Apache KafkaApache Kafka Training
Design and run event streaming systems with Apache Kafka in 24 hours of live online training
- Duration
- 24 hours
- Format
- Live online
- Modules
- 8 modules
- Certificate
- On completion
- ✓24 hours of live online instructor-led training in scheduled batches
- ✓Kafka architecture on KRaft mode: brokers, topics, partitions, replication
- ✓Producers, consumers, consumer groups and delivery semantics in code
- ✓Kafka Connect and Kafka Streams hands-on
- ✓Schema management with Avro or Protobuf and a schema registry
- ✓Security, monitoring and operations basics
About the course
What this course covers
Apache Kafka is the standard platform for streaming events between systems: payments, clickstreams, IoT telemetry and microservice communication. Kafka lets many consumers read the same ordered log at their own pace, and it has become a core part of modern data engineering and backend architectures.
This course takes you from first principles to a working streaming design. You will learn how topics and partitions give you ordering and parallelism, how replication and acknowledgements affect durability, how consumer groups balance load, and how idempotent producers and transactions give stronger delivery guarantees. Labs use current Kafka, which runs without ZooKeeper in KRaft mode, and cover Kafka Connect for moving data in and out of databases, Kafka Streams for stream processing, and schema evolution.
The course prepares you for hands-on work and provides a base for the Confluent Certified Developer for Apache Kafka exam, which is an optional external credential. We teach open-source Apache Kafka concepts, with notes on Confluent platform features where they matter.
Who should attend
- ● Backend developers building event-driven microservices
- ● Data engineers building real-time pipelines
- ● Hadoop and Spark developers adding streaming skills
- ● Solution architects designing integration platforms
- ● DevOps engineers who will operate Kafka clusters
Prerequisites
- Programming experience, preferably in Java or Python
Key skills
Skills you will walk away with
Kafka architecture
Explain brokers, topics, partitions, replicas, leaders, ISR and the KRaft controller quorum.
Producer design
Configure acks, retries, batching, idempotence and partitioning strategy for throughput and durability.
Consumer design
Use consumer groups, offset management, rebalancing and error handling correctly.
Delivery semantics
Choose between at-most-once, at-least-once and exactly-once processing and know the trade-offs.
Kafka Connect
Move data between Kafka and databases or files using source and sink connectors.
Stream processing
Build stateful processing with Kafka Streams including joins, windows and aggregations.
Curriculum
Module-by-module syllabus
8 modules · 32 topics · 24 hours
1Module 1: Event Streaming Fundamentals4 topics ▾
Learning objective: Understand why Kafka exists.
- ▸ Messaging vs event streaming
- ▸ Commit log model, topics and partitions
- ▸ Use cases: CDC, metrics, microservices
- ▸ Setting up Kafka locally with Docker
2Module 2: Kafka Architecture4 topics ▾
Learning objective: Know the internals that matter for design.
- ▸ Brokers, leaders, followers and ISR
- KRaft mode and the controller quorum
Schedules
Upcoming live batches
Enroll now and choose your batch dates
Send an enquiry and we'll reserve your seat in the next batch.
Certification
How you get certified
Confluent
Confluent Certified Developer for Apache Kafka (CCDAK) - optional external exam
Apache Kafka- Format
- Online proctored exam with multiple-choice and other question formats
- Questions
- See the current figure on the official site
- Duration
- See the current figure on the official site
- Passing score
- See the current figure on the official site
- Exam fee
- See the current figure on the official site
- Delivery
- Online proctored
- Validity & renewal
- See the current figure on the official site
- 1Enrol in the 24-hour live online batch
Career outcomes
Roles this opens up
Kafka / Streaming Engineer
₹10–24 LPA (approx.)Builds and runs event streaming platforms and pipelines.
Data Engineer (Streaming)
₹8–22 LPA (approx.)Creates real-time ingestion and processing jobs.
Backend Engineer (Event-driven)
₹8–22 LPA (approx.)Designs microservices that communicate via events.
Platform / SRE Engineer
₹12–28 LPA (approx.)Operates Kafka clusters and keeps latency and lag within targets.
Salary ranges are approximate figures for India and vary by city, company and experience.
Why this certification is worth it
In-demand integration skill
Kafka appears in many data and backend job descriptions in banking, fintech and e-commerce.
Why Assure Success
Learn it once, pass it once
Trainers from the field
Every session is led by a practitioner who uses this material at work.
Batches that fit your week
Weekday and weekend batches in IST, scheduled for working professionals.
Exam-style practice
Practice questions and, where available, a full simulator free with the course.
Exam voucher help
Discounted vouchers and step-by-step help booking your exam.
Human support
WhatsApp support Mon–Sat, 9 AM–8 PM IST — a person answers.
Pay your way
UPI, cards, netbanking and EMI in India; international cards accepted.
FAQs
Questions learners ask us
Q.Is the Confluent exam included in the course fee?
No. The exam is an optional external credential booked and paid for directly with Confluent. The course covers the concepts and skills it tests but does not guarantee a pass.
Q.Does the course use ZooKeeper?
No. Current Kafka versions run in KRaft mode without ZooKeeper, and that is what we use. We briefly explain ZooKeeper so you can read older documentation and work on legacy clusters.
Q.Which programming language is used?
Java for Kafka Streams and most client examples, with Python examples for producers and consumers. Your batch will confirm the languages.
Q.Is Kafka only for big companies?
No. Teams of all sizes use it for event-driven integration, but you should know when a simpler queue is enough. We discuss when not to use Kafka.
Q.Do I need Hadoop knowledge?
No, Kafka is independent of Hadoop.
Q.Will I learn about Apache Flink or Spark Streaming?
We use Kafka Streams for stream processing and show how Spark reads from Kafka at an overview level.
Can DevOps engineers benefit?
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Apache Kafka Training