Apache Kafka Certification Training

17,506 Learners

Apache Kafka Certification Course Overview

In this Apache Kafka certification training, you will learn to master architecture, installation, configuration, and interfaces of Kafka open-source messaging. With this Kafka course, you will learn the basics of Apache ZooKeeper as a centralized service and develop the skills to deploy Kafka for real-time messaging.

Kafka Training Key Features

Life time access to self paced content

Includes 1 industry-based case study

Life time access to self paced content

Includes 1 industry-based case study

Life time access to self paced content

Includes 1 industry-based case study

Skills Covered

Fundamental concepts of Kafka

Install and configure Kafka

Apache ZooKeeper

Kafka architecture

Kafka interfaces

Kafka for realtime messaging

Fundamental concepts of Kafka

Kafka architecture

Install and configure Kafka

Kafka interfaces

Apache ZooKeeper

Kafka for realtime messaging

Fundamental concepts of Kafka

Kafka architecture

Install and configure Kafka

Kafka interfaces

Apache ZooKeeper

Kafka for realtime messaging

Take the first step to your goals

Lifetime access to self-paced e learning content

Training Options

Self Paced Learning

Lifetime access to high-quality self-paced e-learning content curated by industry experts
24x7 learner assistance and support

$899

Kafka Course Curriculum

Eligibility

Professionals aspiring for a career in Big Data can take up this Apache Kafka certification training. It is also suited for analytics professionals, researchers, IT developers, testers, project managers, and individuals looking for a change in career.

Pre-requisites

Learners need to possess an undergraduate degree or a high school diploma. D133Prior knowledge of any messaging system, Java or any other programming language, and Linux or Unix-based systems.

Course Content

Section 01 - Introduction to Apache Kafka
Preview
- Lesson 01 - Course Introduction
  07:16Preview
  - Course Introduction
    07:16
- Lesson 02 - Big Data Overview
  03:07Preview
  - Big Data Overview
    03:07
- Lesson 03 - Big Data Analytics
  02:55Preview
  - Big Data Analytics
    02:55
- Lesson 04 - Messaging System
  05:48
  - Messaging System
    05:48
- Lesson 05 - Kafka Overview
  08:33Preview
  - Introduction and Features of Kafka
    04:26
  - Kafka Usercases
    04:07
- Lesson 06 - Kafka Components and Architecture
  09:16
  - Kafka Terminologies
    01:13
  - Kafka Components
    07:10
  - Kafka Architecture
    00:53
- Lesson 07 - Kafka Clusters
  01:27
  - Kafka Clusters
    01:27
- Lesson 08 - Kafka Industry Usecases
  02:27
  - Kafka Industry Usecases
    02:27
- Lesson 09 - Demo: Install Kafka and Zookeeper
  04:58
  - DEMO: Install zookeeper
    03:17
  - Demo: Install Kafka
    01:41
- Lesson 10 - Demo: Single Node Single-Multi Broker Cluster
  05:38Preview
  - DEMO: Setup A Single Node Single Broker Cluster
    02:39
  - DEMO: Setup A multi Node Single Broker Cluster
    02:59
- Lesson 11 - Key Takeaways
  00:15
  - Key Takeaways
    00:15

Section 02 - Kafka Producer
Preview
- Lesson 01 - Overview of Producer and Its Architecture
  04:51Preview
  - Learning Objectives
    04:51
- Lesson 02 - Kafka Producer Configuration
  14:33Preview
  - Kafka Producer Configuration
    02:27
  - Kafka Producer Optional Configuration
    02:49
  - Kafka Producer Configuration Objects
    06:59
  - Demo: Create a Kafka Producer
    02:18
- Lesson 03 - Send Messages
  04:50
  - Sending Messages
    04:50
- Lesson 04 - Serializers
  13:51
  - Serializers and Custom Serializers
    02:57
  - Demo: Creating a Custom Serializer
    03:59
  - Serializers Challenges and Serializing using Apache Avro
    04:22
  - Demo: Serializing Using Apache Avro
    02:33
- Lesson 05 - Partitions
  08:50
  - Partitions
    04:38
  - Demo: Setup Custom Partition
    04:12
- Lesson 06 - Key Takeaways
  00:17
  - Key Takeaways
    00:17

