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Data-Intensive Backend with Apache Kafka Virtual Internship

In this advanced virtual internship, students will develop real-time data pipelines and event-driven microservices using Apache Kafka, Kafka Streams, and ksqlDB. They will learn to build scalable and fault-tolerant distributed systems that can handle large volumes of data in real-time. By the end of the internship, students will have the skills to design and implement complex data-intensive backend applications using Kafka and related technologies.

weeks

7 tasks

0 enrolled

Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Kafka Cluster Setup

Advanced

In this task, students will set up a local Kafka cluster and explore its various components and configurations.

8 hours

Kafka Producer and Consumer

Advanced

In this task, students will develop Kafka producer and consumer applications using various client libraries.

12 hours

Kafka Streams Application

Advanced

In this task, students will develop a Kafka Streams application to perform real-time data processing.

16 hours

ksqlDB for Real-Time Data Processing

Advanced

In this task, students will use ksqlDB to build real-time data processing pipelines.

12 hours

Kafka Ecosystem Exploration

Advanced

In this task, students will explore the Kafka ecosystem and its various components.

12 hours

Kafka Integration with Other Technologies

Advanced

In this task, students will integrate Kafka with other data storage and processing technologies.

16 hours

Capstone Project

Advanced

In this task, students will build a comprehensive data-intensive backend application using Apache Kafka.

40 hours

Prerequisites

• Proficiency in at least one programming language (Python, Node.js, Java, or Go)
• Understanding of distributed systems and message queuing concepts

Certificate

Certificate of Completion

Earn a certificate upon successful completion