About Course
About Apache Kafka Engineering Training
The National Capital Region outside the capital runs corporate data estates. Multinationals in Gurugram and Noida run group data platforms, finance operations centres and product analytics teams with reporting lines to a parent in another country. Semiconductor and electronics operations add supply-chain, yield and equipment data, and IT services delivery centres build and maintain the pipelines their clients depend on, often under a contract that specifies uptime and support hours.
For candidates this is the corporate data market of the region, and it is different from the one inside the city proper. Product analytics teams want experimentation platforms and metric definitions that survive a disagreement. Operations centres want reporting that reconciles to a client's books, and delivery centres want engineers who can work inside a client's own governance without a large in-house platform team.
This Delhi NCR page carries the same 12-week, 72-hour Apache Kafka Engineering Training syllabus, faculty and assessment as the master programme, delivered live online and in hybrid format, with classroom batches at our Thoraipakkam centre.
Course Overview
12-week Apache Kafka training (72 hours) on the KRaft metadata quorum, consumer rebalancing, transactions, Connect, tuning, ACLs and monitoring.
Why Learn Apache Kafka Engineering Training
Group platforms here enforce one metric definition across many countries, and a candidate who has argued that argument with documentation wins the role.
Semiconductor supply chains generate traceability data with export obligations, and engineers who have built that record trail are in short supply here.
Delivery centres in Noida are measured on contract terms, so a candidate who can point to a documented incident process is hired ahead of a generalist.
Where data engineering roles are hired in Delhi NCR
- Group data platforms in multinational corporate campuses
- Semiconductor and electronics supply-chain data teams
- IT services delivery and managed data operations
- BFSI operations centres and product analytics groups
Demand drivers behind Delhi NCR data engineering hiring
- Group-level metric standards that must be applied across countries
- Supplier, yield and traceability data across electronics value chains
- Contractual uptime and support windows written into delivery agreements
- Reconciliation of operations reporting against client financial records
Who Should Join This Course
- Backend Engineers Running Broker Clusters — Taking the broker and its storage model well past the tutorial
- Data Engineers Building Event Pipelines — Reasoning about offsets, ordering and failure on the log itself
- Operations and SRE Teams — Owning capacity, lag and the on-call rotation for a streaming platform
- Java and JVM Engineers — Using the client libraries and the Connect protocol properly
- Consultants Migrating to Kafka — Planning the move off ZooKeeper onto the KRaft quorum
- Fresh Graduate Trainees — Entering streaming infrastructure work with depth on the log
Prerequisites
You should be comfortable with a command line, a JVM process and basic networking. Apache Kafka is operated, not clicked, and the first module assumes you can read a log and reason about a consumer group. No Kafka experience is required.
Learning Objectives
- Explain what a record does to a partition and how the log is indexed on disk
- Stand up a KRaft cluster and recover a failed controller quorum
- Trace a consumer group rebalance and choose the right assignment strategy
- Configure producer idempotence and transactions for the guarantee you need
- Design a retention and compaction policy that matches how the topic is used
- Build a Connect sink with the Connect protocol and a dead letter topic
- Read the metrics that show a disk-bound, network-bound or consumer-bound cluster
- Reproduce and resolve a production failure in a timed troubleshooting exercise
Certification Objectives Covered
The syllabus follows the published Apache Kafka objectives: Apache Kafka, KRaft, MirrorMaker 2, SASL and TLS, Consumer Groups, JMX and Prometheus Metrics, and the objective-to-topic map for the practitioner assessment, the timed troubleshooting exercise and the exam-day plan.
Career Opportunities After This Programme
- Kafka Engineer
- Streaming Platform Engineer
- Site Reliability Engineer
- Data Platform Engineer
- Message Infrastructure Specialist
- Infrastructure Engineer
Hands-on Practice and Capstone
Capstone: You are given three empty machines and a requirement to run a keyed event stream for a billing service. You format the KRaft storage, form a three-broker quorum, and stand up a topic with replication factor three. You kill a broker mid-write, watch the in-sync replica set shrink, and restore it. You rebalance a consumer group to prove nothing is lost, add a sink connector with a dead letter topic, and finish with the runbook and capacity plan.
Production scenario: Throughput has halved since a disk was replaced, consumers are falling behind, and the team wants more brokers before the month-end billing run. Decide what you measure first, whether the bottleneck is disk, network or consumer side, and what you change on the broker if the fix must wait for the next maintenance window.
