Apache Kafka

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24 hours of Instructor-led training classes.

Immersive hands-on learning on Apache Kafka.

Acquire knowledge of Kafka Ecosystem and its components.

Master Kafka cluster and its integration with Big Data Frameworks like Hadoop.

Use cases on Content messaging queue, Kafka Stream API, Analytical pipeline.

Download Syllabus


Kafka is a durable, scalable, and reliable messaging system which has integration with Hadoop and Spark. Big Data analytics has proven to provide significant business benefits and more organizations are seeking to hire professionals who can extract crucial information from structured and unstructured data. Hadoop for many years was the undisputed leader in data analytics but a technology that has now proven itself to be faster and more efficient is Apache Kafka. Developed in the labs of LinkedIn, it is written in Java and Scala and is fast, scalable and distributed by design. As more and more organizations are reaping the benefits of data analysis through Kafka, there is a huge demand for Kafka experts. And hence this is the right time to enrol for this course.

What you will learn

  • Multi Broker Kafka Implementation
  • Multi Node Cluster Setup
  • Kafka Streaming
  • Flume with Kafka Integration
  • Kafka API
  • PyKafka
  • Kafka Throughput
  • Scalability
  • Durability & Fault-tolerance
  • Kafka Depployment in Real-time


Kafka course can enable organizations and professionals to process huge volumes of data and leverage the benefits of Big Data Analytics efficiently. Over 30% of today’s Fortune 500 companies, like LinkedIn, Yahoo, Netflix, Twitter, PayPal, Airbnb, etc. use Apache Kafka.

Individual Benefits

  • Apache Kafka helps you to develop your own applications with ease
  • Get equipped to process large-scale data and kick-start a career in real-time analytics
  • Kafka helps you to get into multiple industries which include business services, retail, finance, manufacturing, etc.
  • Enables you to work in profiles like Kafka Developer, Kafka Testing Professional, Kafka Project Managers, and Big Data Architect in Kafka

According to PayScale, a Kafka professional can earn an average of $140,642 p.a. The salary range varies based on the experience, skills, and designation of an individual.

Organizational Benefits

  • It helps organizations to handle large volumes of data
  • Enables transparent and seamless message handling while avoiding downtime
  • Allows organizations to integrate with a variety of consumers
  • Implementation of Kafka helps to handle real-time data pipeline

Course Content

Introduction to Big Data Play
Big Data Analytics Play
Need for Kafka Play
What is Kafka? Play
Kafka Features Play
Kafka Concepts Play
Kafka Architecture Play
Kafka Components Play
ZooKeeper Play
Where is Kafka Used? Play
Kafka Installation Play
Kafka Cluster Play
Types of Kafka Clusters Play
Configuring Single Node Single Broker Cluster Play
Configuring Single Node Multi Broker Cluster Play
Constructing a Kafka Producer Play
Sending a Message to Kafka Play
Producing Keyed and Non-Keyed Messages Play
Sending a Message Synchronously & Asynchronously Play
Configuring Producers Play
Serializers Play
Serializing Using Apache Avro Play
Partitions Play
Consumers and Consumer Groups Play
Standalone Consumer Play
Consumer Groups and Partition Rebalance Play
Creating a Kafka Consumer Play
Subscribing to Topics Play
The Poll Loop Play
Configuring Consumers Play
Commits and Offsets Play
Rebalance Listeners Play
Consuming Records with Specific Offsets Play
Deserializers Play
Cluster Membership Play
The Controller Play
Replication Play
Request Processing Play
Physical Storage Play
Reliability Play
Broker Configuration Play
Using Producers in a Reliable System Play
Using Consumers in a Reliable System Play
Validating System Reliability Play
Performance Tuning in Kafka Play
Use Cases - Cross-Cluster Mirroring Play
Multi-Cluster Architectures Play
Apache Kafka’s MirrorMaker Play
Other Cross-Cluster Mirroring Solutions Play
Topic Operations Play
Consumer Groups Play
Dynamic Configuration Changes Play
Partition Management Play
Consuming and Producing Play
Unsafe Operations Play
Considerations When Building Data Pipelines Play
Metric Basics Play
Kafka Broker Metrics Play
Client Monitoring Play
Lag Monitoring Play
End-to-End Monitoring Play
Kafka Connect Play
When to Use Kafka Connect? Play
Kafka Connect Properties Play
Stream Processing Play
Stream-Processing Concepts Play
Kafka Streams by Example Play
Stream-Processing Design Patterns Play
Kafka Streams: Architecture Overview Play
Apache Hadoop Basics Play
Hadoop Configuration Play
Kafka Integration with Hadoop Play
Apache Storm Basics Play
Configuration of Storm Play
Integration of Kafka with Storm Play
Apache Spark Basics Play
Spark Configuration Play
Kafka Integration with Spark Play
Flume Basics Play
Integration of Kafka with Flume Play
Cassandra Basics such as and KeySpace and Table Creation Play
Integration of Kafka with Cassandra Play
Talend Basics Play
Integration of Kafka with Talend Play

