Kafka & Event-Driven Architecture with AI
Certificate of Completion by Code.Hub
This hands-on course develops practical skills in building event-driven systems using Kafka while incorporating AI-assisted development workflows. Participants practice designing reliable event flows and learn how AI can support faster configuration, code scaffolding, and architectural refinement-without replacing sound engineering judgment. The outcome is a clearer understanding of asynchronous system design and increased confidence in implementing resilient event-driven solutions.
By the end of this module, participants will be able to:
- Explain core event-driven architecture principles and Kafka fundamentals
- Design event flows with appropriate topic structures and partition strategies
- Implement producers and consumers within Java/Spring applications
- Configure reliability mechanisms and error-handling strategies in messaging systems
- Use AI tools to scaffold, review, and refine event-driven implementations responsibly
Event-Driven Architecture Foundations
Introduction to event-driven architecture & Kafka
- AI Practice: AI explains Kafka concepts: topics, partitions, producers/consumers, brokers
Kafka Messaging Fundamentals
Kafka producer & consumer fundamentals
- AI Practice: AI scaffolds producer/consumer code examples
Kafka messaging patterns (pub/sub, point-to-point)
- AI Practice: AI generates diagrams for event flows
Topic Design and Scaling
Kafka topic design & partitioning
- AI Practice: AI suggests partition strategies, consumer group setups
Reliability and Configuration
Kafka configuration & reliability (acks, retries, DLQs)
- AI Practice: AI generates configuration examples and code snippets
Application Integration
Integration of Kafka in Java/Spring applications
- AI Practice: AI scaffolds service + Kafka integration code
Observability and Error Handling
- Monitoring
- Logging
- Error handling
- AI Practice: AI proposes monitoring metrics, retry strategies, logging templates
Capstone Project
Event-driven mini-system
- AI Practice: AI scaffolds end-to-end Kafka event flow, diagrams, and code
- Roles: Backend Developers, Software Engineers, Software Architects
- Seniority: Mid-Level or Senior Professionals
- Basic Java programming knowledge
- Familiarity with backend application development
- Introductory understanding of REST-based systems
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
Interested for
