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Apache Kafka Training

Join Apache Kafka training covering Kafka, kubernetes, python, java, API with live instructor-led sessions. This 38+ hour programme is designed to help you understand Kafka's distributed log architecture and core abstractions. Placement assistance, mock interviews, and industry-recognised certification included.

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Apache Kafka Training

38+

Hours

7

Modules

14

Topics

4.7

Rating

New

Batches weekly

About Apache Kafka Training

Join Apache Kafka training covering Kafka, kubernetes, python, java, API with live instructor-led sessions. This 38+ hour programme is designed to help you understand Kafka's distributed log architecture and core abstractions. Placement assistance, mock interviews, and industry-recognised certification included.

What This Training Covers

The Apache Kafka Training programme at Tutorsbot spans 38+ hours across 7 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Data Engineering industry expectations and hiring patterns.

Enrollment & Training Quality

Apache Kafka Training is available in 4 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.

Course Curriculum

7 modules · 14 topics · 38 hrs

01

Kafka Architecture

7 topics

  • Kafka core concepts — Topics, partitions, offsets, brokers, and the commit log
  • ZooKeeper vs KRaft — Kafka's transition to controller quorum without ZooKeeper
  • Producers — Batch sending, acks, retries, idempotency, and partitioner
  • Consumers — Consumer groups, partition assignment, and offset management
  • Brokers and replication — Leader election, ISR, and replication factor
  • Kafka cluster deployment — Single vs multi-broker and rack-aware assignment
  • Kafka on Kubernetes — Strimzi Operator for CRD-based Kafka clusters
02

Producers and Consumers

7 topics

  • Python Kafka-python — Creating producers with serializers and delivery callbacks
  • Confluent Python client — High-performance librdkafka-based Python client
  • Java KafkaProducer — Properties, serializers, and ProducerRecord API
  • Consumer polling loop — poll, commitSync, commitAsync, and offset strategies
  • At-least-once vs exactly-once — Transaction API for EOS processing semantics
  • Consumer group rebalancing — Partition assignment and rebalance listeners
  • Kafka CLI tools — Kafka-console-producer, Kafka-console-consumer, and Kafka-topics
03

Topic Configuration

Topics included

4 more modules available

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Salary & Career Outcomes

What Apache Kafka Training graduates earn across roles and cities

50%

Average salary hike after course completion

42 days

Median time to job offer after graduation

Target Roles & Salary Ranges

Data Engineer

0-2 years

₹5L - ₹10L

TCSInfosysHCL

Senior Data Engineer

2-5 years

₹12L - ₹26L

FlipkartWalmart LabsAmazon

Data Architect

5+ years

₹22L - ₹45L

GoogleMicrosoftDatabricks

Salary by City & Experience

CityFresherMid-LevelSenior
Bangalore₹7L₹18L₹38L
Hyderabad₹6L₹15L₹30L
Pune₹5.5L₹14L₹28L
Chennai₹5L₹13L₹26L

Career Progression

Fresher

Data Engineer

After completing the course with projects

Data Engineer

Senior Data Engineer

2-3 years of hands-on experience

Senior Data Engineer

Data Architect

5+ years with leadership responsibilities

Enrol in This Course

All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Sept 2026.

✓ 7-day refund guarantee✓ Same certificate for all formats✓ Lifetime access to recordings

Online Live

Live instructor-led sessions from anywhere, with recordings for catch-up.

₹28,000incl. GST

GST ₹4,271 included

EMI from ₹4,667/mo

or

Tools & Technologies

Hands-on with the production stack used in Apache Kafka Training

Version Control

GGit

IDE

VVS CodeJJupyter

Language

PPython

Database

SSQL

About Apache Kafka Training at TutorsBot

TutorsBot's Apache Kafka course builds complete event streaming engineering skills across 38 hours — distributed log architecture, producers and consumers, topic configuration, Kafka Streams, and Kafka Connect for end-to-end integration. It's available as TutorsBot's flagship Apache Kafka Training programme, with live online and classroom batches running weekly. Backend and data engineers at event-driven companies in Bangalore, Hyderabad, and Pune are expected to know Kafka as a standard skill — not a niche specialisation. Batches cap at 24. If your team builds microservices and you don't understand Kafka's exactly-once semantics, you're one misconfigurations away from a data consistency incident.

