Confluent Kafka Online Training in Hyderabad and Bangalore
Confluent Kafka Online Training
A Confluent Kafka Online Training in Hyderabad and Bangalore course is a structured training program designed to teach you how to build, deploy, and manage real-time data streaming applications using Apache Kafka and the Confluent Platform. Confluent Kafka Online Training typically covers core concepts such as Kafka architecture, producers and consumers, topics/partitions, stream processing with Kafka Streams and ksqlDB, as well as enterprise features like Schema Registry, Connectors, monitoring, security, and Confluent Cloud. Whether delivered online or in-person, the course blends theory with hands-on labs, giving you practical experience in setting up pipelines, integrating with databases and cloud services, and optimizing performance. Completing a Confluent Kafka course helps professionals deepen their data streaming expertise, stand out in the job market, and apply modern event-driven design patterns in real-world projects.
Who can learn Confluent Kafka :
Anyone involved in building, managing, or analyzing data systems can learn Confluent Kafka — especially Data Engineers, Backend Developers, DevOps/SREs, Cloud Engineers, Big Data professionals, Software Engineers, and Analytics engineers. It’s also useful for students and IT professionals who want to work with real-time, event-driven architectures and streaming data platforms.
In 2026, professionals in Hyderabad and Bangalore are increasingly choosing Confluent Kafka because both cities’ technology ecosystems are embracing real-time, event-driven data architectures to power everything from fintech and e-commerce to AI-enabled analytics and cloud-native applications. Confluent’s enterprise-grade streaming platform builds on Apache Kafka with managed cloud options, built-in security, schema governance, and observability, making it easier for teams to deploy and operate at scale without the heavy overhead of managing raw clusters. This aligns well with the demand in Hyderabad and Bangalore for scalable, low-latency data pipelines that support live insights, personalization, and automated decisioning. With strong hiring demand for Kafka and Confluent skills, better integration with modern data stacks, and active local communities around streaming technologies, engineers and data practitioners in both cities see Confluent Kafka as both a strategic platform choice and a valuable career differentiator.
Confluent Kafka Course Content
Below is a deep dive into each module, showing how it helps IT professionals become production-ready Confluent Kafka Online Training experts.
Module 1: Introduction to Kafka
What is Kafka?
Apache Kafka is a distributed event streaming platform used to build:
- Real-time pipelines
- Streaming analytics
- Event-driven architectures
Kafka enables high throughput, fault tolerance, and scalability, making it ideal for Hyderabad and Bangalore’s fast-growing tech ecosystem.
Kafka Features and Terminologies
In this module, learners understand:
- Event streaming fundamentals
- Pub-Sub messaging
- Durability and fault tolerance
- Horizontal scalability
Key terminologies covered:
- Topics
- Partitions
- Brokers
- Producers
- Consumers
- Offsets
High-Level Kafka Architecture
We explain Kafka architecture using real Bangalore company use cases, covering:
- Producer → Broker → Consumer flow
- Cluster setup
- Data replication
- Leader and follower partitions
Real-Life Kafka Case Studies
You’ll analyze:
- How fintech companies process payments
- How e-commerce platforms track user events
- How SaaS companies stream logs and metrics
This helps the professionals connect theory with production reality.
Module 2: Kafka Components – Theory
Broker
Learn how Kafka brokers:
- Store and serve data
- Handle replication
- Manage partitions
Controller
Understand:
- Leader election
- Cluster metadata management
- Failover scenarios
Topics and Partitions
Learn how partitioning enables:
- Parallelism
- Scalability
- High throughput
Replication
We explain:
- Replication factor
- ISR (In-Sync Replicas)
- Fault tolerance strategies used in enterprises
Producer & Consumer
Deep dive into:
- Producer acknowledgments
- Consumer groups
- Load balancing
Module 3: Confluent Kafka Single-Node Installation (KRaft Mode)
Linux Environment Setup and Pre-Requisites
This module prepares you for real DevOps-style installations:
- Linux basics
- JVM requirements
- OS tuning
Code Download (Confluent Community)
Learn how to:
- Download Confluent Platform
- Understand directory structure
Single Broker Installation
Hands-on setup of:
- Kafka broker
- KRaft mode (Zookeeper-less Kafka)
Kafka Broker and Controller Configuration
Understand:
- Broker roles
- Controller setup
- Systemd service configuration
This is extremely important for Bangalore DevOps and platform engineers.
Module 4: Kafka Administration Using CLI
Topics
Learn how to:
- Create topics
- Describe topics
- Delete topics
Replication Factor
Understand how replication impacts:
- Data safety
- Performance
Partitions
Hands-on practice with:
- Partition creation
- Scaling partitions
Console Producer & Consumer
Real-time message publishing and consumption demos.
