Kafka and Python Course
Dive deep into Kafka using Python to create live producers, consumers, and metrics flows. Master data event design, schema planning, speed tweaks, and ready-for-production setups to drive scalable, dependable streaming in today's tech setups. Build hands-on projects that handle real-world loads, errors, and growth needs for robust pipelines in Kenyan tech firms or global apps.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills in setting up Kafka on your machine, crafting strong topics and schemas, and developing dependable JSON producers and consumers using Python. Produce lifelike test data, optimise speed, apply time-based summaries, and manage commits, retries, plus faults. Master current tools, testing methods, monitoring, and rollout strategies for efficient, tough streaming systems.
Elevify advantages
Develop skills
- Design Kafka event schemas: shape keys, fields, and changes for actual data.
- Build Python Kafka producers: create, format, and send events quickly.
- Implement strong Python consumers: groups, commits, retries, and fault management.
- Create live metrics pipelines: time-window summaries and metrics topics.
- Productionise Kafka apps: testing, watching, security, and scalable rollouts.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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