Course Overview

Presently Kafka is used heavily in the Big Data space as a reliable way to ingest and move large amounts of data very quickly. Looking into the growing demand for Kafka, it becomes a prerequisite for many IT domains. Our course will prepare you for the careers which are connected with widely understood software development.

Course Contents

The Apache Kafka course at Acceleratron offers a comprehensive exploration of this powerful distributed streaming platform. Participants will delve into core concepts, starting with the architecture, components, and essential terminology of Kafka. The course covers key aspects such as producers and consumers, focusing on efficient data stream publishing and consumption.

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Prerequisite

AAnyone who have the zeal to learn a open-source distributed event streaming platform, fundamentals of Java concepts and of course, you should be able to use a Personal computer and have a good internet.

How We Coach

Acceleratron researched that basic and advanced courses are majorly available in urban cities. Which are unavailable for rural candidates. If any candidate wants to take these courses, then they must stay temporarily in cities. Also, they send a lot of time, energy & money during their daily convenience.

To overcome all these situations, we deliver our course through virtual classes. During our interactive sessions, we engage our students with discussions & project module development. Acceleratron learning process is divided into two parts, viz. knowledge gathering and skill development. Teachers & coaches deliver knowledge within the virtual interactive class. During these classes, students are provided with assignments which is a time-bound activity. Once the information delivery of a subject is complete, they engage with project module development. Projects are developed in small groups. Mentors govern this group activity to demonstrate the deployment life cycle along with the project development.

Our Sessions

Our sessions are 2 hours long. The entire course takes approximately 30 Hrs. Every week two classes are organized, which include both technical and practical class. These classes are scheduled on weekdays or weekends. Mostly these sessions are arranged in the late evening to avoid any schedule conflicts with professionals and students. Candidate should also be available for the group activities like project discussion, project status meeting. On regular intervals (biweekly/monthly), we take feedback from our students to maximize the effectiveness of our learning process.

Journey with Acceleratron

Journey with Acceleratron starts from enrolment of a candidate through online enrolment form. During enrolment, each candidate pays enrolment fees*. Once enrolled, candidates will go through an intake discussion. We capture a few details about the candidate during this discussion.

We start with our course delivery. At this point, candidates don't pay us any tuition fees*. After the first week, if the candidate is unhappy, we don't charge any tuition fees*, else he pays the entire tuition fees*. After the completion of the first month (started from the first class of the curriculum), If the candidate wants to continue with our course, then he pays the final instalment.

We tailored our course in slots so that the candidates can always have an option to withdraw, without any financial loss.

* The fees structure varies with the country from which the candidate is joining. Please contact Acceleratron help desk or your referee to get more insight on our fees structure.

Learning Outcomes & Exit Profiles

After the completion of this course, candidates would be able to

• Learn Kafka and its components.
• Set up an end to end Kafka cluster along with Hadoop and YARN cluster.
• Gain expertise in Kafka Architecture, Installation, Configuration, Performance Tuning.
• Gain expertise in Kafka Client APIs like Producer, Consumer and Stream APIs, Kafka Administration, Kafka Connect API and Kafka Integration with Hadoop, Storm and Spark using Twitter Streaming use case.
• Practice skills in resolving typical implementation challenges.
• Integrate Kafka with real time streaming systems like Spark & Storm.
• Describe the basic and advanced features involved in designing and developing a high throughput messaging system.
• Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter.
• Get an insight of Kafka API.
• Understand Kafka Stream APIs.
• Work on a real-life project,Implementing Twitter Streaming with Kafka, Flume, Hadoop & Storm.
• Prepare for Apache Kafka Administrator certification.
• Certificate of completion from Acceleratron after finishing the full Kafka course.