Section 03 - Kafka Consumer
Preview
- Lesson 01 - Kafka Consumer - Overview, Consumer Groups and Partitioners
  12:27Preview
  - Overview of Kafka Consumers
    02:58
  - Consumer Groups
    05:05
  - Partition Rebalance and Creating a Consumer
    04:24
- Lesson 02 - Poll Loop
  02:42Preview
  - Poll loop and it's functioning
    02:42
- Lesson 03 - Configuring Consumer
  12:26Preview
  - 1.Kafka Consumer Configuration- Part One
    04:35
  - Kafka Consumer Configuration- Part Two
    05:09
  - Demo: Create Kafka Consumer
    02:42
- Lesson 04 - Commit and Offset
  13:59Preview
  - Commit and Offset
    04:23
  - Ways of Committing Offset - Automatic Offset
    02:16
  - Ways of Commiting Offset - Commit Current Offset
    01:34
  - Ways of Commiting Offset - Asynchronous Commit
    02:15
  - Ways of Commiting Offset - Combining Synchronous and Asynchronous Commits
    02:18
  - Ways of Commiting Offset - Commit Specified Offset
    01:13
- Lesson 05 - Rebalance Listeners
  01:45
  - Rebalance Listeners
    01:45
- Lesson 06 - Consuming Records with Specific Offset
  04:13
  - Consuming Records with Specific Offset
    04:13
- Lesson 07 - Deserializers
  05:32
  - Deserializers
    03:18
  - Demo: Create and Use Custom Deserializer
    02:14
- Lesson 08 - Key Takeaways
  00:30
  - Key Takeaways
    00:30

Section 04 - Kafka Operations and Performance Tuning
Preview
- Lesson 01 - Learning Objectives
  04:46Preview
  - Learning Objectives
    04:46
- Lesson 02 - Replications
  14:53Preview
  - Replication and Replica Types
    04:19
  - Preffered Ladder, Request and Request Processing
    04:24
  - Types of Requests
    06:10
- Lesson 04 - Storage
  09:59Preview
  - Partition Allocation, File Management and Segments
    05:21
  - File Format, Index and Compaction
    04:38
- Lesson 05 - Configuration in Reliable System
  18:18Preview
  - Kafka Reliability and Reliablity Methods
    01:34
  - Broker Configuration for Replication One
    04:41
  - Producer in Reliable System
    04:37
  - Consumer in Reliable System
    07:26
- Lesson 05 - Key Takeaways
  00:28
  - Key Takeaways
    00:28

Section 05 - Kafka Cluster Architecture and Administering Kafka
Preview
- Lesson 01 - Learning Objectives
  05:22Preview
  - Learning Objectives
    05:22
- Lesson 02 - Multi Cluster Architecture
  08:45Preview
  - Hub and Spokes Architecture and Active Active Architecture
    05:37
  - Active-Standby Architecture and Stretch Clusters
    03:08
- Lesson 03 - MirrorMaker
  17:41Preview
  - MirrorMaker Configuration
    04:27
  - MirrorMaker Deployment and Tuning
    06:33
  - Demo: Setting up MirrorMaker
    06:41
- Lesson 04 - Administering Kafka
  09:50Preview
  - Administering Kafka - Topic Operations
    05:50
  - Administering Kafka - Consumer Group Operations
    04:00
- Lesson 05 - Dynamic Configuration Changes
  09:20
  - Dynamic Configuration Changes
    06:52
  - Partition Management
    02:28
- Lesson 06 - Console Producer Tool
  01:27
  - Console Producer Tool
    01:27
- Lesson 07 - Console Consumer Tool
  02:36
  - Console Consumer Tool
    02:36
- Lesson 08 - Key Takeaways
  00:25
  - Key Takeaways
    00:25

Section 06 - Kafka Monitoring and Schema Registry
Preview
- Lesson 01 - Monitoring
  47:23Preview
  - Learning Objectives
    02:17
  - Server or Infrastructure Monitoring and Application Monitoring
    02:15
  - Kafka Monitoring
    03:16
  - Kafka Broker Metrics - Under Replicated Partitions
    06:25
  - Kafka Broker Metrics - Others
    06:42
  - Topic and Partition Specific Metrics
    01:56
  - Logging and Client Monitoring
    02:48
  - Producer and Consumer Metrics
    06:11
  - Quotas and Lag Monitoring
    05:53
  - Monitoring Dashboard
    03:33
  - Demo: Setting up Open Source Health Monitor
    06:07
- Lesson 02 - Kafka Schema Registry and Avro
  06:27
  - Kafka Schema Registry
    06:27
- Lesson 03 - Kafka Schema Registry Components
  08:14Preview
  - Kafka Component and Architecture
    04:01
  - Kafka Schema Registry - Internal working and Use-cases
    04:13
- Lesson 04 - Kafka Schema Registry Working
  08:25
  - Kafka Schema Registry Working
    04:37
  - Demo: Using Kafka Schema Registry With Kafka
    03:48
- Lesson 05 - Key Takeaways
  00:17Preview
  - Key Takeaways
    00:17

