Udemy – Hands-On Data Engineering in Google Cloud Platform | Python 2024-1
Udemy – Hands-On Data Engineering in Google Cloud Platform | Python 2024-1 Downloadly IRSpace
Hands-On Data Engineering in Google Cloud Platform | Python, The “Hands-On Data Engineering in Google Cloud Platform | Python” course on Udemy offers a comprehensive, project-based learning experience for aspiring data engineers. It focuses on serverless and self-managed technologies within Google Cloud Platform (GCP), guiding learners through real-world implementations using tools like Cloud Storage, Pub/Sub, Cloud SQL, BigQuery, Bigtable, Cloud Functions, Dataflow, and Dataproc. The course emphasizes practical skills such as extracting and loading data, transforming it using various GCP services, and building end-to-end data engineering pipelines.
Designed for learners with basic Python, Docker, and Bash knowledge, the course provides detailed video tutorials and written guides to support beginners. It includes over 5 hours of content across 32 lectures, covering everything from setting up GCP environments to deploying scalable data workflows. Students are encouraged to use Google’s 90-day free trial to gain hands-on experience, and the course culminates in real-life demos that integrate multiple GCP tools into cohesive solutions.
What you’ll learn
- Extract and load data from local machine to Cloud Storage and Pub/Sub.
- Setup and use database such as Cloud SQL, BigQuery and Bigtable.
- Transform data using Google Cloud Functions, Dataflow and Dataproc.
- Implement real life end-to-end solutions by combining latest available tools in Google Cloud Platform.
Who this course is for
- Python developers curious about quick overview and offerings of data engineering solutions in Google Cloud Platform.
- Individuals who prefer step-by-step hands-on experience instead of dry knowledge classes.
- Existing data engineers who are interested to migrate on-premise solutions to Google Cloud Platform.
- People who just started to adopt Google Cloud Platform in their existing workflows and want to get a quick head-start on where to begin.
Specificatoin of Hands-On Data Engineering in Google Cloud Platform | Python
- Publisher : Udemy
- Teacher : Chenming Yong
- Language : English
- Level : All Levels
- Number of Course : 32
- Duration : 5 hours and 55 minutes
Content of Hands-On Data Engineering in Google Cloud Platform | Python

Requirements
- Basic Python, docker and bash knowledge. Detailed steps will be provided in both video and self-written articles by author, so no worries if you are a totally beginner!
- Sign up for 90-day $300 Google Cloud Free Trial – credit card/payment method required. Google won’t charge you unless you explicitly upgrade from your free trial to a paid account, so no worries!
- Stable internet connection to watch all the non-stop live demos in 1080p!
Pictures

Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720
Download Links
File size
1.94 GB
Super Admin