Course Duration, Mode and Certification
The course runs for 12 weeks (72 hours), three sessions a week of two hours each. Modes: Classroom / Live Online / Hybrid. Certificate issued: SkilBrill Course Completion Certificate. This programme prepares you for the Apache Kafka exam, which is booked and paid for with the vendor separately from the course fee.
Is classroom training available in Delhi NCR? Classroom batches run at our Thoraipakkam centre in Chennai. Learners in Delhi NCR join the same live online or hybrid cohort taught by the same faculty, with the same assessment and placement support.
Why Train at SkilBrill
SkilBrill Training Institute in Thoraipakkam focuses on making you employable. Trainers are working Kafka platform engineers and streaming infrastructure engineers, every module produces portfolio evidence rather than a completion badge, and the placement cell connects eligible candidates with hiring companies. Fee: ₹45,000 – ₹75,000. Enquire on +91 8610964691.
Career and Job Support
- Resume assistance tailored to the target role
- LinkedIn profile rewrite and recruiter outreach
- Mock interviews covering role scenarios
- Assessment and capstone walkthrough preparation
- Placement assistance with 200+ hiring partners
- Typical salary band after completion: ₹10 – 24 LPA
Frequently Asked Questions
What does the Apache Kafka course cover?
The course works through the mechanics of the open-source broker: how a record enters a partition and is indexed, replication and the in-sync replica set, the KRaft metadata quorum that replaced ZooKeeper in 4.0, consumer groups and rebalancing, delivery semantics with idempotence and transactions, the Connect protocol, MirrorMaker, tuning, security with SASL, TLS and ACLs, and the metrics that tell you what is wrong. It is a hands-on engineering course with no vendor exam attached.
How is this different from the Confluent certification course?
The Confluent course teaches a commercial platform and prepares you for a proctored vendor credential: Schema Registry subject rules, the managed Confluent Cloud offering, its networking and access model, and the six domains of the CCDAK exam. This course sticks to the Apache project and the job of operating it: broker internals, storage, replication, tuning and the failure modes you own at 3am. Nothing here depends on a Confluent licence or a Confluent exam.
Why does the course spend a module on KRaft?
Kafka 4.0 removed ZooKeeper entirely, so a quorum of controllers now holds the cluster metadata and there is no external coordination service to run. That changes how you bootstrap a cluster, how you add and replace a controller, and how you recover when metadata is lost. The module covers formatting storage, the combined and separated controller modes, snapshots and metadata log compaction, and a full quorum recovery exercise.
Is there an Apache Kafka certification exam?
There is not. The Apache Kafka project awards no certification of its own, and Confluent is a separate company with its own credential. This course is therefore assessed internally: a practical capstone, a timed troubleshooting exercise, and a written assessment of the runbook and tuning decisions you produce. If a hiring manager asks for a Kafka credential, the Confluent course is the one that carries a vendor badge.
What do I need to run the labs?
A machine with 16 GB of memory and three or four local hosts is enough, because the labs use a small cluster on loopback interfaces rather than a cloud account. You need a JDK to run the brokers, and comfort with a command line, a configuration file and a log file. We use the standard distribution scripts, so the same commands apply to a real cluster later.
What is the duration and fee?
Twelve weeks, three sessions a week of two hours each, totalling 72 hours, with the cluster work carried out alongside the sessions. Fees run from Rs 45,000 to Rs 75,000 depending on batch and mode, with classroom, live online and hybrid options and placement support through 200+ hiring partners. No paid cloud broker is required for any lab, which keeps the running cost of the course at zero.
What certificate do I receive?
A SkilBrill Course Completion Certificate for the full 72 hours of the programme, listing the modules completed and the cluster you built, broke and repaired. There is no vendor credential for open-source Kafka, so the certificate records the assessed work and the internal examination result. We assess your lab submissions and practical exercises; nothing here is issued by the Apache Software Foundation.
Is classroom training available in Delhi NCR?
No. SkilBrill's classroom runs only in Chennai. Learners in Delhi NCR join the same live online / hybrid cohort taught by the Chennai faculty, with proctored labs and the same placement support.
Which companies hire for these skills in Delhi NCR?
Learners in Delhi NCR typically target a mix of MNCs and startups such as HCL, TCS, Accenture, IBM. The programme's placement support applies equally to Delhi NCR learners.
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