Why Apache Kafka? The Numbers Don't Lie

Kafka engineers in India earn 16–32 LPA. Kafka is the infrastructure layer for event-driven architecture at virtually every large Indian fintech, e-commerce, and SaaS company. Backend engineers who understand Kafka deeply — not just how to produce and consume messages, but how to configure topics, manage consumer group offsets, and design for exactly-once delivery — are consistently better paid than those who don't. Senior Kafka engineers who can design the streaming architecture, not just use it, reach 28–40 LPA. The tool is ubiquitous; the genuine expertise is not.

Trained by Working Event Streaming Engineers

Our Kafka trainers have 12–18 years in distributed systems, backend engineering, and event streaming — practitioners who've designed Kafka architectures for fintech and e-commerce companies in Bangalore and Hyderabad, managing clusters of 50+ brokers handling billions of messages per day. They've debugged consumer lag, offset reset disasters, ISR shrinkage under load, and exactly-once transaction semantics under production failure scenarios. Small batches of 24. Consumer group rebalancing and offset management problems sink production systems — our trainers have lived through those incidents and know exactly how to prevent them.

Certification That Gets You Hired

TutorsBot's Apache Kafka Engineer Certificate aligns with Confluent Certified Developer for Apache Kafka (CCDAK) exam objectives. The certification requires completing an end-to-end pipeline: producer with custom partitioner, Kafka Streams topology with stateful aggregation, and Kafka Connect sink to a database — deployed on a real cluster. Employers searching for Apache Kafka Certification Training holders find TutorsBot graduates consistently among the best-prepared candidates. Kafka interviewers ask about exactly-once semantics, compacted topics, and consumer group rebalancing — graduates of this course answer those fluently.

Apache Kafka Jobs: Market Demand in 2026

Kafka is the most widely adopted event streaming platform in Indian tech. Backend and data engineering roles requiring Kafka expertise grew 85% in India between 2023 and 2026. Engineers with deep Kafka knowledge in Bangalore, Hyderabad, and Pune earn 16–32 LPA. Kafka Connect and Kafka Streams specialists command premiums over basic producer/consumer competence. Every microservice architecture at scale eventually runs on Kafka — the demand doesn't slow as long as distributed systems keep being built.

Who Should Join This Course

Java or Python proficiency is required — Kafka client libraries need a programming language to use. Understanding of distributed systems concepts (networking, TCP/IP basics, message queuing) helps significantly. Basic Linux command line comfort for cluster operations. No prior Kafka experience needed. Backend engineers, data engineers, and DevOps professionals building event-driven systems are the primary audience. The 38-hour depth enables coverage of every Kafka component — from producer API to Kafka Connect transformations — that production engineers encounter.

What You'll Actually Be Able to Do

You'll configure and manage Kafka topics with right retention, partition count, and replication factor for specific use cases. You'll write producers with custom partitioners and consumers with offset management and rebalance handling. You'll build Kafka Streams topologies with stateful aggregation, joins, and windowing. You'll configure Kafka Connect source and sink connectors with SMTs. You'll implement exactly-once transactions. Could you design Kafka architecture for a new event-driven microservice system and explain every configuration decision? After this course, yes.

Tools You'll Work With Every Day

Apache Kafka, Schema Registry, Kafka Streams, Kafka Connect with JDBC and S3 connectors, AVRO and Protobuf serialisation, the Java and Python Kafka client libraries, Prometheus and Grafana for Kafka monitoring, and Kafka on Kubernetes with Strimzi Operator for cloud deployment are all covered. Why Schema Registry and AVRO? Because production Kafka without schema management leads to schema drift that breaks consumers silently — that's the real-world mistake the course prevents.

