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Real time Data Pipeline using GCP & Confluent platforms

Name: Real time Data Pipeline using GCP &amp; Confluent platforms
Author: Baturi

Hands on course - Real Time Data Streaming Pipeline using Confluent Kafka, GCP Functions, DB, & Looker from scratch
What you'll learn
✓ Able to build Enterprise Grade, scalable Real Time Data Pipeline using Confluent Kafka & Google Cloud Platforms
✓ Configure, use and trouble shoot setting up of Google cloud Platform services like Cloud Run Functions, Cloud SQL & Looker
✓ Configure, use and trouble shoot setting up of Confluent Cluster, Topic, Keys etc
✓ Configure, use and trouble shoot setting up of Confluent managed Sink & Source Connectors
Requirements
● No programming experience needed
● Able to create free confluent kafka account to follow along
● Able to create free GCP - Google Cloud Platform account to follow along
Description
Course Overview
In this hands-on course, participants will follow a step-by-step approach to build a real-time streaming analytics data pipeline that integrates Confluent Kafka with Google Cloud Platform services. Learners will design a real time streaming pipeline that streams data from Kafka into Google Cloud Storage, processes it with GCP Cloud Run Function, stores it in GCP Cloud SQL Postgres DB, and finally visualizes operational insights using Looker Studio. This practical journey ensures participants not only grasp the concepts but also apply them directly in a cloud-native environment.
Google Cloud Platform Experience
On the GCP side, participants will gain exposure to key services including Cloud Run Functions, Secrets Manager, Cloud SQL Postgres DB, and Looker Studio. They will also learn essential skills in logging, monitoring, troubleshooting, and configuration, which are critical for building secure, scalable, and reliable streaming applications in the cloud.
Confluent Kafka Experience
On the Kafka side, learners will set up a fully managed Kafka cluster, create topics for message streaming, configure a Datagen Source Connector to simulate real-world data ingestion, and integrate with GCP Functions Sink Connector. This provides valuable hands-on experience with enterprise-grade Kafka infrastructure—without the complexity of managing it manually.
Learning Outcomes
By the end of the course, participants will have
• Built a working, scalable real time streaming data pipeline.
• Gained insights into cloud-native architectures and streaming design patterns.
• Acquired hands-on skills directly applicable to real-world projects and professional roles.
Who Should Attend
This hands-on course is ideal for Cloud Engineers, Data Engineers, Product Owners, Product Managers, Scrum Masters, and Technology Leaders seeking practical experience in building real-time streaming data pipelines with Confluent Kafka and Google Cloud Platforms.
Who this course is for
■ Entry Level Data Engineers who want to learn about building Data pipelines using Confluent Kafka & Google Cloud Platforms
■ Entry Level Cloud Engineers who want to learn about building Data pipelines using Confluent Kafka & Google Cloud Platforms
■ Mid to Sr. Level Data Engineers who want to get exposure on building Data pipelines using Confluent Kafka & Google Cloud Platforms
■ Product Managers/Product Owners who want to get exposure on building Data pipelines using Confluent Kafka & Google Cloud Platforms
■ Technology Leaders who want to get exposure on building Real time Data pipelines using Confluent Kafka & Google Cloud Platforms
Homepage

https://www.udemy.com/course/real-time-data-pipeline-using-gcp-confluent-platforms/

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Real time Data Pipeline using GCP & Confluent platforms

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