Section 07 - Kafka Streams and Kafka Connectors
Preview
- Lesson 01 - Kafka Stream Overview
  09:49Preview
  - Learning Objectives
    04:13
  - Kafka Stream
    05:36
- Lesson 02 - Kafka Stream Architecture, Working and Components
  50:42Preview
  - Kafka Stream Architecture and Working
    02:52
  - Kafka Stream Components
    04:28
  - Kafka Stream Architecture Tasks, Threading Model and Local State Store
    04:30
  - Kafka Stream Architecture - Record Buffer
    02:17
  - Memory Management and Streaming Data Pipeline
    06:15
  - Kafka Stream DSL
    06:41
  - KStream Operations
    09:54
  - KTable
    04:04
  - KTable Operations
    04:00
  - Aggregation and Windowing
    05:41
- Lesson 03 - Stream Concepts and Working
  15:30Preview
  - Processor Topology and Stream Processor
    04:19
  - Stream and Processor APIs one
    07:09
  - Processor APIs - Create Topology
    04:02
- Lesson 04 - Kafka Connectors
  06:08
  - Kafka Connectors
    06:08
- Lesson 05 - Kafka Connector Configuration
  25:08Preview
  - Standalone and Sink Connector Configuration
    04:07
  - Running Kafka Connect
    04:11
  - Kafka Connector Distributed Mode
    03:56
  - HTTP Rest Interface
    04:42
  - Demo: Kafka Connector
    02:41
  - Demo: Create an Application using Kafka Streams
    05:31
- Lesson 06 - Key Takeaways
  00:20
  - Key Takeaways
    00:20

Section 08 - Integration of Kafka with Storm
Preview
- Lesson 01 - Apache Storm
  09:10Preview
  - Learning Objectives
    02:58
  - Real-time Analytics
    06:12
- Lesson 02 - Apache Storm Architecture and Components
  08:34Preview
  - Apache Storm Architecture
    04:05
  - Apache Storm Components
    04:29
- Lesson 03 - Apache Storm Topology
  10:44
  - Apache Storm Topology
    05:05
  - Apache Storm Topology - Execution Plan
    05:39
- Lesson 04 - Kafka Spout
  03:54
  - Kafka Spout
    03:54
- Lesson 05 - Integration of Apache Storm and Kafka
  10:19Preview
  - Integration of Apache Storm and Kafka
    06:52
  - Demo: Simple Standalone Application using Kafka and Storm
    03:27
- Lesson 06 - Key Takeaways
  00:20Preview
  - Key Takeaways
    00:20

Section 09 - Kafka Integration with Spark and Flume
Preview
- Lesson 01 - Introduction to Spark and It_s Components
  10:59Preview
  - Learning Objectives
    03:44
  - Spark Components
    07:15
- Lesson 02 - Basics of Spark - RDD, Data Sets, and Transformation and Actions
  24:46Preview
  - RDD
    03:46
  - RDD Operations - Transformation - Map, FlatMap and Filter
    05:12
  - RDD Operations - Transformation - Join, Distinct, First and Take
    05:28
  - RDD Operations - Actions
    02:29
  - Data Sets and Spark Session
    02:38
  - Data Sets and Spark Session Operations
    05:13
- Lesson 03 - Spark Stream
  03:09
  - Spark Stream
    03:09
- Lesson 04 - Spark Integration with Kafka
  06:26
  - Spark Integration with Kafka
    02:36
  - Demo: Running Small Standalone Application in Spark with Kafka
    03:50
- Lesson 05 - Flume
  08:03Preview
  - Flume
    05:25
  - Flume Connectors
    02:38
- Lesson 06 -Flume Kafka to HDFS Configuration
  13:28
  - Flume Kafka to HDFS Configuration
    05:57
  - Demo: Creating Flume agent Sending data from Kafka to HDFS
    07:31
- Lesson 07 - Key Takeaways
  00:29
  - Key Takeaways
    00:29

Section 10 - Admin Client and Securing Kafka
Preview
- Lesson 01 - Admin Client
  11:59Preview
  - Learning Objectives
    06:48
  - Demo: Perform Various Admin Tasks using Admin Client
    05:11
- Lesson 02 - Kafka Security
  01:36Preview
  - Kafka Security
    01:36
- Lesson 03 - Kafka Security Components
  08:58
  - Kafka Security Components
    05:25
  - SASL
    03:33
- Lesson 04 - Configure SSL in Kafka
  01:50
  - Configure SSL in Kafka
    01:50
- Lesson 05 - Secure using ACLs
  05:12Preview
  - Secure using ACLs
    05:12
- Lesson 06 - Key Takeaways
  00:22
  - Key Takeaways
    00:22

Programme Syllabus

Kafka Exam & Certification

Who provides the certification and how long it is valid for?
The Kafka certification is provided by Confluent popularly known as Confluent Certified Developer for Apache Kafka (CCDAK) certification. The certificate expires after two years. You will be required to recertify every 2 years.
How to become a Kafka Developer?
You can take up the Simplilearn’s Apache Kafka certification training course which will help you acquire all the necessary skills required for becoming a Kafka Developer.
What do I need to do to unlock my Simplilearn certificate?
Online Self-Learning:
- Complete 85 percent of the Kafka course
- Complete one simulation test with a minimum score of 60 percent
Do you provide any practice tests as part of this course?
Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this Apache Kafka MCQ Quiz - Free Practice Test to understand the type of tests that are part of the course curriculum.