Roles You Can Apply For After Training

Kafka Engineer, Backend Engineer — Event Streaming (16–32 LPA), Data Engineer — Real-Time Ingestion, Site Reliability Engineer at Kafka-heavy companies, Platform Engineer, Distributed Systems Engineer, and Kafka architecture consultant roles. Bangalore, Hyderabad, and Pune dominate hiring. Roles matching Apache Kafka Training with Placement are actively listed on Naukri, LinkedIn, and Glassdoor with consistent demand across major Indian cities. Kafka plus Flink is the highest-value streaming combination for data engineers; Kafka plus microservices architecture knowledge is the highest-value backend combination — both paths open from this course.

Real Students, Real Outcomes

Rajan, a 5-year backend engineer from Bangalore, completed this course and moved from a generalised Java developer role to a dedicated event streaming engineer position — a 12 LPA jump. Priya, a data engineer from Hyderabad, used Kafka Streams knowledge from this course to build a real-time fraud detection microservice that her team had been planning for six months without implementing — she had it running in production within two weeks of finishing. Over 540 engineers have completed TutorsBot's Kafka track. Most common feedback: 'The exactly-once transactions and consumer group rebalancing modules are what makes this course production-ready — those are the things that actually break in real systems.'

What You Get After Completion

Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.

Industry-Recognised Certificate

Earn a verified Tutorsbot certificate for Apache Kafka, validated through project submissions and assessments.

LinkedIn-importable·Permanent shareable URL·PDF download included

Portfolio of Real Projects

Build production-grade projects reviewed by your instructor. Walk through them in any technical interview.

Instructor code-reviewed·GitHub-hosted portfolio·Interview-ready demos

Placement & Career Support

Dedicated career coaching: resume reviews, mock interviews, LinkedIn optimisation, and introductions to hiring partners.

1-on-1 career coaching·Mock interview rounds·Employer connect programme

Hands-On Lab Experience

Practical assignments and lab exercises that simulate real-world scenarios, ensuring you can apply skills from day one.

Cloud lab environments·Scenario-based exercises·Peer collaboration

Meet Your Instructor

Every Apache Kafka Training batch is led by a practitioner who teaches from production experience, not textbooks.

S

Siddharth Joshi

Verified

Senior Data Engineer

10+ yrs experience·Worked at Flipkart, Walmart Labs, Amazon, Fractal Analytics

Data engineering lead with 10+ years building scalable ETL pipelines, data lakes, and real-time streaming systems.

How We Teach

  • Concepts start with a real problem so theory lands in context
  • Projects reviewed the way a senior colleague reviews pull requests
  • Every topic includes the kind of questions you'll face in interviews
Hire Trained Talent

Hire Apache Kafka Trained Professionals

Our Apache Kafka graduates come with verified project experience, industry-standard skills, and are ready to contribute from day one.

Why hire from us

Project-Verified Skills

Assessment-Backed Hiring

Placement-Ready Talent

Project-based portfolios available

IT Training in Major Cities

Frequently Asked Questions

Everything you need to know about Apache Kafka Training, answered by our training experts

