Apache Kafka Certification Training by Simplilearn: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

The Apache Kafka Certification Training course is designed for people who want to upgrade their knowledge and proficiency in the field of Big Data. The course is especially recommended for developers and analytics professionals who are willing to upskill.

Candidates will be proficient in areas like the architecture, interfaces, installation, and configuration of Kafka open-source messaging. Also, candidates will gain a working knowledge of Apache Zookeeper, Kafka architecture, advanced concepts of Big Data, and the deployment of Kafka for the purpose of real-time messaging. Kafka, which was initially developed by LinkedIn and later added to Apache as an open-source project, is a petabyte-scale messaging platform capable of handling millions of messages in a second.

The Apache Kafka Certification Training course also prepares the students for the Confluent Certified Developer for Apache Kafka (CCDAK) certification provided by Confluent. The Apache Kafka Certification Training Course by Simplilearn is a key prerequisite for those aspiring to become Big Data Hadoop architects.

Course and certificate fees

Fees information

₹ 21,420

Apache Kafka Certification Training Course Fee Details:

Training Options	Fee
Self-Paced Learning	₹ 21,420

certificate availability

Yes

certificate providing authority

Simplilearn

Who it is for

The Apache Kafka Certification Training Course by Simplilearn is a significant course for those who wish to become Big Data Hadoop architects. Some common profiles include:

Analytics Professionals
IT Developers
Project Managers
Students

Eligibility criteria

Skills

To apply for the Apache Kafka Certification training course, candidates must have a prior knowledge of a messaging system and Java or any other messaging system. In addition, interested candidates must be familiar with Linux or Unix based systems.

Certification Qualifying Detail

In order to qualify for the Apache Kafka Certification Training Course Online, Apache Kafka Certification Training Course by Simplilearn, candidates will have to attend at least 85percent of the Kafka course and also complete one simulation test with at least 60 percent score.

What you will learn

Knowledge of big data Knowledge of kafka

After completing the Apache Kafka Certification Training course, students will become adept in skills like:

Learn about Big data is, its uses, applications, and its role in the industry
Excel in fundamental concepts of Kafka, its features, and its use cases
Have a detailed understanding of the architecture of the messaging platform, and how the architecture is implemented
Gain a working knowledge of the installation procedure of Kafka onto a system of your choice, along with the knowledge about its best possible configuration
Learn about Kafka’s application in real-time messaging
Use Kafka’s application to control high volumes of data, and enable the users to pass messages from one end to the other

The syllabus

Section 01 - Introduction to Apache KafkaPreview

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

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

Consuming Records with Specific Offset

Lesson 07 - Deserializers

Deserializers
Demo: Create and Use Custom Deserializer

Lesson 08 - Key Takeaways

Key Takeaways

Section 04 - Kafka Operations and Performance Tuning

Lesson 01 - Learning Objectives

Learning Objectives

Lesson 02 - Replications

Replication and Replica Types
Preffered Ladder, Request and Request Processing
Types of Requests

Lesson 03 - Storage

Partition Allocation, File Management and Segments
File Format, Index and Compaction

Lesson 04 - Configuration in Reliable System1

Kafka Reliability and Reliablity Methods
Broker Configuration for Replication One
Producer in Reliable System
Consumer in Reliable System

Lesson 05 - Key Takeaways

Key Takeaways

Section 05 - Kafka Cluster Architecture and Administering Kafka

Lesson 01 - Learning Objectives

Learning Objectives

Lesson 02 - Multi Cluster Architecture

Hub and Spokes Architecture and Active Active Architecture
Active-Standby Architecture and Stretch Clusters

Lesson 03 - MirrorMaker

MirrorMaker Configuration
MirrorMaker Deployment and Tuning
Demo: Setting up MirrorMaker

Lesson 04 - Administering Kafka

Administering Kafka - Topic Operations
Administering Kafka - Consumer Group Operations

Lesson 05 - Dynamic Configuration Changes

Dynamic Configuration Changes
Partition Management

Lesson 06 - Console Producer Tool

Console Producer Tool

Lesson 07 - Console Consumer Tool

Console Consumer Tool

Lesson 08 - Key Takeaways

Key Takeaways

Section 06 - Kafka Monitoring and Schema Registry

Lesson 01 - Monitoring

Learning Objectives
Server or Infrastructure Monitoring and Application Monitoring
Kafka Monitoring
Kafka Broker Metrics - Under Replicated Partitions
Kafka Broker Metrics - Others
Topic and Partition Specific Metrics
Logging and Client Monitoring
Producer and Consumer Metrics
Quotas and Lag Monitoring
Monitoring Dashboard
Demo: Setting up Open Source Health Monitor

Lesson 02 - Kafka Schema Registry and Avro

Kafka Schema Registry

Lesson 03 - Kafka Schema Registry Components

Kafka Component and Architecture
Kafka Schema Registry - Internal working and Use-cases

Lesson 04 - Kafka Schema Registry Working

Kafka Schema Registry Working
Demo: Using Kafka Schema Registry With Kafka

Lesson 05 - Key Takeaways

Key Takeaways

Section 07 - Kafka Streams and Kafka Connectors

Lesson 01 - Kafka Stream Overview

Learning Objectives
Kafka Stream

Lesson 02 - Kafka Stream Architecture, Working and Components

Kafka Stream Architecture and Working
Kafka Stream Components
Kafka Stream Architecture Tasks, Threading Model and Local State Store
Kafka Stream Architecture - Record Buffer
Memory Management and Streaming Data Pipeline
Kafka Stream DSL
KStream Operations
KTable
KTable Operations
Aggregation and Windowing

