Apache Kafka (Real-Time Streaming) Course in Hyderabad
Build real-time event streaming pipelines with Apache Kafka
The Apache Kafka course teaches you to design and run real-time event streaming systems. You start with messaging and event-driven architecture, then study Kafka's core concepts: topics, partitions, offsets, brokers, replication and consumer groups. You install and operate a Kafka cluster in KRaft mode, which is the only mode supported since Kafka 4.0 removed ZooKeeper, and you write producers and consumers in Python or Java with serialisation using Avro or JSON Schema and a schema registry. Later modules cover delivery semantics, idempotent producers and transactions, Kafka Connect for moving data to and from databases and storage, Kafka Streams and ksqlDB for stream processing, security with TLS and ACLs, monitoring and performance tuning, and integration with Apache Spark and Apache Flink at an overview level. The course suits developers, data engineers and DevOps professionals with basic programming and Linux knowledge. Labs run in Docker, and the capstone streams events from a source database into an analytics store. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Event Streaming Fundamentals
- •Messaging versus event streaming; publish-subscribe and queues
- •Event-driven architecture and common use cases
- •Where Kafka fits among RabbitMQ, cloud services and other brokers
- •Lab: Sketch an event flow for an e-commerce order
- •Outcome: Explain when Kafka is the right tool
Kafka Architecture
- •Topics, partitions, offsets and segments
- •Replication, leaders, followers and in-sync replicas
- •KRaft controllers and why ZooKeeper is no longer used in Kafka 4.0
- •Lab: Run a three-broker cluster with Docker
- •Outcome: Explain how Kafka stores and replicates data
Setup & Command-Line Tools
- •Installing and configuring Kafka in KRaft mode
- •Creating topics, partitions and retention settings
- •Console producer and consumer; consumer group tools
- •Lab: Produce and consume messages from the command line
- •Outcome: Operate Kafka from the shell
Producers
- •Producer configuration: acks, retries, batching and compression
- •Keys and partitioning strategies
- •Idempotent producers and delivery semantics
- •Lab: Build a producer in Python or Java and measure throughput
- •Outcome: Send data reliably and efficiently
Consumers & Consumer Groups
- •Consumer groups, partition assignment and rebalancing, including the newer rebalance protocol
- •Offset commits and at-least-once, at-most-once and exactly-once semantics
- •Consumer lag and back-pressure
- •Lab: Scale consumers and observe rebalancing
- •Outcome: Consume data safely and at scale
Schemas & Serialisation
- •Why schemas matter; Avro, JSON Schema and Protobuf
- •Schema Registry and compatibility rules
- •Evolving schemas without breaking consumers
- •Lab: Register a schema and evolve it
- •Outcome: Manage data contracts in streams
Kafka Connect
- •Connect architecture: workers, connectors, tasks and converters
- •JDBC and file connectors; change data capture with Debezium
- •Single message transforms and error handling
- •Lab: Stream rows from a database into Kafka and then to storage
- •Outcome: Integrate Kafka with databases without custom code
Stream Processing: Kafka Streams & ksqlDB
- •Streams, tables and the stream-table duality
- •Stateless and stateful operations, joins and windows
- •ksqlDB queries and when to choose Kafka Streams, ksqlDB, Spark or Flink
- •Lab: Build a windowed aggregation over order events
- •Outcome: Process streams continuously
Transactions & Exactly-Once Processing
- •Transactions and isolation levels
- •Exactly-once in Kafka Streams and consume-transform-produce loops
- •Idempotent consumers and the outbox pattern
- •Lab: Implement a transactional pipeline and test failure recovery
- •Outcome: Prevent duplicates and data loss
Security & Governance
- •TLS encryption and SASL authentication
- •ACLs, quotas and multi-tenant design
- •Data masking and compliance considerations
- •Lab: Secure a cluster with TLS and ACLs
- •Outcome: Protect streaming data
Operations, Monitoring & Tuning
- •Broker, topic and client metrics with JMX, Prometheus and Grafana
- •Retention, compaction and storage planning
- •Performance tuning and capacity planning; upgrades and rolling restarts
- •Lab: Build a Kafka dashboard and alert on consumer lag
- •Outcome: Run Kafka dependably
Cloud Services, Integration & Capstone
- •Managed Kafka services: Confluent Cloud, Amazon MSK and Azure Event Hubs Kafka endpoint overview
- •Spark Structured Streaming and Flink integration overview
- •Capstone: database change events to Kafka, processed, and delivered to an analytics store with monitoring
- •Interview practice for streaming roles
- •Outcome: A portfolio-ready streaming project
Tools Covered
Projects Included
- Order Event Pipeline: Publish order events and consume them in several consumer groups; deliverable is producers, consumers and a demonstration of rebalancing.
- Database Change Capture: Stream database changes into Kafka with Debezium and Connect; deliverable is a working connector configuration and test.
- Real-Time Metrics with Streams: Compute windowed sales aggregates with Kafka Streams or ksqlDB; deliverable is a live aggregate topic and dashboard.
- Exactly-Once Payment Flow: Build a transactional consume-transform-produce flow and test failures; deliverable is a test report on duplicates.
- Capstone Streaming Platform: Combine Connect, schema registry, processing and monitoring; deliverable is a GitHub repository and architecture diagram.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Apache Kafka (Real-Time Streaming) course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Apache Kafka (Real-Time Streaming).
Certificate of Completion
Apache Kafka (Real-Time Streaming)
This certifies that
[Your Name]
has successfully completed the
Apache Kafka (Real-Time Streaming)
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Apache Kafka (Real-Time Streaming) course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best Apache Kafka (Real-Time Streaming) Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Kafka Developer, Data Engineer (Streaming), Backend Developer, Integration Engineer; support is guidance with the job search, not a guarantee of a job.