Fresher
Starting from zero?
No data engineering background needed. We start from SQL and Python basics and build up, so you finish with a real project to show in interviews, not just theory.
Start from zeroReal projectInterview-ready
Become a job-ready, AI-integrated data engineer
Live classes taught by working data professionals. Five months of hands-on Azure data engineering with generative AI built in, and a capstone project you can explain in any interview.
Batches capped at 20 · Weekend batches available
SourceAPIs, databases, files
BronzeRaw data lands
SilverCleaned, validated
GoldReady for Power BI
The path every real pipeline follows, and the one you'll build.
100+students trained20per batch5month program11modules
SQLPythonAzure Data FactoryADLS Gen2DatabricksPySparkDelta LakePower BIGitKey VaultUnity CatalogAzure OpenAIGenerative AI
Built for where you are today
Three starting points, one path to the same project.
Working professional
Changing roles or growing in one?
Moving from another IT or BI role? The course follows what Azure Data Engineer job postings ask for, with weekend batches that fit around your work week.
Job-relevant toolsWeekend batchesPortfolio project
Career-gap returner
Coming back after a break?
A recorded revision class follows every module, so nothing is missed or rushed. The step-by-step syllabus rebuilds your skills and your confidence together.
Revision classesLearn at your paceRebuild confidence
What you'll be able to do
- Write production-grade SQL and Python for data pipelines
- Build and orchestrate pipelines in Azure Data Factory
- Process big data at scale with PySpark on Databricks
- Design a lakehouse with Delta Lake and the medallion architecture
- Secure and monitor pipelines like a real production system
- Build Power BI dashboards on your own pipeline output
- Use generative AI to write, review and test pipeline code safely
- Explain a complete end-to-end project in interviews
How you learn
Taught by working data professionals , so you learn what teams use right now.
Live, every sessionInstructor-led, with your questions answered as you go.
Revision class after every modulePurpose-made recordings, not just a replay of the live class.
Labs in every moduleYou build alongside the trainer.
Batches of 20Small enough that nobody gets lost.
Free-tier toolsNo paid licences needed to follow along.
A capstone projectA full pipeline, built and presented like a portfolio piece.
Eleven modules, one connected path
Each module builds on the last, from your first SQL query to a finished pipeline.
of 11 modules
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Introduction to Data EngineeringWhat the role involves and the roadmap ahead.
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SQL & T-SQLFirst query to window functions and data modeling.
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Python for Data EngineeringScripting, files, APIs and pandas.
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Azure Fundamentals & Data Lake StorageCloud basics and a production-ready lake.
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Azure Data FactoryIngestion, triggers and incremental loads.
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PySpark in DatabricksBig data, tuning, Delta Lake, medallion layers.
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Azure DatabricksSpark on the enterprise-ready platform.
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Power BIReports on top of your pipeline's output.
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Production PracticesGit, security, monitoring, data quality.
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AI-Assisted Data EngineeringGenerative AI for code, tests and troubleshooting, used safely.
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Capstone ProjectOne pipeline, built, secured and presented.
Support beyond the classroom
We prepare you for the interview, not just the syllabus.
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Interview preparation
Practice the questions data engineering interviews keep asking.
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Mock interviews
Rehearse with feedback before the real thing.
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Job-portal profile help
Guidance on setting up and polishing your Naukri and LinkedIn profiles.
Mock interviewSample
InterviewerHow would you load only new records from an API into your bronze layer every day?
Your answerTrack a watermark, pull records after it, and write to Delta with MERGE so reruns stay safe.
WatermarkIdempotent MERGEAudit columns
FeedbackStrong on watermarks. Next time, explain how you'd restart a failed run.
What students saySample text
The revision class after each module meant I never fell behind while working full time.
StudentWorking professional
Valued: revision classesBuilding the capstone from scratch gave me something real to talk about in interviews.
StudentFresher
Small batches meant my questions actually got answered.
StudentCareer-gap returner
The labs made every concept click, because I built it alongside the trainer instead of just watching.
StudentFresher
The mock interview showed me exactly where my answers were weak before the real one.
StudentWorking professional
Common questions
Straight answers before you enquire.
Still have a question?
Send us your details and our team will get back to you.
Ask usDo I need prior experience?
No. The course begins with SQL and Python fundamentals, so freshers and career-gap returners can start from the basics.
How long is the program?
Five months, including a capstone project at the end.
Are the classes live?
Yes. Every session is live with an instructor, and you join from wherever you are. Each module also has a recorded revision class you can replay anytime.
I work full time. Can I still join?
Yes. Weekend batches and flexible timings are available, and every module has a recorded revision class so you can catch up at your own pace.
What if I miss a class?
Each module has a dedicated recorded revision class. Use it to catch up, then bring your questions to the next live session.
Do I need to buy any software?
No. The course uses free-tier and free-account tools throughout.
Will I get a job after the course?
We don't promise placement. We prepare you with a project you can explain, interview preparation, mock interviews, and help setting up your Naukri and LinkedIn profiles.
How do I enrol?
Send us your details on the contact page. Our team will get back to you with the syllabus and batch information.
Ready to start?
Share your details and we'll reach out with the syllabus and next batch information.
Enquire now