This course provides a comprehensive and practical understanding of Apache Kafka for building scalable, reliable, and high-performance event-driven applications. It is ideal for backend developers, data engineers, microservices engineers, DevOps professionals, and students preparing for distributed systems development.
Last updated: February 15, 2026
A hands-on deep dive into event streaming, messaging fundamentals, Kafka architecture, producers, consumers, topics, partitions, replication, streaming pipelines, and real-world enterprise use cases.
Master Kafka architecture, build scalable producers and consumers, design event-driven systems, manage clusters, integrate with microservices, ensure reliability, and deploy Kafka in real environments.
Java Developers, Microservices Engineers, Data Engineers, DevOps Engineers, Cloud Engineers, and Students aspiring to work with distributed event-driven platforms.
Good understanding of Core Java and basic knowledge of distributed systems or microservices concepts is recommended.
Live virtual classes with demonstrations, hands-on labs, and interactive discussions.
Instructor-led classroom training with guided practice and real-time mentoring.
Understand why Kafka exists and how event streaming solves modern system challenges.
What is Event Streaming?
Messaging vs Streaming
Kafka Use Cases
Installing and Running Kafka
Explore Kafka’s internal components and distributed design.
Brokers and Clusters
Topics and Partitions
Replication and Fault Tolerance
ZooKeeper / KRaft Overview
Build reliable message producers and consumers.
Producer Basics
Consumer Basics
Consumer Groups & Rebalancing
Message Delivery Guarantees
Understand how Kafka manages and stores data efficiently.
Log Storage Internals
Offsets & Retention Policies
Compaction
Serialization (JSON, Avro, Protobuf)
Design real-time event processing solutions.
Event-Driven Microservices
Request Reply vs Event Models
Transactional Messaging
Patterns and Best Practices
Process streaming data in real time.
Kafka Streams Basics
Stateless & Stateful Processing
Windows & Aggregations
KSQL Overview
Integrate Kafka with external systems.
Kafka Connect Basics
Source & Sink Connectors
DB & Storage Integration
Enterprise Integration Scenarios
Manage and maintain Kafka clusters.
Cluster Setup & Configuration
Monitoring Kafka
Scaling Kafka
Backup & Recovery Basics
Secure Kafka deployments and optimize performance.
Authentication & Authorization
Encryption
Throughput Optimization
Troubleshooting & Tuning
Build a complete event streaming project using Kafka.
Problem Design
Architecture Definition
Implementation
Testing & Review