Apache Kafka Certification — Full Stack
Become a production-ready Kafka professional. End-to-end training covering Producers & Consumers, Kafka Streams, Connect, Schema Registry, cluster operations, security (SASL/SSL), and building real-time ETL with Spark & Flink.
Course Snapshot
- • Developer, Admin & Data Engineer tracks
- • Kafka Streams, KSQL, Kafka Connect, and Schema Registry
- • Cluster design: replication, partitioning, and high-availability
- • Security, monitoring, observability (Prometheus, Grafana, Confluent Control Center)
- • Real-world capstone: Real-time fraud detection & analytics pipeline
Why learn Apache Kafka?
Kafka is the backbone of modern event-driven systems — powering streaming analytics, microservices communication, and large-scale data pipelines. This course teaches both conceptual design and practical ops so you can build, secure, and run Kafka at scale.
Low-Latency Streaming
Process millions of events per second with fault-tolerant storage and low latency delivery.
Scalable Architecture
Scale horizontally using partitions, replication, and multi-cluster strategies.
Ecosystem & Integrations
Work with Spark, Flink, Kafka Connect, Debezium, Schema Registry, and cloud-managed Kafka services.
Observability & Reliability
Monitor throughput, latency, lag, and set up alerting for live production systems.
Tracks — Developer, Administrator & Data Engineer
Developer Track
Build producers/consumers, implement Kafka Streams & KSQL apps, design schemas, and integrate Debezium for CDC.
- Producer/Consumer APIs (Java, Python)
- Kafka Streams & KSQL for stream processing
- Schema Registry, Avro/JSON/Protobuf
- Testing & local dev workflows
Administrator Track
Operate clusters in production: install, configure, tune, secure, and monitor multi-node Kafka clusters.
- Cluster architecture & partitioning
- Replication, ISR, leader election
- Security: TLS, SASL, ACLs
- Monitoring: JMX, Prometheus, Grafana
Data Engineer Track
Build end-to-end streaming ETL: ingest, transform, and deliver to warehouses and analytics systems using Spark/Flink and Kafka Connect.
- Kafka Connect & connectors (S3, JDBC, Elastic)
- Streaming ETL with Spark & Flink
- Exactly-once semantics & transaction support
- Cloud-managed Kafka: Confluent Cloud, MSK, Aiven
Curriculum — Snapshot
Modular curriculum that can be taken per-track or as a full-stack bundle. Each module contains video lessons, code notebooks, and lab exercises.
Foundations & Core
- Kafka fundamentals: topics, partitions, offsets
- Producer & Consumer guarantees
- Serialization & schema design
- Broker, Zookeeper (and KRaft) basics
Stream Processing
- Kafka Streams API & Topology
- KSQL: streaming SQL operations
- Windowing, joins, aggregations
- State stores & fault-tolerance
Operations & Security
- Cluster sizing & partition strategy
- Security: TLS, SASL/SCRAM, OAuth integration
- Monitoring & alerting (Prometheus/Grafana)
- Upgrades, backups, and disaster recovery
Integrations & Ecosystem
- Debezium CDC & change-capture patterns
- Kafka Connect: connectors, transforms, and offsets
- Spark Structured Streaming & Flink
- Data sinks: S3, HDFS, Snowflake, BigQuery, Elasticsearch
Testing, QA & CI/CD
- Local dev with Docker Compose & Testcontainers
- Contract testing with Schema Registry
- Automated deployment & Blue/Green upgrades
- Chaos testing for resilience
Hands-on Labs & Capstone Projects
Practical labs designed to mirror production scenarios — cloud and on-premise variants included.
Streaming ETL Pipeline
Ingest events from Kafka → process with Spark Structured Streaming → write to Snowflake/BigQuery.
Real-time Fraud Detection
Build a near-real-time fraud scoring pipeline using Kafka Streams and ML model inference.
Cluster Ops & Failover
Set up a multi-broker cluster, simulate broker failure, and validate recovery & lag characteristics.
Debezium CDC Lab
Capture DB changes from Postgres and stream to Kafka, then sink to analytics store.
KSQL Analytics Dashboard
Create streaming aggregates and serve results to Grafana/Power BI for live dashboards.
MLOps Integration
Stream features to model training pipelines and deploy real-time model scoring.
Pricing & Plans
Developer Track
Producer/consumer APIs, Streams, KSQL, Schema Registry, and 10 hands-on labs.
Administrator Track
Cluster ops, security, monitoring, backup, and production hardening with 12 labs.
Data Engineer Track
Connectors, Debezium CDC, Spark/Flink pipelines, exactly-once design and 15+ capstone labs.
Instructor & Credibility
— Lead Streaming Instructor
Platform engineer and data architect with 18+ years building event-driven systems and streaming platforms for finance and large-scale enterprises. Experience with Kafka, Confluent, Flink, Spark, and cloud-managed streaming services.
Frequently Asked Questions
Do I need prior experience?
No — fundamental modules cover basics. Developer track expects familiarity with programming; Admin track benefits from Linux and networking basics.
Are labs cloud-based?
Yes — labs include Docker-based local environments and optional cloud sandboxes (Confluent Cloud, AWS MSK). Lab instructions cover both local and cloud setups.
Certification & mock exams?
We provide exam-style simulators, grading, and feedback. We do not issue Confluent/Apache credentials; those are earned through official vendor exams—our course prepares you thoroughly.
Job assistance?
Full Stack Bundle includes resume review, interview prep, and optional mentorship sessions.
Get Started
Ready to master Apache Kafka and build real-time data platforms? Enroll now or contact us for group/enterprise training and customized corporate workshops.