Online Course – LearnKartS Certified Professional Internship in Apache Kafka

Improve your capabilities with Apache Kafka for big data solutions. In this course, gain proficiency in fundamental Kafka concepts, including architecture, cluster deployment and management, defining producers and consumers, stream processing, ensuring data integrity, security, monitoring, troubleshooting, and implementing best practices for scalability and performance.

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קורס אונליין - התמחות מקצועית מוסמכת ב-Apache Kafka של LearnKartS

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Developing skills in Apache Kafka
  • Understanding the basics of Kafka
  • Detailed interior architecture
  • Advanced streaming management techniques
  • Integration with big data tools like Storm, Spark, and Flume
  • Implementing strong security practices
  • Installing Zookeeper and Kafka
  • Establishing single-node and multi-node clusters
  • Creating Producers and Consumers in Kafka
  • Working with custom serialization and deserialization
  • Managing Kafka Cluster Architecture
  • Ensuring secure data streaming
  • Deep understanding of Kafka architecture and its capabilities

What you will learn in the course

Courses for which the course is suitable

  • Software developers
  • Data Engineers
  • Information Systems Administrators
  • Systems analysts
  • Streaming experts
  • Big Data Developers
  • DevOps people
  • Technology Project Managers
  • Information security experts
  • Developers in real-time applications

Internship – 4-part course series

Apache Kafka is an open source, distributed data processing platform that is adopted by enterprises for its flexibility, fault tolerance, and high throughput. More than 80% of Fortune companies trust and use Kafka, including companies like Airbnb, Netflix, Microsoft, Intuit, and Target.

The Apache Kafka course is designed for people who are interested in developing skills in Kafka, the leading platform for creating real-time data pipelines and streaming applications.

Topics covered in courses:

  • Kafka’s Basics
  • Detailed interior architecture
  • Advanced streaming management techniques
  • Integration with big data tools like Storm, Spark, and Flume
  • Implementing strong security practices

A basic understanding of Java or Scala is necessary for this specialization.

Practical labs and projects

The specialization includes hands-on labs, demos, quizzes, and high-quality training videos from industry experts. The courses provide the tools needed to understand and implement Kafka-based solutions.

Hands-on Learning Project

The internship offers 19 demos for building real-time streaming applications and data pipelines using Apache Kafka. Key projects include:

  • Installing Zookeeper and Kafka
  • Establishment of single-node and multi-node clusters
  • Creating Producers and Consumers in Kafka
  • Working with custom serialization and deserialization

These projects teach learners to implement data processing, manage a Kafka cluster architecture, and ensure secure data streaming, while supporting a deep understanding of the Kafka architecture and its capabilities.

Details of the courses that make up the specialization

Course 1: Kafka Basics

Duration: 4 hours

What you will learn:

  • Understand the evolution of data, the importance of big data, analytics applications, and messaging systems.
  • Learn about Kafka’s key features, components, architecture, and industry use cases.
  • How to set up Kafka environments and install Zookeeper and Kafka.
  • Understand the basics of Kafka producers and consumers, definitions, and operations.

Skills you will acquire:

  • Desire
  • Arrangement
  • Sorting
  • Apache Zookeeper
  • Apache Kafka

Course 2: Architecture and Kafka’s Interiors

Duration: 3 hours

What you will learn:

  • How to analyze Kafka’s inner life and actions.
  • Learn performance tuning techniques in Kafka.
  • Investigate trusted manufacturer and consumer definitions.
  • Understand Kafka cluster architecture and management.

Skills you will acquire:

  • Network monitoring
  • Server monitoring
  • Customer monitoring
  • Infrastructure monitoring
  • Memory management

Course 3: Monitoring, Currents and Connectors

Duration: 4 hours

What you will learn:

  • Monitor metrics for Kafka brokers, producers, and consumers.
  • Manage quotas and monitor consumer backlogs effectively.
  • Understand Kafka streams including tasks, thread models, and local repositories.
  • Perform operations related to K-Streams and K-Tables.

Skills you will acquire:

  • HTTP REST interface
  • Kafka Monitoring
  • Kafka’s schema recording
  • K-table
  • Kafka Broker Indices

Course 4: Integrating Kafka with Storm, Spark, Plume, and Security

Duration: 3 hours

What you will learn:

  • Understand Apache Storm architecture and topology analysis.
  • Integrate Kafka Spouts into Apache Storm topologies.
  • Explore Apache Spark components, functions, and practical applications.
  • Develop Spark applications with Kafka integration.

Skills you will acquire:

  • Apache Plume
  • Spark Streaming
  • Apache Storm
  • Kafka Security

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