1What is the fee for Apache Kafka training at TutorsBot?
Apache Kafka training at TutorsBot costs between ₹30,000 and ₹48,000 for the full 38-hour programme. That covers all six modules — architecture through Kafka Connect — hands-on cluster labs, Kafka Streams projects, and the Confluent CCDAK-aligned certification assessment. Kafka engineers in Bangalore and Hyderabad earn 16–32 LPA. Given that depth of content and the salary outcomes, the fee is proportionate.
2What salary can I expect after Apache Kafka certification?
Kafka engineers earn 16–32 LPA in India. Mid-level backend and data engineers with solid Kafka expertise in Bangalore, Hyderabad, and Pune hit 18–26 LPA. Senior Kafka architects who design streaming topologies and own Kafka infrastructure reach 28–40 LPA at fintech and e-commerce companies. Engineers with Confluent CCDAK certification command premiums. Entry-level roles with basic producer/consumer knowledge start at 8–12 LPA, but deep Kafka expertise is what moves you significantly up that range.
3What topics are covered in the Apache Kafka syllabus?
The syllabus covers Kafka's distributed log architecture, broker configuration, topic management (replication, partitioning, retention), producer API with custom partitioners, consumer API with offset management and rebalancing, consumer groups, Kafka Streams with stateful transformations and windowed aggregations, Kafka Connect with JDBC source and S3 sink connectors, Schema Registry with AVRO serialisation, and exactly-once transactions. 38 comprehensive hours.
4How long does Apache Kafka training take to complete?
38 hours total. Weekend batches run over 16 Saturdays — roughly 4 months. Weekday evening batches finish in 12–13 weeks. The capstone — an end-to-end event streaming pipeline with Kafka Streams, Schema Registry, and Connect — adds 8–12 hours outside class. It's a substantial commitment, but 38 hours is what it takes to cover Kafka properly from architecture to production deployment. The depth is the value.
5Is Apache Kafka a good choice for freshers with no experience?
With programming and distributed systems basics, yes. Engineering graduates with Java or Python proficiency who've studied network fundamentals can start here. Several companies in Bangalore and Hyderabad hire freshers specifically for Kafka-focused data engineering roles at 8–12 LPA. The 38-hour length means there's enough time to build proper foundations — it's not a course that assumes deep experience. However, the content moves quickly; come with solid Java or Python and don't expect it to be easy.
6What are the prerequisites for Apache Kafka training?
Java or Python proficiency is required — you'll write producers, consumers, and Kafka Streams applications throughout. Basic Linux command line for cluster operations. Understanding of distributed systems concepts (TCP/IP, message queuing, fault tolerance) is helpful. No prior Kafka experience needed. Backend engineers, data engineers, and DevOps professionals building event-driven systems are the core audience. Docker basics help for the multi-broker cluster setup but aren't strictly required.
7What job roles are available after completing Apache Kafka training?
Kafka Engineer, Backend Engineer — Event Streaming (16–32 LPA), Data Engineer — Real-Time Ingestion, Site Reliability Engineer at event-driven companies, Platform Engineer, Confluent Platform Administrator, and distributed systems architect roles. Bangalore, Hyderabad, and Pune have the densest hiring. Fintech, e-commerce, and ride-sharing platforms hire Kafka engineers year-round. Every microservices architecture at scale eventually uses Kafka — the demand doesn't shrink.
8Is Apache Kafka certification worth it in 2026?
Absolutely. Kafka is infrastructure-level — it doesn't go out of fashion. It's in the architecture of virtually every large-scale Indian tech company. The Confluent CCDAK certification this course prepares you for is the most recognised Kafka credential in India's hiring market. Engineers who know Kafka Streams and Schema Registry deeply — not just producer/consumer basics — are in short supply and paid accordingly. 38 hours is a real investment; the return is consistent and durable.
9What is the scope and future demand for Apache Kafka professionals?
Strong and durable. Event-driven architecture is mainstream. Real-time streaming requirements are growing in every sector. Kafka is the infrastructure layer for microservices communication, fraud detection, real-time analytics, and ML feature pipelines at scale. Confluent continues expanding adoption in Indian enterprise. The supply of engineers who genuinely understand Kafka's consistency model, exactly-once semantics, and Streams API — not just configuration — remains well below demand.
10Can working professionals complete Apache Kafka training alongside their job?
Yes, but 38 hours demands consistent planning. At 4 hours per Saturday, it's a 16-week weekend commitment. The Kafka Streams module needs active lab coding between sessions — plan for 3–5 hours of practice per week. Cluster labs run locally on Docker Compose; no major setup cost. Working backend and data engineers in our Bangalore batches consistently complete the programme. The key is maintaining Saturday attendance and not letting lab practice lapse during the Streams and Connect modules.

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