Overview
A 3-month, in-person program for those making the move into data engineering. You’ll build real-time pipelines with Kafka and Flink, manage the infrastructure that runs them, and leave with a certification and a project you built yourself.
Delivery: Sat + Sun (2-3 hrs/day) & Tue + Thu (30-60 mins/day) for reinforcement, doubt-clearing & code review
Curriculum
Module-by-module breakdown
A tentative outline — exact pacing may adjust per cohort.
1
Foundations of Data Infrastructure
- Data engineering fundamentals & architecture patterns
- Linux, networking, and shell fundamentals
- Introduction to distributed systems concepts
- Terraform & Kubernetes basics for managing clusters
2
Real-Time Streaming with Apache Kafka
- Kafka architecture: topics, partitions, brokers
- Producers, consumers, and consumer groups
- Kafka Connect for data integration
- CCDAK certification prep
3
Stream Processing with Apache Flink
- Flink SQL fundamentals
- Building real-time streaming pipelines
- Stateful stream processing
4
Capstone Project & Certification
- End-to-end real-time pipeline project
- CCDAK certification exam
- Code review & mentor feedback
Audience Fit
- Career transition route
- Prior customer-facing/professional experience preferred
- Moving into data engineering
Pre-requisites
- SQL & database concepts
- Programming (Python / Java / Scala) preferred
- Exposure to enterprise data domains or ETL technologies is a big plus
Success Criteria
- Earn the CCDAK (Confluent Certified Developer for Apache Kafka) certification
- Write real-time stream processing pipelines
Employment Pathway
- Fast-track into Platformatory
- Startups
- India GCCs
₹36,000 · Limited seats
Ready to get started?
Talk to a coordinator about seats, scholarships, and the next cohort for Real-Time Data Bootcamp.
Talk to a Coordinator