What will I be able to do after completing this course?

You'll be able to describe Kafka's architecture and components, install and set up Zookeeper and Kafka clusters, create and consume messages, handle serializers/deserializers, manage offsets, and build up basic streaming workflows.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Kafka Fundamentals

Économisez sur les compétences qui vous font briller avec 40 % de réduction sur 3 mois de Coursera Plus. Économisez maintenant

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Kafka Fundamentals

Name: Kafka Fundamentals
Rating: 3.8780487804878048 (41 reviews)

Ce cours fait partie de Spécialisation "Apache Kafka"

Enseigné en Français (doublage IA)

Instructeur : LearnKartS

6 113 déjà inscrits

Inclus avec

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

41 avis

niveau Débutant

Expérience recommandée

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

41 avis

niveau Débutant

Expérience recommandée

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Learn Kafka's key features, components, architecture, and industry use cases.
How to Set up Kafka environments and install Zookeeper and Kafka
Learn Kafka producer and consumer basics, configurations, and operations. Work with serializers and deserializers, and manage offsets.
Understand data evolution, the significance of big data, analytics applications, and messaging systems.

Compétences que vous acquerrez

Catégorie : Real Time Data
Catégorie : Data Pipelines
Catégorie : Distributed Computing
Catégorie : Live Streaming
Catégorie : Data Processing
Catégorie : Event-Driven Programming

Outils que vous découvrirez

Catégorie : Apache Kafka

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

12 devoirs

Enseigné en Français (doublage IA)

91% of learners achieved a positive career outcome

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

En savoir plus sur Coursera pour les affaires

logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

Élaborez votre expertise du sujet

Ce cours fait partie de la Spécialisation "Apache Kafka"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 3 modules dans ce cours

In a data-driven world, real-time processing is no longer optional—it's required. This Apache Kafka Fundamentals is a beginner-friendly but in-depth course for developers, data engineers, system administrators, and IT professionals who want to understand the fundamentals of Apache Kafka and its role in creating modern, high-performance data pipelines.

You will begin by studying the growth of data systems and the growing significance of big data, analytics, and messaging platforms. Then explore Apache Kafka's architecture, including its key components (partitions, producers, consumers, and brokers), as well as how it handles distributed messaging at scale. You'll learn how to install and set up Kafka and Zookeeper, as well as how to create and operate producers and consumers. You'll also work with crucial features including serializers, deserializers, offset management, and consumer group rebalancing. Hands-on demos, videos, and graded assignments will provide you with practical experience with Kafka in real-world streaming applications. By the end, you'll be able to design and build scalable streaming applications using Apache Kafka. Enroll today and take the first step toward the future of real-time data.

This module provides an overview of Big Data, messaging systems, and Apache Kafka, including installation and setup demonstrations. By the end of this, learners will be able to install and configure the Kafka environment.

Inclus

16 vidéos5 lectures4 devoirs

16 vidéosTotal 49 minutes

Course Introduction2 minutes
Data Evolution Over Time4 minutes
Big Data Overview2 minutes
Big Data Analytics3 minutes
Messaging System6 minutes
Introduction and Features of Kafka4 minutes
Kafka Use Cases4 minutes
Kafka Terminologies1 minute
Kafka Components7 minutes
Kafka Architecture1 minute
Kafka Clusters1 minute
Kafka Industry Use Cases2 minutes
DEMO: Install Zookeeper3 minutes
DEMO: Install Kafka2 minutes
DEMO: Set up a Single Node Single Broker Cluster3 minutes
DEMO: Set up a Multi-Node Single Broker Cluster3 minutes

5 lecturesTotal 21 minutes

Specialization Introduction4 minutes
Introduction and Syllabus2 minutes
Security Lessons from the 2017 Equifax Data Breach5 minutes
Summary5 minutes
From Single Broker Setup to Distributed Kafka Clusters – Understanding the Architectural Shift5 minutes

4 devoirsTotal 26 minutes

Big Data Evolution4 minutes
Kafka Basics6 minutes
Zookeeper and Kafka Cluster Setup4 minutes
Big Data and Apache Kafka12 minutes

This module provides an overview of Kafka Producer, covering its architecture and configuration. By completing this module, learners will be able to create and configure Kafka Producers, handle message serialization, and manage partitioning.

