Real-Time Data Processing Courses and Certifications

Apache Flink | A Real Time & Hands-On course on Flink

2761 ratings at Udemy

A Complete In-depth and Hands-On course on a technology better than Spark for Stream processing i.e. Apache Flink

• Udemy
• 5 hours 50 minutes
• Self-Paced
• Paid Course

Apache Kafka Series - KSQL on ksqlDB for Stream Processing !

2135 ratings at Udemy

Use SQL on Apache Kafka with Confluent ksqlDB! Build an entire taxi booking application based on KSQL stream processing

• Udemy
• 4 hours 2 minutes
• Self-Paced
• Paid Course

Python & Cryptocurrency API: Build 5 Real World Applications

1163 ratings at Udemy

Build five projects using live cryptocurrency data from the web. We will use the free CoinMarketCap crypto API.

• Udemy
• 2 hours 55 minutes
• Self-Paced
• Paid Course

Creating a Streaming Data Pipeline With Apache Kafka

27 ratings at Coursera

Hands-on lab exploring Kafka Streams API to build a real-time data pipeline using Java and Apache Kafka in Google Cloud, showcasing end-to-end streaming capabilities.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

LearnKartS

Kafka Integration with Storm, Spark, Flume, and Security

Learn advanced real-time data processing with Kafka integration, exploring Storm, Spark, and Flume frameworks. Gain skills in data security, performance tuning, and administrative tasks for robust, scalable systems.

• Coursera
• 3 hours 45 minutes
• Self-Paced
• Paid Course

Coursera Credential

Real-Time, Real Fast: Kafka & Spark for Data Engineers

Master Apache Kafka and Spark to build enterprise-grade streaming systems that process millions of events per second with hands-on projects mirroring Netflix and Uber challenges.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Whizlabs

Microsoft Fabric: Ingest and Transform Data

Master Microsoft Fabric's data ingestion and transformation capabilities through hands-on training with Eventstreams, KQL, Spark, and Pipelines for scalable analytics workflows.

• Coursera
• 10 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

Master real-time big data processing with Spark Streaming and Scala. Develop skills in RDDs, windowing, fault tolerance, and integration with external systems. Apply advanced techniques like stateful processing and machine learning.

• Coursera
• 8 hours 51 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: ML Workflows with SageMaker, Storage & Security

Master secure, scalable ML workflows on AWS using SageMaker, data storage services, and enterprise-grade security controls for production-ready machine learning systems.

• Coursera
• 10 hours 22 minutes
• Self-Paced
• Paid Course

Building Realtime Pipelines in Cloud Data Fusion

Learn to create real-time event processing pipelines using Data Fusion and Apache Spark Streaming on Cloud Dataproc, enabling efficient handling of streaming data in Google Cloud.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Real-Time Big Data Access using HBase: Boosting Performance

Explore HBase for real-time big data processing, covering fundamentals, schema design, querying, and deployment strategies. Gain hands-on experience in optimizing performance and scalability.

• Coursera
• 20 hours 15 minutes
• Self-Paced
• Paid Course

LearnKartS

Real-Time Data Pipelines & Analytics on AWS

Unlock real-time data processing skills using AWS tools like Kinesis, Redshift, and Glue to build production-ready streaming pipelines for modern business analytics.

• Coursera
• 8 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

Design Real-Time Architectures with Spark & Kafka

Master real-time data pipelines using Apache Spark & Kafka for scalable streaming systems with fault tolerance, performance tuning, and production deployment strategies.

• Coursera
• 3 hours 39 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark with Scala: Master Data Building & Analysis

Master Apache Spark with Scala to build scalable big data applications, implement real-time streaming, and create fault-tolerant data pipelines for analytics roles.

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Interactive Python Standard Library

Master Python's interactive libraries in this comprehensive course. Learn to create dynamic, responsive applications using cutting-edge tools for data visualization, web interactivity, and real-time user engagement.

• edX
• 4 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)