What will you learn in Apache Kafka Certification Training Course
Grasp Apache Kafka’s core architecture: brokers, topics, partitions, and replication
Develop Kafka producers and consumers using Java/Python clients
Implement real-time stream processing with Kafka Streams and ksqlDB
Configure and manage Kafka Connect for integrating external systems
Secure and monitor Kafka clusters with ACLs, SSL, JMX, and metrics
Tune performance and scale clusters for high-throughput, low-latency streaming
Program Overview
Module 1: Introduction to Kafka & Cluster Setup
⏳ 1 week
Topics: Event streaming vs. messaging, Kafka ecosystem, Zookeeper vs. KRaft
Hands-on: Install Kafka, configure a multi-broker cluster, and create topics
Module 2: Developing Producers & Consumers
⏳ 1 week
Topics: Producer/consumer APIs, serializers/deserializers, consumer groups, offsets
Hands-on: Build a Java producer to publish events and a Python consumer to process them
Module 3: Kafka Streams Fundamentals
⏳ 1 week
Topics: Stream processing topologies, KStream vs. KTable, stateful vs. stateless ops
Hands-on: Implement a simple stream transformation and windowed aggregation
Module 4: ksqlDB & Interactive SQL on Streams
⏳ 1 week
Topics: ksqlDB architecture, defining streams/tables, pull vs. push queries
Hands-on: Create persistent queries to filter, enrich, and join topic data
Module 5: Kafka Connect & Connector Management
⏳ 1 week
Topics: Source vs. sink connectors, single message transforms, offset management
Hands-on: Configure JDBC source and Elasticsearch sink connectors with transformations
Module 6: Security, Monitoring & Operations
⏳ 1 week
Topics: SSL/TLS, SASL authentication, ACLs, JMX metrics, Prometheus/Grafana integration
Hands-on: Secure client connections and set up a Grafana dashboard for key metrics
Module 7: Performance Tuning & Cluster Scaling
⏳ 1 week
Topics: Partitioning strategies, replication factors, throughput tuning, rebalancing
Hands-on: Benchmark producer/consumer performance and optimize broker configs
Module 8: Capstone Project
⏳ 1 week
Topics: End-to-end event pipeline design, fault tolerance, disaster recovery
Hands-on: Build a complete real-time analytics pipeline ingesting, processing, and persisting streaming data
Get certificate
Job Outlook
Kafka skills are in high demand for roles like Streaming Engineer, Data Engineer, and Site Reliability Engineer
Widely adopted in fintech, e-commerce, IoT, and social media for mission-critical real-time data
Salaries typically range from $100,000 to $160,000+ depending on region and expertise
Mastery of Kafka ecosystem tools (Streams, Connect, ksqlDB) opens opportunities in modern data-driven architectures
Specification: Apache Kafka Certification Training Course
|
