An intensive, job‑focused program (≈ 8 months) covering Java & Spring microservices, Hadoop, Spark (PySpark), Kafka, Airflow, AWS, Docker & Kubernetes — with hands‑on projects, code reviews, and placement support.
Program Length
~8 Months
Weekend & weekday options
Hands‑on Focus
> 65% Labs
Build real systems
Certifications
Course + Project
Verified by mentors
Career Support
Interview Prep
Resume + Mock rounds
Structured modules with progressive depth — theory, labs, and projects in each block.
Weeks 1–8
Weeks 9–14
Weeks 15–18
Weeks 19–20
Weeks 21–23
Weeks 24–25
Work with the exact tools used in modern data teams.
Data Modeling & Storage
From OLTP → OLAP, partitioning, lifecycle, governance.
Batch + Streaming
Reliable pipelines with Airflow, Kafka and Spark.
Production Engineering
Testing, CI/CD, observability and SRE basics.
Analytics & BI
Query engines, dashboards and data storytelling.
Simple steps to get started. Seats are limited per cohort for better mentor attention.
1. Talk to us
Consultation call to map your goals and timelines.
2. Assessment
Short problem‑solving task to personalise your plan.
3. Enroll
Onboarding + starter kit + mentor introduction.
Fresh graduates, software engineers switching to data engineering, and backend developers who want to build production data platforms.
Capstones include: 1) Real‑time analytics pipeline with Kafka → Spark → S3/Redshift + dashboard, 2) Batch ingestion and transformation on Hadoop/Spark with orchestration via Airflow, 3) Microservices that expose data products via Spring.
Yes — interview prep, resume workshops, mock interviews, and referrals through our partner network in Kerala and beyond.
Comfort with programming fundamentals. Prior exposure to databases or Linux is helpful but not mandatory — we cover the essentials.
Got questions?
Call / WhatsApp us at +91 70342 56363
Join the next cohort in Kochi. Learn by doing with mentor‑guided labs and portfolio‑ready capstones.