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Apache Kafka Training

Master Apache Kafka 3.x for real-time data streaming and build high-throughput data pipelines. Get hands-on with producers, consumers, and Kafka Connect.

2 Months🏫 Classroom📈 Intermediate35,00030,000

Course Overview

Alright, so you're looking into Apache Kafka, huh? Smart move. This isn't just another technology; it's the backbone for real-time data processing at a massive scale. If you want to work with real-time analytics, IoT data, or just build seriously fast data pipelines, you need to know Kafka inside out. In this course, our expert trainer will personally walk you through everything, starting from the absolute basics up to deploying and monitoring Kafka clusters. We're talking serious hands-on here. You won't just hear about producers and consumers; you'll build them, test them, and break them – then fix them! You'll tackle over 10 practical labs and a big capstone project, ensuring you're ready for the real world. By week 3, you'll be comfortable with Kafka Connect and even dipping your toes into Kafka Streams. Ready to build something that truly scales? After this, you'll be highly sought after. Companies like TCS and Wipro in Gachibowli are constantly hiring Kafka specialists. We run regular weekend batches at our Dilsukhnagar and Ameerpet centers, with the next one kicking off on the next available batch — enquire for the date. Come on in, let's get you certified!

What You Will Learn

  • Learn Apache Kafka 3.x fundamentals and advanced concepts
  • Gain practical experience with over 10 hands-on labs and a capstone project
  • Master Kafka Producers, Consumers, Connect, and Streams API
  • Understand Kafka security, monitoring with Prometheus & Grafana
  • Prepare for Confluent Certified Developer for Apache Kafka (CCDAK)
  • Build real-time data pipelines for various use cases
  • Get personalized mentorship from experienced industry trainers

Tools & Technologies

Apache Kafka 3.xApache Zookeeper 3.xConfluent Platform (Open Source)Java 17+Python 3.x (Optional)Maven/GradleDocker/Docker ComposeGitIntelliJ IDEA / VS Code

Syllabus

11. Kafka Fundamentals & Architecture+
  • Introduction to Distributed Systems & Event Streaming
  • Kafka Core Concepts: Topics, Partitions, Brokers, Replicas
  • Understanding Zookeeper's Role in Kafka
  • Setting up Kafka 3.x on Linux/Docker
  • Kafka Command-Line Interface (CLI) Utilities
22. Kafka Producers: Sending Data+
  • Producer API Overview and Configuration
  • Asynchronous vs. Synchronous Message Sending
  • Message Keys, Partitioning Strategies, Custom Partitioners
  • Serialization and Deserialization with Avro and Schema Registry
  • Idempotent Producers and Transactions
33. Kafka Consumers: Receiving Data+
  • Consumer API Overview and Configuration
  • Consumer Groups and Load Balancing
  • Offset Management: Auto vs. Manual Commits
  • Handling Failed Records and Consumer Retries
  • Consumer Group Rebalancing and Strategies
44. Kafka Connect: Data Integration+
  • Kafka Connect Architecture and Concepts
  • Deploying and Managing Connectors (Standalone & Distributed)
  • Source Connectors (e.g., JDBC Source, FileStream Source)
  • Sink Connectors (e.g., JDBC Sink, Elasticsearch Sink)
  • Single Message Transforms (SMTs) for data manipulation
55. Kafka Streams API: Stream Processing+
  • Introduction to Kafka Streams Concepts (KStream, KTable)
  • Stateful vs. Stateless Operations: Filtering, Mapping, Aggregations
  • Windowing Strategies: Tumbling, Hopping, Session Windows
  • Joins: Stream-Stream, Stream-Table, Table-Table Joins
  • Building a Real-time Streaming Application
66. Advanced Kafka Topics & Operations+
  • Kafka Security: SSL/TLS Encryption, SASL Authentication
  • Monitoring Kafka Clusters with JMX and Prometheus
  • Kafka Cluster Management and Best Practices
  • MirrorMaker for Cross-Cluster Replication
  • Kafka Admin Client API
77. Real-world Projects & Certification Prep+
  • Project 1: Build an IoT Data Ingestion Pipeline
  • Project 2: Real-time Log Aggregation with Kafka Streams
  • Project 3: Database Change Data Capture (CDC) with Debezium
  • Project 4: Real-time Fraud Detection System
  • Confluent Certified Developer for Apache Kafka (CCDAK) Exam Objectives

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