Course Details

Apache Kafka training will take you through the architectural design of Kafka that enables it to process large strings of data in real-time. Kafka stores, processes, and publishes streams of data records seamlessly as they occur and in a durable manner. The speed and performance of Kafka can be attributed to the fact that it runs as a cluster on multiple servers, enabling it to span across several data centers.

IT professionals can use Kafka certification to dive into the intrinsic architecture of Apache Kafka. Moreover, it helps to understand Kafka API streams, learn how it is developed on Java, and eventually develop cutting-edge big data solutions using Kafka.

Who should go for this course?

  • Data scientists
  • ETL developers
  • Data analysts
  • BI Analysts & Developers
  • SAS Developers
  • Big Data Professionals
  • Big Data Architects
  • Project Managers
  • Research professionals
  • Analytics professionals
  • Professionals aspiring for a career in Big Data
  • Messaging and Queuing System professionals


It is not mandatory for you to have a prior knowledge of Kafka to take up Apache Kafka training. However, as a participant you are expected to know the core concepts of Java or Python to attend this course.

Course Info.

24+ Hours
2-3 Hours/week
CCDAK (Confluent Certified Developer for Apache Kafka)
Video Script

Training Options

Selfpaced Training

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 3 simulation test papers for self-assessment
  • Lab access to practice live during sessions
  • 24x7 learner assistance and support

Live Virtual Classes

  • Online Classroom Flexi-Pass
  • Lifetime access 
  • Practice lab and projects with integrated Azure labs
  • Access to Microsoft official content aligned to examination

One on One Training

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Exam & Certification

  • Exam Cost $150
  • 60 multiple choice questions in 90 minutes
  • No negative scoring 
  • Remotely proctored on your computer
  • Available globally in English
  • There is no mention of number of questions need to be correct in order to pass the exam. Result will be shown immediately (PASS or FAIL) at the end of exam. No scoring or percentage is provided.
Apache Kafka


Apache Kafka is one of the most popular publish subscribe messaging systems which is used to build real-time streaming data pipelines that are robust, reliable, fault tolerant & distributed across a cluster of nodes. Kafka supports a variety of use-cases which commonly include Website activity tracking, messaging, log aggregation, Commit log & stream processing. These are reasons why many giants such as Airbnb, PayPal, Oracle, Netflix, Mozilla, Uber, Cisco, Coursera, Spotify, Twitter, Tumblr are looking for professionals with Kafka skills. Getting Kafka certified will help you land your dream job.

To master Apache Kafka, you need to learn all the concepts related to Apache Kafka – Kafka Architecture, Kafka Producer & Consumer, Configuring Kafka Cluster, Kafka Monitoring, Kafka Connect & Kafka Streams. Knowledge of Kafka integration with other Big Data tools such as Hadoop, Flume, Talend, Cassandra, Storm and Spark will be a plus point.

There are a lot of job opportunities for Apache Kafka professionals as it is adopted by both SME & big giants. The average salary of a Software Engineer with Kafka skills is $110,209 whereas a Senior Software Engineer and a Lead Software Engineer can expect average salaries of $131,151 and $134,369 respectively.