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    • Kafka

    Kafka Courses Online

    Explore Apache Kafka for building real-time data pipelines. Learn to use Kafka for stream processing, message brokering, and data integration.

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    Explore the Kafka Course Catalog

    • Status: Free
      Free
      U

      University of Pennsylvania

      비즈니스와 사회의 글로벌 트렌드

      Skills you'll gain: Demography, International Finance, International Relations, Political Sciences, Market Trend, Socioeconomics, Trend Analysis, Social Sciences, Cultural Diversity, Economic Development, Sociology, Consumer Behaviour, Financial Systems, Economics, Business, Business Economics, Analysis, Governance

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Advanced Kotlin for Multi-Platform Development

      Skills you'll gain: Java Programming, Java, System Programming, OS Process Management, Debugging, Application Performance Management, Software Design Patterns, Operating Systems, Application Development, Algorithms, Development Testing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Processing with Dataflow en Español

      Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Apache Kafka, Cloud Security, Identity and Access Management, Performance Tuning, Google Cloud Platform, Site Reliability Engineering, Data Infrastructure, Maintainability, Real Time Data, Data Transformation, Debugging, Extract, Transform, Load, System Monitoring, CI/CD, Containerization, Unit Testing

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

      Skills you'll gain:

      Intermediate · Course

    • G

      Google Cloud

      Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

      Skills you'll gain: Grafana, Apache Kafka, Real Time Data, Data Pipelines, Dashboard, Data Synthesis, Interactive Data Visualization

      Intermediate · Project · Less Than 2 Hours

    • P

      Packt

      Streaming Big Data with Spark Streaming, Scala, and Spark 3!

      Skills you'll gain: Apache Kafka, Scala Programming, Apache Spark, Real Time Data, Apache Hadoop, Data Pipelines, Applied Machine Learning, Data Processing, Apache Cassandra, Application Deployment, Distributed Computing, Development Environment

      Advanced · Course · 1 - 3 Months

    • I

      Illinois Tech

      Big Data Technologies

      Skills you'll gain: NoSQL, Big Data, Apache Hadoop, Apache Spark, Data Infrastructure, Real Time Data, Apache Kafka, Data Management, Apache Cassandra, Apache Hive, Data Lakes, MongoDB, Databases, Data Architecture, Database Management Systems, Distributed Computing, Data Processing, Software Design Patterns, Scalability

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Serverless Data Processing Dataflow em Português Brasileiro

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Identity and Access Management, Cloud Security, Real Time Data, Data Security, Debugging, Data Processing, Google Cloud Platform, Data Integrity, CI/CD, Data Integration, Extract, Transform, Load, Performance Tuning, Maintainability, Pandas (Python Package), Cloud Storage, Data Transformation

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      The Ultimate Hands-On Hadoop

      Skills you'll gain: Apache Hadoop, Real Time Data, Apache Kafka, Apache Hive, Apache Spark, AWS Kinesis, Apache Cassandra, Big Data, PySpark, Database Systems, MongoDB, SQL, Data Processing, NoSQL, System Design and Implementation, Distributed Computing, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines en Español

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Extract, Transform, Load, Data Processing, SQL, Google Cloud Platform, Jupyter

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Extract, Transform, Load, Pandas (Python Package), Data Transformation, SQL, Jupyter, Google Cloud Platform, Development Environment, Cloud Storage

      Advanced · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular kafka courses

    • 비즈니스와 사회의 글로벌 트렌드: University of Pennsylvania
    • Advanced Kotlin for Multi-Platform Development: Board Infinity
    • Serverless Data Processing with Dataflow en Español: Google Cloud
    • Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI: IBM
    • Confluent: Clickstream Data Analysis Pipeline Using ksqlDB: Google Cloud
    • Streaming Big Data with Spark Streaming, Scala, and Spark 3!: Packt
    • Big Data Technologies: Illinois Tech
    • Serverless Data Processing Dataflow em Português Brasileiro: Google Cloud
    • The Ultimate Hands-On Hadoop: Packt
    • Serverless Data Processing with Dataflow: Develop Pipelines en Español: Google Cloud

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Kafka

    Kafka is an open-source programming platform developed by the Apache Foundation. It's programmed in Scala and Java. The platform is mostly used in parallel computing and distributed computing, with several computers working on different parts of big data analysis.‎

    Learning Kafka enables you to write parallel programs in order to make applications run faster and to analyze large data sets. Then, you can take your computer science skills deeper by learning concurrent and distributed programming. Or, you can use your big data analytics skills with Kafka to analyze data and create reports for users. Another next step would be to learn how to manage data sets for better integration and processing.‎

    Typical careers that use Kafka are those in parallel computing, functional programming, big data analytics, and other aspects of computer science. The increasing use of machine learning to process big data calls for greater experience with platforms like Kafka. The analytics are particularly useful in biomedical research and in financial analysis. More and more industries are finding ways to pull out information from large sets of data. Also, the skills learned with Kafka can be applied to other big data platforms, such as Google Cloud. Those who will be moving into leadership positions in organizations with large computing environments will also need to be familiar with the relevant platforms, including Kafka.‎

    Kafka requires knowledge of Java, and you can find courses on Coursera to get you started with that. Depending on your interests, you can learn Kafka as part of courses covering big data, distributed computing, machine learning, or data analytics. You can also concentrate on related platforms like Scala or TensorFlow if needed for the computing environment where you work.‎

    Online Kafka courses offer a convenient and flexible way to enhance your knowledge or learn new Kafka skills. Choose from a wide range of Kafka courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Kafka, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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