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Build repeatable pipelines that deliver trustworthy data.
Live, interactive classes with time for every learner's questions and code reviews.
Request this batch A 5–10 learners batch starts once enough learners ask. You confirm and pay only when dates are set.Basic programming and SQL.
Start at the level that matches your experience. Each module links to its course in the catalogue.
Programming basics, tools and guided exercises.
End-to-end implementation, testing and deployment.
Architecture, reliability, security, optimisation and technical decisions.
The core path stays the same; your specialisation adds the language and frameworks for your chosen stack.
A short skills check places you at Foundation, Practitioner or Advanced and, for experienced learners, identifies the gaps worth closing.
Each module ends with a practical task reviewed against clear criteria before you move on.
Your capstone — a repeatable ingestion and transformation pipeline with data-quality checks and orchestration — is reviewed against a role-specific rubric.
Optional 1:1 sessions with Ajay for project reviews, career guidance and unblocking — arranged separately.
Explore mentorshipFinishing the Data Engineer path is planned to include the support below. It opens with the first batch; enrolment pages confirm what is included before you pay.
Issued with a unique ID once your final project passes review. It records what you built, not just attendance.
Certification policyPortfolio and GitHub review, resume feedback, a mock interview and referrals when suitable openings come up. No placement guarantee.
Career mentorshipGuidance on pricing, proposals and your first client project, plus a review of your freelance profile and portfolio.
Build client-style projectsAn invite to the Innovate with Ajay community to meet builders, find co-founders, join hackathons and get feedback on product ideas.
Explore the communityShare your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
Answer business questions with clean data and clear dashboards.
Build governed semantic models and reliable reporting.
Turn raw data into tested, documented models and metrics.
