Learn about Apache Kafka's architecture, client APIs, stream processing, and connectors. Build real-time data streaming and event-driven applications while exploring Kafka's ecosystem.
4.6
34 Lessons
3 Breakout Sessions
7h
Updated this week
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Hands-on experience developing applications using Kafka
- Working knowledge of building stream processing applications
- The ability to work with data pipelines
- An understanding of open-source tools in the Kafka ecosystem
Learning Roadmap
1.
Introduction
Introduction
Get familiar with real-time data streaming, Kafka architecture, and client libraries.
2.
Apache Kafka Producer API
Apache Kafka Producer API
Unpack the core of using Kafka's Producer API for efficient and reliable message production.
3.
Apache Kafka Consumer API
Apache Kafka Consumer API
4 Lessons
4 Lessons
Go hands-on with efficiently reading, processing, and managing Kafka messages using the Consumer API.
4.
Kafka Streams
Kafka Streams
9 Lessons
9 Lessons
Apply your skills to develop scalable, real-time, fault-tolerant streaming applications with Kafka Streams.
5.
Kafka Connect
Kafka Connect
5 Lessons
5 Lessons
Dig into Kafka Connect's integration capabilities, source and sink connectors, and data transformations.
6.
Exploring Projects in the Kafka Ecosystem
Exploring Projects in the Kafka Ecosystem
6 Lessons
6 Lessons
Investigate key tools and frameworks enhancing Kafka’s integration, schema management, and data replication.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
Apache Kafka is a distributed streaming platform designed to handle real-time data streaming and processing in a distributed and fault-tolerant manner. This course can be taken by software developers and data engineers wanting to learn Kafka to build data-intensive applications.
You will begin with an introduction to the Kafka architecture, client libraries, and its project ecosystem. Next, you will learn to use the Kafka Client APIs along with key configurations. Then, you will learn to develop stream processing applications using Kafka Streams. You will also explore the Kafka Connect Source and Sink connectors. You will finish by learning to make Kafka-related projects in addition to the core ecosystem.
After completing this course, you will be comfortable with developing data-intensive applications. The course will prove helpful for anyone who wants to learn Kafka using a practical, hands-on approach for building real-time data streaming, event-driven architecture, microservices, and log aggregation.
ABOUT THE AUTHOR
Abhishek Gupta
Abhishek is an experienced Software industry professional with interest in Databases, programming languages and Cloud-native technologies.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
Built for 10x Developers
No Passive Learning
Learn by building with project-based lessons and in-browser code editor
Personalized Roadmaps
The platform adapts to your strengths & skills gaps as you go
Future-proof Your Career
Get hands-on with in-demand skills
AI Code Mentor
Write better code with AI feedback, smart debugging, and "Ask AI"
MAANG+ Interview Prep
AI Mock Interviews simulate every technical loop at top companies
Free Resources