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Kafka FAQs

What is Apache Kafka?
Apache Kafka is an open-source software platform for distributed stream-processing developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java.
Why you should learn Kafka?
There are many reasons for learning this Apache Kafka open-source system because it is:
- High scalability levels
- Highly durable messaging system
- Highly reliable messaging system
- Amazing performance ability
- Companion to business Hadoop infrastructure
Who are the instructors and how are they selected?
All of our highly qualified Apache Kafka trainers are Big Data industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
How do I enroll in Apache Kafka certification training?
You can enroll for this Apache Kafka certification training on our website and make an online payment using any of the following options:
- Visa Credit or Debit Card
- MasterCard
- American Express
- Diner’s Club
- PayPal
Once payment is received you will automatically receive a payment receipt and access information via email.
How can I learn more about this Apache Kafka course?
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.
What is Global Teaching Assistance?
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance.
Can I cancel my enrollment? Will I get a refund?
Yes! You can cancel your enrollment. We will provide you a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.
What is covered under the 24/7 Support promise?
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.
What is the recommended learning path after completing Apache Kafka certification course?
You can either enroll in our Big Data Engineer certification training or if you are looking to get the University certificate, you can enroll in the Professional Certificate Program in Data Engineering.

Acknowledgement
PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.

This course has been upgraded to

Professional Certificate Program in Data Engineering

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Program completion certificate from Purdue University Online and Simplilearn
Access to Purdue’s Alumni Association membership on program completion

Apache Kafka Certification Training

Apache Kafka Certification Course Overview

Kafka Training Key Features

Skills Covered

Take the first step to your goals

Training Options

Self Paced Learning

Kafka Course Curriculum

Eligibility

Pre-requisites

Course Content

Section 01 - Introduction to Apache Kafka

Lesson 01 - Course Introduction

Course Introduction

Lesson 02 - Big Data Overview

Big Data Overview

Lesson 03 - Big Data Analytics

Big Data Analytics

Lesson 04 - Messaging System

Messaging System

Lesson 05 - Kafka Overview

Introduction and Features of Kafka

Kafka Usercases

Lesson 06 - Kafka Components and Architecture

Kafka Terminologies

Kafka Components

Kafka Architecture

Lesson 07 - Kafka Clusters

Kafka Clusters

Lesson 08 - Kafka Industry Usecases

Kafka Industry Usecases

Lesson 09 - Demo: Install Kafka and Zookeeper

DEMO: Install zookeeper

Demo: Install Kafka

Lesson 10 - Demo: Single Node Single-Multi Broker Cluster

DEMO: Setup A Single Node Single Broker Cluster

DEMO: Setup A multi Node Single Broker Cluster

Lesson 11 - Key Takeaways

Key Takeaways

Section 02 - Kafka Producer

Lesson 01 - Overview of Producer and Its Architecture

Learning Objectives

Lesson 02 - Kafka Producer Configuration

Kafka Producer Configuration

Kafka Producer Optional Configuration

Kafka Producer Configuration Objects

Demo: Create a Kafka Producer

Lesson 03 - Send Messages

Sending Messages

Lesson 04 - Serializers

Serializers and Custom Serializers

Demo: Creating a Custom Serializer

Serializers Challenges and Serializing using Apache Avro

Demo: Serializing Using Apache Avro

Lesson 05 - Partitions

Partitions

Demo: Setup Custom Partition

Lesson 06 - Key Takeaways

Key Takeaways

Section 03 - Kafka Consumer

Lesson 01 - Kafka Consumer - Overview, Consumer Groups and Partitioners

Overview of Kafka Consumers

Consumer Groups

Partition Rebalance and Creating a Consumer

Lesson 02 - Poll Loop

Poll loop and it's functioning

Lesson 03 - Configuring Consumer

1.Kafka Consumer Configuration- Part One

Kafka Consumer Configuration- Part Two

Demo: Create Kafka Consumer

Lesson 04 - Commit and Offset

Commit and Offset

Ways of Committing Offset - Automatic Offset

Ways of Commiting Offset - Commit Current Offset

Ways of Commiting Offset - Asynchronous Commit

Ways of Commiting Offset - Combining Synchronous and Asynchronous Commits

Ways of Commiting Offset - Commit Specified Offset

Lesson 05 - Rebalance Listeners

Rebalance Listeners

Lesson 06 - Consuming Records with Specific Offset