Data Streaming with Apache Kafka Online Course
Join our virtual, live instructor-led session and master Data Streaming with Apache Kafka Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| KAF-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| KAF-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| KAF-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| KAF-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| KAF-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| KAF-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Event Streaming Fundamentals and Kafka Core
Data Serialization and Schema Management
Advanced Producer Configuration and Optimization
Consumer Group Dynamics and Scaling
Data Integration with Kafka Connect
Stream Processing with Kafka Streams API
Real-time SQL Processing with ksqlDB
Kafka Security and Data Governance
Monitoring and Performance Tuning
Event-Driven Architecture Patterns
Kafka in the Cloud and Hybrid Environments
Integration Strategy and Roadmap Development
Built for Mexico
From your market
Real tools and case studies from Mexico — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
2-
Confluent Platform ConfluentUsed to run Kafka-based event streaming, including managed Kafka components and ecosystem tools such as stream processing and schema management.
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Apache Kafka Apache Software FoundationUsed to capture and distribute real-time events between producers and consumers in scalable streaming pipelines.
Where this course runs
Data Streaming with Apache Kafka Training is delivered in the cities below — pick the one that fits your schedule.