Inclus

12 vidéos2 lectures4 devoirs

12 vidéosTotal 46 minutes

Overview of Producer and Architecture4 minutes
Kafka Producer Configuration2 minutes
Kafka Producer Optional Configuration3 minutes
Kafka Producer Configuration Objects7 minutes
DEMO: Create a Kafka Producer2 minutes
Sending Messages5 minutes
Serializers and Custom Serializers3 minutes
DEMO: Creating a Custom Serializer4 minutes
Serializers Challenges and Serializing Using Apache Avro4 minutes
DEMO: Serializing Using Apache Avro3 minutes
Partitions4 minutes
DEMO: Set up Custom Partition4 minutes

2 lecturesTotal 10 minutes

Understanding Serialization in Kafka – From Basic Messages to Structured Data5 minutes
Summary5 minutes

4 devoirsTotal 32 minutes

Configuring Kafka Producers6 minutes
Working with Serializer6 minutes
Kafka Partitions8 minutes
Kafka Producer12 minutes

This module introduces Kafka Consumer fundamentals, including consumer groups, offset management, and deserialization techniques. By completing this module, learners will gain the ability to create Kafka Consumers, effectively manage offsets, and implement custom deserializers for efficient data processing.

Inclus

17 vidéos3 lectures4 devoirs

17 vidéosTotal 51 minutes

Overview of Kafka Consumer3 minutes
Consumer Groups4 minutes
Partition Rebalance and Creating a Consumer4 minutes
Poll Loop and Its Functioning3 minutes
Configuring Kafka Consumer: fetch.min.bytes, fetch.max.wait.ms, max.partition.fetch.bytes, session.timeout.ms5 minutes
Kafka Consumer Configuration: auto.offset.reset, enable.auto.commit, partition.assignment.strategy, client.id, max.poll.records, receive.buffer.bytes, send.buffer.bytes6 minutes
DEMO: Create Kafka Consumer3 minutes
Commit and Offset4 minutes
Ways of Committing Offset - Automatic Offset2 minutes
Ways of Committing Offset - Commit Current Offset2 minutes
Ways of Committing Offset - Asynchronous Commit2 minutes
Ways of Committing Offset - Synchronous and Asynchronous Offset1 minute
Ways of Committing Offset - Commit Specified Offset1 minute
Rebalance Listeners2 minutes
Consuming Records with Specific Offset4 minutes
Introduction to Deserializers3 minutes
DEMO: Create and Use a Custom Deserializer2 minutes

3 lecturesTotal 12 minutes

Understanding Kafka Consumers – Coordination, Rebalancing, and Reliability5 minutes
Mastering Offset Management in Kafka – Reliability, Control, and Data Consistency5 minutes
Course Synopsis2 minutes

4 devoirsTotal 30 minutes

Optimizing Kafka Consumers6 minutes
Kafka Offset Handling8 minutes
Kafka Deserialization4 minutes
Kafka Consumer12 minutes

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeur

Évaluations de l’enseignant

(9 évaluations)

LearnKartS

160 Cours209 126 apprenants

Offert par

LearnKartS

En savoir plus sur Software Development

Coursera
Apache Kafka - An Introduction
Cours
Packt
Apache Kafka Series - Learn Apache Kafka for Beginners v3
Cours
LearnKartS
Kafka Architecture and Internals
Cours
EDUCBA
Mastering Kafka Consumer Systems for Telecom Data
Cours

Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Étudiant(e) depuis 2018

’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’

Jennifer J.

Étudiant(e) depuis 2020

’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’

Larry W.

Étudiant(e) depuis 2021

’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’

Chaitanya A.

’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’

Avis des étudiants

5 stars
43,90 %
4 stars
24,39 %
3 stars
12,19 %
2 stars
14,63 %
1 star
4,87 %

Affichage de 3 sur 41

Révisé le 9 déc. 2025

Really great coverage of Kafka foundations. Great didactics and clear explanations.

Voir plus d’avis

Foire Aux Questions

The Apache Kafka training course primarily uses Java for coding examples and exercises, as Kafka itself is written in Java. Some exercises may also involve Scala and command-line scripts.

Yes, a course completion certificate is allocated upon completing all graded assignments and quizzes present in the Kafka Fundamentals course.

Prior Kafka knowledge is not required; however, learners should be familiar with programming fundamentals (Java or Python) and comprehend distributed computing ideas.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.