Yiga AI

Course 1 of 11

Streaming with Kafka

Topics, Producers/consumers, Stream processing, and more.

Yiga AI

Advanced en

Advanced · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
16
Hands-on exercises
16
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

Data Engineering Foundations

Advanced SQL for Engineers

Python for Data Engineering

Data Warehousing

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 5 lessons · 3 hoursTopicsModule 1 of 4 in Streaming with Kafka.

  1. Overview and set-up

    Overview and set-up — Topics in Streaming with Kafka.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Topics in Streaming with Kafka.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Topics in Streaming with Kafka.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Topics in Streaming with Kafka.

    Lesson · Locked

    40 min

  5. Module quiz: Topics

    Check what you learned in Topics before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedProducers/consumersModule 2 of 4 in Streaming with Kafka.

  1. Overview and set-up

    Overview and set-up — Producers/consumers in Streaming with Kafka.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Producers/consumers in Streaming with Kafka.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Producers/consumers in Streaming with Kafka.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Producers/consumers in Streaming with Kafka.

    Lesson · Locked

    40 min

  5. Module quiz: Producers/consumers

    Check what you learned in Producers/consumers before moving on.

    Quiz · Locked

    20 min
Module 3 · 5 lessons · 3 hours LockedStream processingModule 3 of 4 in Streaming with Kafka.

  1. Overview and set-up

    Overview and set-up — Stream processing in Streaming with Kafka.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Stream processing in Streaming with Kafka.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Stream processing in Streaming with Kafka.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Stream processing in Streaming with Kafka.

    Lesson · Locked

    40 min

  5. Module quiz: Stream processing

    Check what you learned in Stream processing before moving on.

    Quiz · Locked

    20 min
Module 4 · 6 lessons · 5 hours LockedUse casesModule 4 of 4 in Streaming with Kafka.

  1. Overview and set-up

    Overview and set-up — Use cases in Streaming with Kafka.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Use cases in Streaming with Kafka.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Use cases in Streaming with Kafka.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Use cases in Streaming with Kafka.

    Lesson · Locked

    40 min

  5. Module quiz: Use cases

    Check what you learned in Use cases before moving on.

    Quiz · Locked

    20 min

  6. Graded project: Streaming with Kafka

    Apply everything from Streaming with Kafka in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: Streaming with Kafka to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share
Daniel O., Data & analytics

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

Brian Okello, Yiga learner

“The course content made machine learning understandable, and the practice kept me moving.”

Brian Okello

Software developer, Kampala

Continue with

Your next best step.

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Overview and set-up

Streaming with Kafka

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