Lesson 03 - Stream Concepts and Working

Processor Topology and Stream Processor
Stream and Processor APIs one
Processor APIs - Create Topology

Lesson 04 - Kafka Connectors

Kafka Connectors

Lesson 05 - Kafka Connector Configuration

Standalone and Sink Connector Configuration
Running Kafka Connect
Kafka Connector Distributed Mode
HTTP Rest Interface
Demo: Kafka Connector
Demo: Create an Application using Kafka Streams

Lesson 06 - Key Takeaways

Key Takeaways

Section 08 - Integration of Kafka with Storm

Lesson 01 - Apache Storm

Learning Objectives
Real-time Analytics

Lesson 02 - Apache Storm Architecture and Components

Apache Storm Architecture
Apache Storm Components

Lesson 03 - Apache Storm Topology

Apache Storm Topology
Apache Storm Topology - Execution Plan

Lesson 04 - Kafka Spout

Kafka Spout

Lesson 05 - Integration of Apache Storm and Kafka

Integration of Apache Storm and Kafka
Demo: Simple Standalone Application using Kafka and Storm

Lesson 06 - Key Takeaways

Key Takeaways

Section 09 - Kafka Integration with Spark and Flume

Lesson 01 - Introduction to Spark and It_s Components

Learning Objectives
Spark Components

Lesson 02 - Basics of Spark - RDD, Data Sets, and Transformation and Actions

RDD
RDD Operations - Transformation - Map, FlatMap and Filter
RDD Operations - Transformation - Join, Distinct, First and Take
RDD Operations - Actions
Data Sets and Spark Session
Data Sets and Spark Session Operations

Lesson 03 - Spark Stream

Spark Stream

Lesson 04 - Spark Integration with Kafka

Spark Integration with Kafka
Demo: Running Small Standalone Application in Spark with Kafka

Lesson 05 - Flume

Flume
Flume Connectors

Lesson 06 -Flume Kafka to HDFS Configuration

Flume Kafka to HDFS Configuration
Demo: Creating Flume agent Sending data from Kafka to HDFS

Lesson 07 - Key Takeaways

Key Takeaways

Section 10 - Admin Client and Securing Kafka

Lesson 01 - Admin Client

Learning Objectives
Demo: Perform Various Admin Tasks using Admin Client

Lesson 02 - Kafka Security

Kafka Security

Lesson 03 - Kafka Security Components

Kafka Security Components
SASL

Lesson 04 - Configure SSL in Kafka

Configure SSL in Kafka

Lesson 05 - Secure using ACLs

Secure using ACLs

Lesson 06 - Key Takeaways

Key Takeaways

Admission details

For Apache Kafka certification training course admission, visit the website and make the payment online through the following:

MasterCard
Visa Credit Card
Debit Card
Diner’s Club
PayPal
American Express

After the payment is done, you will automatically receive a payment receipt and access information through your registered email.

Filling the form

The Apache Kafka Certification Training Course by Simplilearn application process is mentioned below:

step 1 - Visit https://www.simplilearn.com/apache-kafka-certification-training-course

Step 2 - Click on Enroll now button on the right side

Step 3 - Click Enrol now which will take you to a new page

Step 4 - If applicants have a coupon then they can simply apply or click on the Proceed button.

Step 5 - Then fill name, email, and contact number, and click on proceed

Step 6 - Pay the fee and save the receipt of the transaction for reference in future.

How it helps

With the demand of Apache Kafka growing at a rapid pace, the Apache Kafka Certification Training course will help the participants learn the in-demand technical skills which will help them establish themselves as an authority in the field of big data. Also, on average, certified professionals are offered with pay packages higher than that of the non-certified professionals.

The CCDAK or Confluent Certified Developer for Apache Kafka certification provides training to anyone looking for jobs in a big data-centric role.

FAQs

Who provides the Apache Kafka certification and how long it is valid for?

The Certified Developer for Apache Kafka (CCDAK) certification is given by Confluent, which is two years. Candidates will be required to recertify every two years.

What is the meaning of Apache Kafka?

Apache Kafka is an open-source software platform which is used for distributed stream-processing. It is developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java.

How to become a Kafka Developer?

Candidates can crack the Certified Developer for Apache Kafka (CCDAK) to become a certified Kafka developer.

How do I unlock my Apache Kafka training course certificate?

For students enrolled in online Self-Learning: a complete minimum of 85 per cent of the Apache Kafka certification training course and clear one simulation test securing a minimum score of 60 per cent

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50 Must Know Apache Kafka Interview Questions to Prepare Updated On 15 Apr, 2024

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Apache Kafka Certification Training

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Quick Facts

Course overview

The highlights

Program offerings

Course and certificate fees

Fees information

certificate availability

certificate providing authority

Who it is for

Eligibility criteria

What you will learn

The syllabus

Section 01 - Introduction to Apache KafkaPreview

Lesson 01 - Course Introduction

Lesson 02 - Big Data Overview

Lesson 03 - Big Data Analytics

Lesson 04 - 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

Lesson 08 - 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

Section 02 - Kafka Producer

Lesson 01 - Overview of Producer and Its Architecture

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

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

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

Lesson 03 - Configuring Consumer

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

Lesson 06 - Consuming Records with Specific Offset

Lesson 07 - Deserializers

Deserializers

Demo: Create and Use Custom Deserializer

Lesson 08 - Key Takeaways

Section 04 - Kafka Operations and Performance Tuning

Lesson 01 - Learning Objectives

Lesson 02 - Replications