Consumer Groups
Learn:
- Group coordination
- Rebalancing
- Lag monitoring
Resetting Offsets
A critical real-world skill used in:
- Data reprocessing
- Bug fixes
- Recovery scenarios
Module 5: Kafka Administration Using GUI Tools
Offset Explorer (Kafka Tools)
Learn how Bangalore enterprises use GUI tools to:
- Monitor topics
- Inspect messages
- Debug consumer lag
This module is very helpful for support, SRE, and production teams.
Module 6: Kafka Topic Partition Reassignment
Two-Broker Kafka Cluster Setup
Hands-on:
- Multi-broker configuration
- Cluster testing
Topic Partition Re-Assignment
Learn:
- Why reassignment is needed
- How to move partitions safely
- Load balancing strategies
This is a must-have skill for senior Kafka administrators.
Module 7: Kafka Configurations
Broker-Level Configurations
Detailed coverage of:
- retention.hours
- max.bytes
- create.topics.enable
Understand how these settings affect:
- Disk usage
- Performance
- Data retention policies
Topic Configurations
Learn how to:
- Change topic configs dynamically
- Manage retention time and size
Log Cleanup Policies
Delete Policy
- Time-based retention
Compact Policy
- Key-based compaction
- Event sourcing use cases
This module is heavily used in companies.
Module 8: Kafka Connect
Kafka Connect & Schema Registry Usage
Learn how Kafka Connect simplifies:
- Data integration
- Source and sink connectors
Building a Connector Using JSON
Hands-on creation of:
- Connector configuration files
File Stream Source Connector (Distributed Mode)
Real-world demo:
- Distributed workers
- Fault tolerance
Connector Lifecycle Management
Learn how to:
- Start
- Stop
- Pause
- Resume connectors
This module is critical for data engineers.
Module 9: Schema Registry
Why Schema Registry Matters
Learn:
- Data compatibility
- Schema evolution
Building Avro Schemas
Hands-on:
- .avsc files
- Avro serialization
Kafka Avro Console Producer & Consumer
Real-time demos using:
- Avro producers
- Avro consumers
This is mandatory for enterprise Kafka pipelines.
Module 10: Kafka REST API
Understanding REST API
Learn how REST Proxy enables:
- HTTP-based Kafka access
- Integration with non-Java systems
Configuring REST API
Hands-on:
- Setup
- Configuration
Kafka Topic Endpoints
Use REST API to:
- Create topics
- Produce messages
- Consume messages
Module 11: Kafka SSL Security
Encryption – SSL/TLS Setup
Learn how Bangalore enterprises secure Kafka:
- SSL certificates
- Encryption in transit
Authentication
Understand:
- Client authentication
- Broker authentication
Authorization (ACL)
Hands-on with:
- Access Control Lists
- User permissions
Security knowledge is highly valued in enterprise environments.
Why Professionals Prefer AarushIT for Confluent Kafka Online Training
Key Advantages
- 100% practical training
- Real-time production scenarios
- Trainer-led live online classes
- Flexible batch timings
- Lifetime access to recordings
- Interview-oriented preparation
Who Can Join?
- Working professionals in Bangalore
- Freshers aspiring for data engineering roles
- Backend developers
- DevOps & cloud engineers
- Big data professionals
Career Opportunities After Kafka Training
After completing this course, you can apply for:
- Kafka Administrator
- Data Engineer
- Streaming Platform Engineer
- Backend Developer
- DevOps Engineer
- Cloud Data Engineer
Salary Trends – Kafka professionals earnings :
- Freshers: ₹6 – ₹10 LPA
- Experienced: ₹15 – ₹30+ LPA
Conclusion: Become a Kafka Expert with AarushIT Online Software Training
If you are working or planning to work in competitive IT market, mastering Confluent Kafka is a career-defining move.
AarushIT offers the best Confluent Kafka Online Training, combining:
- Real-time industry use cases
- Hands-on labs
- Expert mentorship
Enroll today and future-proof your career with real-time data streaming expertise.
Contact AarushIT– Start Your Confluent Kafka Career Today
If you are a working professional, fresher, or career switcher looking to build a strong career in Confluent Kafka and real-time data streaming, this is the right time to take action. AarushIT offers industry-focused, hands-on Confluent Kafka Online Training with expert guidance, real-time projects, and flexible online batches designed for IT professionals.
📞 Call or WhatsApp us now at +91-9885596246 or +91-7893762206 to get complete course details, batch timings, demo session information, and career guidance. Our team will help you choose the right learning path and support you in achieving your career goals in the fast-growing data engineering and streaming domain.
Enroll today and become a certified, job-ready Confluent Kafka professional with AarushIT.
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+91-9885596246 or +91-7893762206
Confluent Kafka Online Training