the batch timings and mode?

Message us on WhatsApp or book a demo and we will share the upcoming batch details.

Azure Data Engineering

Built for anyone ready to work with data.

A real data pipeline. Built by you.

From SQL basics to a working lakehouse.

10 modules. Beginner to advanced.

The tools you'll actually use.

100% Placement Assistance

Book early and pay
₹19,999 ₹24,999

Questions, answered.

Ready to become an
Azure Data Engineer?

Azure Data Engineering

Built for anyone ready to work with data.

A real data pipeline. Built by you.

From SQL basics to a working lakehouse.

10 modules. Beginner to advanced.

The tools you'll actually use.

100% Placement Assistance

Book early and pay₹19,999 ₹24,999

Questions, answered.

Ready to become anAzure Data Engineer?

Book early and pay
₹19,999 ₹24,999

Ready to become an
Azure Data Engineer?