Edoxi’s 30-hour online Apache Kafka course is designed for professionals and organisations seeking practical expertise in distributed event streaming and messaging systems. This Apache Kafka training is suitable for beginners with basic programming knowledge in Python, Java, or Node.js, as well as experienced professionals familiar with distributed systems. The course structure accommodates all skill levels while focusing on building scalable, real-time data pipelines and event-driven architectures used across industries worldwide.
Throughout the Apache Kafka certification course, you gain hands-on experience through practical labs and real-world projects. You can work with multi-language implementations using Python, Node.js, and Java, and apply Kafka to real-time use cases such as activity tracking, fraud detection, IoT sensor data processing, and playback analytics. Training mirrors real enterprise environments, helping you understand Kafka’s flexibility and cross-industry relevance.
By the end of the Apache Kafka certification, you can develop the ability to design and implement high-throughput, fault-tolerant streaming solutions. Corporate-focused Apache Kafka training paths address specific business needs while covering Kafka architecture, security configurations, and deployment strategies. These skills prepare you to build reliable real-time data pipelines and streaming applications relied upon by global organisations across technology, finance, e-commerce, media, and IoT sectors.
You can build Kafka producers and consumers using Python (Kafka-Python), Node.js (KafkaJS), and Java (Kafka API). You can also strengthen your data pipeline skills across different technology stacks through hands-on practice.
You can set up Kafka clusters in containerised environments using Docker. You can also simulate real-world distributed systems with multiple brokers for seamless local development and testing.
You can deploy Kafka workflows on major cloud platforms, including AWS, Azure, and GCP. You can also gain practical skills in building cloud-native streaming applications using managed Kafka services.
You can join live troubleshooting sessions for Kafka producer-consumer workflows. You can also solve common issues in distributed messaging systems and sharpen your debugging abilities.
You can work on real-world scenarios to design fault-tolerant Kafka clusters. You can also determine optimal partitioning strategies and plan disaster recovery setups through collaborative exercises.
You can apply everything you’ve learned in a complete, end-to-end Kafka implementation. You can also build streaming data pipelines, real-time analytics, and microservices communication and deliver a production-ready solution that reflects real enterprise needs.
If you are a professional with programming experience in Python, Java, or Node.js, and are looking to implement event-driven architectures and microservices in your organisation.
If you are a technical staff member working with data pipelines, ETL processes, or analytics systems, and are seeking to enhance your skillset with real-time streaming capabilities.
If you are an engineer responsible for maintaining high-availability systems who needs to design, deploy, and monitor resilient Kafka clusters in production environments.
If you are a decision-maker evaluating distributed messaging solutions for enterprise applications, and require a hands-on understanding of Kafka architecture.
If you are a cross-functional department implementing data streaming solutions for business intelligence, customer analytics, or operational monitoring.
If you are an individual with basic programming knowledge, interested in learning distributed systems concepts and real-time data processing frameworks.
Edoxi’s 40-hour Apache Kafka training offers hands-on, real-world projects to build practical streaming and event-driven application skills. The projects include the following
In this project, you can stream financial data in real-time to detect anomalies using Python and Node.js.
In this project, you can use Java Streams API to process and monitor real-time data collected from IoT devices.
In this project, you can stream stock market data using Node.js, KafkaJS and build a live data visualisation dashboard.
In this project, you can use Node.js and Java for tracking customer orders, inventory updates, and generating real-time analytics reports.
Completing Edoxi’s 40-hour Apache Kafka Training empowers your technical teams with the hands-on skills required to build scalable, real-time data pipelines effectively. Here are the Major Course Outcomes
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Here’s a four-step guide to becoming a certified Apache Kafka professional.
Join Edoxi’s Apache Kafka Course
Edoxi’s 40-hour online Apache Kafka training equips your team with the skills to build real-time data pipelines and event-driven architectures, with personalised guidance from industry experts. Here are reasons why organisations choose Edoxi
Edoxi operates from Dubai, Doha, and London, delivering Kafka training internationally. This global exposure brings diverse real-world implementation examples into the classroom from technology ecosystems worldwide.
Our Kafka training serves top-tier clients, including government entities and multinational enterprises. This experience ensures your team learns solutions that address real-world enterprise challenges and integration scenarios.
At Edoxi, you can complement your Kafka skills with related courses in Node.js, React.js, Python Django, and MongoDB. You can also build a full-stack technical skill portfolio rather than isolated knowledge.
Edoxi’s Apache Kafka course provides hands-on experience with Python, Node.js, and Java implementations. This multi-language approach ensures professionals can integrate Kafka seamlessly into their existing technology stack.
Edoxi helps configure development environments tailored to your team’s specific project requirements, so you can start implementing Kafka workflows immediately.
We offer ongoing support after course completion, including doubt resolution, career advice, and guidance on real-world project implementation to help your team confidently apply Kafka skills in professional settings.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Athar Ahmed
Athar Ahmed is a skilled technical trainer with more than 15 years of experience in both educational institutions and the software development business. Athar specialises in technology stacks including Advanced Excel, Python, Power BI, SQL, .NET, Java, PHP, Full Stack Web Development, Agile, Data Science, Artificial Intelligence, Data Analytics, and DevOps.
He holds several certifications and licenses that underscore his expertise in the field. These include MCTS (Microsoft Certified Technology Specialist), MCP (Microsoft Certified Professional), and a Certificate in Artificial Intelligence and Machine Learning for Business. He also completed a Certificate Course in Unix, C++, and C# from CMC Academy, among other qualifications.
Athar also holds a Bachelor of Computer Applications (BCA) and a Master of Computer Applications (MCA). Additionally, he earned a Master of Technology (M. Tech) in Machine Learning and Artificial Intelligence, as well as a Doctorate of Philosophy (PhD) in Computer Applications.
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