This course is not open for enrollment

RADE™ Apache Kafka for Data Engineers

Build Real-Time Streaming Pipelines with Kafka, Spark Streaming & AWS MSK

Course Summary

RADE™ Apache Kafka for Data Engineers is a practical, interview-ready, and production-oriented course designed specifically for data engineers who want to confidently work with real-time streaming systems — without turning into Kafka administrators.

This course cuts through Kafka hype and focuses on exactly what a modern data engineer needs:
how Kafka fits into real-world architectures, how to consume streaming data safely, and how to integrate Kafka with Spark Structured Streaming on AWS.

You will not just “learn Kafka concepts.”
You will build an end-to-end streaming pipeline using:

AWS MSK (Serverless Kafka)
Spark Structured Streaming
EMR Serverless & EMR Studio
S3-based streaming sinks with checkpointing

By the end of this course, Kafka will stop feeling like a black box — and start feeling like a natural extension of your data engineering toolkit.

What You Will Learn

By the end of this course, you will:

Understand what Kafka really is and why companies use it for real-time data
Know when streaming is required and when batch processing is still enough
Clearly explain Kafka concepts like topics, partitions, producers, and consumers — even if you’re new to streaming
See how real-time data flows from applications into analytics systems
Learn how Kafka fits into a modern data engineering architecture
Build confidence working with real-time pipelines, not just batch jobs
Learn how data engineers consume Kafka data using Spark Streaming
Understand how streaming data is processed safely without data loss
See how real-time data is written to cloud storage for analytics
Gain the ability to talk about Kafka confidently in interviews

No prior Kafka experience required. Concepts are explained slowly, clearly, and with real-world examples.

Hands-On, Not Slides

This course includes a step-by-step, production-style lab where you:

Provision infrastructure using CloudFormation
Stream synthetic sales data into Kafka
Consume and process live events using Spark Streaming
Write streaming outputs to S3 in Parquet format
Observe batch execution, offsets, checkpoints, and failures like a real engineer

You don’t just see streaming — you run it.

Interview & Career Focus

To ensure real career impact, the course includes:

Curated Kafka interview questions with answer frameworks
Scenario-based problem solving (OOM errors, backlog handling, ordering guarantees)
MCQ-based assessments to validate conceptual clarity

You’ll be able to explain Kafka confidently, not recite definitions.

Who This Course Is For

This course is ideal for:

Data Engineers who already know batch processing and want to add streaming
Engineers working with Spark / Glue / EMR / Databricks
Professionals preparing for senior data engineering interviews

This course is not for:

Kafka administrators
Pure backend developers
People looking for deep broker tuning or cluster internals

Course Curriculum

Part 1: Kafka Foundations (Conceptual + Mental Model)
4 Lessons
- 1. Kafka Course Introduction
  Start
- 2. Kafka Big Picture
  Start
- 3. Kafka Terminologies - Part 1
  Start
- 4. Kafka Terminologies - Part 2
  Start
Part 2: Kafka in Practice (Hands-on + Spark Streaming)
5 Lessons
- 1. Kafka - Where do you practise
  Start
- 2. Get a feel of real time feed using Kafka
  Start
- 3. Set up EMR Workspace to consume data from Kafka topic
  Start
- 4. Kafka - Spark Streaming Iterative Development.mp4
  Start
- 5. Cleanup & Optional Kafka Resource
  Start

Sachin Chandrashekhar

John Smith

Developer

Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!