8 Oct 2026
Batch1
Active batch · 29 seats availableView batch details →LIVE, TRAINER-LED LEARNING
Azure Data Engineering Training
Become a job-ready Azure data engineer. Build data pipelines with Azure Data Factory, Databricks and Synapse through hands-on labs and live projects in Electronic City, Bangalore.
12 WeeksBeginnerOnline & ClassroomEnglish
- Azure Data Factory pipelines
- Synapse Analytics deep dive
- Databricks with Apache Spark
Questions first?
BUILD YOUR FOUNDATIONS
About Azure Data Engineer
Prepare for the DP-203 Azure Data Engineer exam. Hands-on training with Azure Data Factory, Synapse Analytics, Databricks, and real-world data pipelines.
What you’ll learn
- Azure Data Factory pipelines
- Synapse Analytics deep dive
- Databricks with Apache Spark
- Data Lake architecture design
- DP-203 exam preparation
- Real-world project implementation
Before you start
- Basic knowledge of SQL
- Basic Python knowledge
- No prior Azure or cloud experience required
- A laptop with 8 GB RAM and internet connection
Upcoming online & classroom batches
Can’t find a batch that works for you?
Who should take Azure Data Engineer?
What’s included?
Trainer-led learning
Learn Azure Data Engineer through guided sessions in online & classroom mode.
Hands-on projects
End-to-End ETL Pipeline with Azure Data Factory · Lakehouse Project with Databricks and Delta Lake · Data Warehouse on Azure Synapse Analytics · Real-Time Streaming Pipeline
YOUR LEARNING PATH
Course curriculum
01Azure Fundamentals3 topics
- Azure Portal & SubscriptionsLive Class
- Resource Groups & StorageLive Class
- Azure Networking BasicsLive Class
02Data Engineering on Azure3 topics
- Azure Data FactoryLive Class
- Azure Synapse AnalyticsLive Class
- Azure Databricks & PySparkLive Class
03DP-203 Exam Preparation3 topics
- Mock Tests & Practice ScenariosLive Class
- Exam Strategy & TipsLive Class
- Certification GuidanceLive Class
Need the complete curriculum?
Tools and technologies
Azure Data FactoryAzure DatabricksAzure Synapse AnalyticsAzure Data Lake Storage Gen2Azure SQL DatabaseAzure Blob StorageAzure Event HubsAzure Stream AnalyticsAzure Key VaultAzure DevOpsApache Spark and PySparkDelta LakePythonSQLPower BIGit
PUT IT INTO PRACTICE
Projects you’ll work on
End-to-End ETL Pipeline with Azure Data Factory
Build a data pipeline that ingests data from SQL and files into Azure Data Lake. Transform it with mapping data flows, schedule it with triggers, and add monitoring and alerts for failed runs.
Lakehouse Project with Databricks and Delta Lake
Build a bronze, silver and gold lakehouse using PySpark and Delta Lake on Azure Databricks. Clean and transform large datasets, then optimize performance with partitioning and caching.
Data Warehouse on Azure Synapse Analytics
Design a star-schema data warehouse in Synapse and load it from the data lake. Write optimized SQL, build reports in Power BI and apply role-based access and security.
Real-Time Streaming Pipeline
Stream live data with Azure Event Hubs, process it with Stream Analytics or Spark Structured Streaming, and store it for live dashboards. Automate deployment with Azure DevOps.
A SIMPLE START
How to join
- 01
Tell us about your goals
Send an enquiry or application so we can understand your interests.
- 02
Discuss the course and schedule
Review the curriculum, prerequisites, learning format, and fees with our team.
- 03
Confirm your batch
Choose a suitable batch and complete enrolment with our admissions team.
PLAN YOUR NEXT STEP
Course fees
Contact us for fees
Get the current fees, available batches, and enrolment details from our team.
LEARNER EXPERIENCES
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YOUR QUESTIONS, ANSWERED
Frequently asked questions
What will I learn in the Azure Data Engineering course?
You will learn to build data pipelines on Azure using Data Factory, Databricks, Synapse, Data Lake and Spark. The course covers ETL, data modelling, streaming, security and monitoring, with hands-on labs and live projects.
Is this course suitable for beginners with no cloud experience?
Yes. Basic SQL is enough to start, and we cover Python, Azure fundamentals and Spark during the course.
Which Azure tools will I work with?
You will work with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage, Event Hubs, Stream Analytics, Key Vault and Azure DevOps, plus PySpark, Delta Lake and Power BI.
What projects will I build in this course?
You will build four projects: an ETL pipeline with Data Factory, a Databricks lakehouse, a Synapse data warehouse and a real-time streaming pipeline. You can add them to your portfolio and GitHub.
What job roles can I apply for after this course?
You can apply for roles such as Azure Data Engineer, Data Engineer, ETL Developer, Big Data Engineer and Cloud Data Analyst. We help with resume building, mock interviews and placement assistance.
FAQs
Why Choose Us ?
Free Demo Class
Test the waters before you take a deep dive into our training with a free demo class.
Free Career counselling
Discuss your goals with our team and get guidance on choosing a course and career path.
Deep dive theory
Build a strong foundation with in-depth explanations of core concepts.
Practice it live
Apply what you learn through live exercises and practical assignments.
Tests and Certification
Put your learning to the test through assessments and work towards course completion certification.
Resume Preparation
Get guidance on presenting your skills, projects, and experience in your resume.
Mock Interviews
Practise interview questions and receive feedback to improve your confidence.
100% Job Assistance
Receive support with job preparation and opportunities. Job assistance does not guarantee employment.