Apache Kafka
Develop the skills to build a producer-consumer workflow with replay through a learning path centred on Apache Kafka. Explore concepts, guided practice and an applied project.
Build practical Apache Kafka skills.
Skills and knowledge developed in this course.
- Kafka architecture
- Producer design
- Consumer operation
- Platform integration
- Applied project: Build a producer-consumer workflow with replay
- Apache Kafka — validation and review
About this course
This course develops practical capability in Apache Kafka. Its course-specific content covers Kafka architecture, Producer design, Consumer operation, Platform integration, followed by an applied project focused on build a producer-consumer workflow with replay. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with Apache Kafka or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of data engineering & analytics. Prior experience with the named product helps with the practical exercises.
Build a producer-consumer workflow with replay
Deliver build a producer-consumer workflow with replay. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Kafka architecture
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- Brokers, topics and partition logs
- KRaft metadata and replication concepts
Practical exerciseApply kafka architecture to the build a producer-consumer workflow with replay and capture the validation evidence.
02Producer design
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- Keys, batching and acknowledgements
- Retries, ordering and delivery trade-offs
Practical exerciseApply producer design to the build a producer-consumer workflow with replay and capture the validation evidence.
03Consumer operation
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- Groups, offsets and rebalancing
- Replay, commit strategy and processing failures
Practical exerciseApply consumer operation to the build a producer-consumer workflow with replay and capture the validation evidence.
04Platform integration
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- Retention, schemas and connectors
- ACLs, monitoring and recovery scenarios
Practical exerciseApply platform integration to the build a producer-consumer workflow with replay and capture the validation evidence.
05Applied project: Build a producer-consumer workflow with replay
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- Define inputs, assumptions and acceptance criteria for: Build a producer-consumer workflow with replay.
- Implement the project using kafka architecture, producer design, consumer operation, platform integration.
Practical exerciseBuild a producer-consumer workflow with replay.
06Apache Kafka — validation and review
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- Demonstrate the completed project against its acceptance criteria.
- Exercise an invalid-input or failure scenario and document the observed result.
Practical exercisepresent the project evidence, limitations and a repeatable handover.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Kafka architecture · Producer design
Establish the Apache Kafka scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Consumer operation · Platform integration
Apply the core Apache Kafka techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for build a producer-consumer workflow with replay. - 04Learning milestone 4 In progress
Deliver the applied project
Complete build a producer-consumer workflow with replay, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Data Engineer | ₹8–15 LPA | ₹17–28 LPA | ₹29–50 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