Interview-based admission. Enrollment only after selection. Understand the process
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TWO WAYS TO LEARN

Your pace.
Your level of guidance.

Study the content independently or learn with mentorship guidance. Both options build towards engineering skills, project work and career preparation.

Explore the curriculumHow admission works
15–20 projectsSelf-paced or mentoredCareer preparation & application support
SQL / PYTHON / PYSPARKPROJECTS / AI / MENTORSHIPINTERVIEWS / YOUR NEXT ROLE
Explore the connections with your cursorLearn. Build. Explain. Get ready for the role.
Flexible LearningInteractive LearningPeer CollaborationExpert MentorshipCapstone Projects
ENGINEERING SKILLS. GUIDED PROJECTS. LEARNING AND CAREER SUPPORT.View the curriculum
Learning formats

Choose how you will
work through the learning.

Learning format and fresher/experienced starting point are discussed during admissions.

01 / SELF-PACED

Content you can study
at your own pace.

We provide the learning content so you can study independently, practise the skills and work through project requirements. Your progress leads towards interview and career preparation.

Explore self-paced learning
02 / MENTORSHIP

Guidance through
every difficult step.

Learn with mentorship guidance. In the one-to-one plan, your mentor works with you through live projects, coding problems and the reasoning behind each decision.

Explore one-to-one mentorship
Your starting point

Start from your current level.

Both programs require passing the admission interview.

FRESHER PROGRAM

Build a strong base.

For people starting their careers. Learn the fundamentals, practise coding and complete projects before interview and career preparation.

  • SQL, Python, PySpark and data engineering fundamentals
  • 15–20 projects and project documentation
  • Resume creation, Naukri and LinkedIn optimization
  • Applications handled through Naukri and company career portals
₹5,50,000 excluding GST
View fees
EXPERIENCED PROGRAM

Build your domain switch.

For working professionals moving into Data Engineering. Address skill gaps and strengthen practical project and interview readiness.

  • Skill-gap training based on your current understanding
  • 15–20 projects with coding and technical discussions
  • Resume and profiles built around your career transition
  • Applications handled through Naukri and company career portals
₹4,00,000 excluding GST
View fees
A practical progression

From foundations
to a complete data platform.

01 / PROGRAMMING

SQL, Python and working habits

Query relational data, write reusable Python, handle files/APIs and use Git and Linux to manage your work.

02 / PROCESSING

PySpark and data modeling

Transform large datasets, model dimensions/facts, handle schema changes and build understandable analytical tables.

03 / CLOUD

AWS and Azure

Connect storage, ingestion, processing and analytics services. Understand why a service fits a requirement, not only its name.

04 / PIPELINES

Batch, streaming and orchestration

Work with Airflow, Kafka, warehouse/lakehouse concepts, incremental loads, retries and data-quality checks.

05 / PRACTICE

15–20 domain projects

Apply the learning to healthcare, retail, finance, logistics and other scenarios; document architecture and validate outputs.

06 / CAREER

Interviews and application readiness

Explain your own work, build profiles with our team and move towards suitable job opportunities.

Read the detailed curriculum
Illustrative photograph of a mentor and learner reviewing technical work
Learn through the work

Need personal guidance?
Choose one-to-one mentorship.

Your mentor takes you through a live project step by step. Ask questions, work through errors and understand the code you are building.

Explore one-to-one mentorship
Selected through an interview

Your next role starts
with your readiness to learn.

We assess your capability and learning intent before offering enrollment.

Apply for the admission interview