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Kafka
Real-Time Event Streaming Platform

Master

Apache Kafka 2025

The world's most popular distributed event streaming platform — processing trillions of events per day at Netflix, LinkedIn, Uber & Airbnb. Master Kafka architecture, Streams API, Kafka Connect, Schema Registry, and cloud deployments on AWS MSK and Azure Event Hubs.

Producers & Consumers Kafka Streams Kafka Connect ksqlDB Schema Registry KRaft AWS MSK Confluent Cloud Flink Integration
Enroll Now Brochure
Kafka Topic Architecture
Producer
Order Svc
Payment Svc
User Svc
Topic: order-events
P0 ▓▓▓▓▓▓▓ offset 1400
P1 ▓▓▓▓▓▓ offset 1350
P2 ▓▓▓▓▓▓▓▓ offset 1500
Replication Factor: 3 · Retention: 7d
Consumer Group
Analytics
Notifier
Billing
kafka-topics --create --topic order-events \
  --partitions 3 --replication-factor 3
// 10M+ messages/sec throughput
10M+/sec
Throughput
Per single cluster
32 hrs
Duration
Hands-on training
10
Modules
End-to-end coverage
Cert
Included
Industry recognised
24/7
Support
Expert guidance
Apache Kafka
Confluent Cloud
Kafka Streams
Kafka Connect
ksqlDB
Schema Registry
KRaft Mode
Apache ZooKeeper
AWS MSK
Azure Event Hubs
Google Pub/Sub
Apache Flink
Spark Streaming
Avro
Protobuf
Python
Java
Spring Kafka
Docker
Kubernetes
Prometheus
Grafana
Apache Kafka
Confluent Cloud
Kafka Streams
Kafka Connect
ksqlDB
Schema Registry
KRaft Mode
Apache ZooKeeper
AWS MSK
Azure Event Hubs
Google Pub/Sub
Apache Flink
Spark Streaming
Avro
Protobuf
Python
Java
Spring Kafka
Docker
Kubernetes
Prometheus
Grafana
What You Master

The Complete Kafka Skill Set

From topic architecture to production-grade streaming pipelines — everything in one programme.

Event-Driven Architecture

Design and build fault-tolerant, real-time data pipelines processing millions of events per second. Master topics, partitions, replication, offset management, consumer groups, and exactly-once semantics.

Topics Partitions Consumer Groups Offsets Replication EOS
🌊
Kafka Streams API

Stateless & stateful stream transformations, windowing, aggregations, and joins in real-time.

🔌
Kafka Connect

200+ connectors to ingest from MySQL, Postgres, S3, Elasticsearch, and more with zero code.

☁️
Cloud Deployments

AWS MSK, Azure Event Hubs, Google Pub/Sub, and Confluent Cloud with multi-cluster replication.

AWS MSK Azure EH Confluent
Syllabus

Course Curriculum

10 comprehensive modules covering Kafka from fundamentals to production-grade deployment.

  • What is Apache Kafka?
  • Kafka Architecture Overview
  • Use Cases of Kafka
  • Components: Producers, Consumers, Brokers, Topics, Partitions, Zookeeper
  • Kafka vs. Traditional Messaging Systems
  • Installing Kafka on Windows/Linux/Mac
  • Setting up ZooKeeper and Kafka Brokers
  • Configuring Kafka Properties
  • Running Kafka using CLI Commands
  • Basic CLI Commands: Creating Topics, Producing & Consuming Messages
  • Understanding Producers & Consumers
  • Producer API (Key, Partitioner, Acknowledgment)
  • Consumer API (Polling, Commit Offsets, Consumer Groups)
  • Kafka Serialization & Deserialization (String, JSON, Avro)
  • Consumer Offsets & Auto Commit
  • Topic Creation & Management
  • Partitioning Strategies
  • Replication in Kafka
  • Log Retention & Cleanup Policies
  • High Availability & Fault Tolerance
  • Introduction to Kafka Streams API
  • Stream Processing vs. Batch Processing
  • Stateless & Stateful Transformations
  • Windowing & Aggregations
  • Interactive Queries
  • What is Kafka Connect?
  • Source & Sink Connectors
  • Connecting Kafka with Databases (MySQL, PostgreSQL)
  • Connecting Kafka with Big Data (Hadoop, Spark, Elasticsearch)
  • ksqlDB for stream processing SQL
  • SSL/TLS Encryption
  • SASL Authentication
  • Role-Based Access Control (RBAC)
  • Securing Kafka with ACLs
  • Schema Registry with Avro & Protobuf
  • Monitoring Kafka Clusters (JMX, Prometheus, Grafana)
  • Optimizing Kafka Performance (Batch Size, Compression, Acks)
  • Troubleshooting Kafka Issues
  • Lag monitoring & consumer group health
  • Exactly-Once Semantics (EOS)
  • Rebalancing Strategies
  • Schema Registry & Avro
  • Kafka in Cloud (AWS MSK, Azure Event Hubs, Google Pub/Sub)
  • Multi-Cluster Kafka & Cross-Data Center Replication
  • KRaft — Kafka without ZooKeeper
  • Implementing a Real-Time Data Pipeline
  • Kafka Integration with Spark for Stream Processing
  • Building a Kafka-based Microservices Architecture
  • Data Ingestion using Kafka & Kafka Connect
Career Outcomes

High-Demand Kafka Roles in 2026

Apache Kafka skills are in critical demand as companies shift to event-driven microservices. Kafka engineers command premium salaries across fintech, e-commerce, and data platforms.

₹12–38L
India Avg LPA
$80K–$150K
USA Avg
40K+
Open Roles
#1
Streaming Tech
Data Engineer
Design and maintain real-time data pipelines with Kafka as the backbone
₹12–22 LPA · $80K–$130K USA
Stream Processing Engineer
Build Kafka Streams & Flink applications for real-time analytics and ML pipelines
₹14–28 LPA · $95K–$150K USA
Data Platform Engineer
Own Kafka infrastructure — clusters, monitoring, scaling, and multi-cloud deployments
₹16–32 LPA · $100K–$155K USA
Event-Driven Architect
Design distributed systems and microservices architectures centred on Kafka
₹20–40 LPA · $120K–$175K USA
New Batch Starting Soon — Limited Seats

Ready to Become a Kafka Expert?

Join engineers building the world's most demanding real-time data platforms at top product companies.

Enroll Now Call Us WhatsApp
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