Kafka Skills you will learn

  • Kafka Architecture
  • Producer and Consumer Concept
  • Data Streaming Pipelines
  • Kafka Streams
  • Error Handling and Logging

Who should learn this Kafka course?

  • Data Engineers
  • DevOps Engineers
  • Big Data Specialists
  • Software Developer
  • Machine Learning Engineers

What you will learn in this Kafka course?

  • Getting started with Kafka

    • Introduction

      01:05
      • Introduction
        01:05

    • Lesson 1: Big Data Overview

      18:24
      • Big Data Overview
        18:24

    • Lesson 2: Introduction to ZooKeeper

      16:17
      • Introduction to ZooKeeper
        16:17

    • Lesson 3: Introduction to Kafka

      16:10
      • Introduction to Kafka
        16:10
About the Course

This Kafka course provides a beginner-friendly introduction to Apache Kafka, the powerful platform for real-time data streaming. Learn Kafka's core concepts, including its architecture, topics, producers, consumers, and brokers. Gain practical skills in setting up Kafka, managing data streams, and integrating it with applications. Ideal for professionals looking to explore event-driven systems and real-time data processing.
 

Topics Covered:

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Why you should learn Kafka?

$303.4 Billion.

Expected size of global Data Analytics market by 2030.

$125K+ (USA) | INR 10 LPA

Average Salary of a Data Engineer annually.

FAQs

  • What is the Getting Started with Kafka course about?

    This course provides an introduction to Apache Kafka, covering its architecture, components, and practical use cases in real-time data streaming.

  • Who should take this free Kafka course?

    The course is ideal for data engineers, software developers, system architects, or anyone interested in real-time data processing and event-driven systems.

  • Do I need prior knowledge to take this course?

    Basic understanding of programming and familiarity with data processing concepts is recommended but not mandatory.

  • What topics are covered in the free Kafka course?

    Topics include Kafka architecture, producers, consumers, message brokers, topics, partitions, Kafka Connect, and an introduction to Kafka Streams.

  • Will the course include hands-on practice?

    Yes, the course includes practical exercises to set up Kafka, manage topics, and build data pipelines using producers and consumers.

  • How long does it take to complete this Kafka course?

    This Kafka basics course is 1 hour long.

  • What are the benefits of completing this course?

    You’ll gain foundational knowledge of Kafka, hands-on experience, and the skills needed to build scalable real-time data systems.

  • What career opportunities does this Kafka for beginners course open up?

    This course prepares you for roles like Kafka Developer, Data Engineer, Big Data Specialist, or Event-Driven Systems Architect.

  • Does this course cover advanced Kafka topics?

    While focused on the basics, the course provides a foundation for exploring advanced topics like stream processing and cluster management.

  • Will I receive a certificate after completing this Kafka course?

    Yes, you will earn a certificate of completion to showcase your Kafka knowledge and skills.

  • What advanced software development programs can I take after this free course?

    Yes, after completing this free course, you can further enhance your skills with several industry-focused Software Development programs from Simplilearn Popular options include the AI-Powered Full Stack Developer Program, Python Certification Course, Automation Testing Masters Program, and the DevOps Engineer Masters Program, along with other specialized courses. These programs are designed to help you build advanced software development capabilities, strengthen your problem-solving and technical expertise, and gain practical experience in areas such as web development, cloud technologies, software testing, DevOps, and building scalable modern applications.
     

    Here are some of the Key Software Development Courses we offer:

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  • Career Impact Results vary based on experience and numerous factors.