Udemy – Deploying Python Applications on Google Cloud Platform 2025-3
Udemy – Deploying Python Applications on Google Cloud Platform 2025-3

Deploying Python Applications on Google Cloud Platform course. This introductory course is designed for developers, machine learning enthusiasts, and data scientists who want to learn how to deploy their first AI applications on the web using Google Cloud Platform (GCP). Through a hands-on approach, you will be guided from training a convolutional neural network (CNN) for image classification to deploying the model to scalable cloud services. The course includes an introduction to key GCP services such as Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions, allowing you to compare and choose the best option for your project. In the first step, you will set up your local environment: import libraries (such as TensorFlow/Keras), train and evaluate your CNN model, and create a simple Python application to integrate with the trained model. Next, you will learn how to configure GCP and deploy to various services. This course is ideal for cloud computing beginners and experts who want to put machine learning models into production. By the end, you’ll deploy an image classification web application in the cloud and master the full development cycle—from model training to deployment to Google Professional Services.
What you will learn:
- Review key platform services such as Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions
- Determining the most appropriate service for each type of application
- CNN model training and evaluation, including creating a local Python project ready for deployment
- Deploy your machine learning application across multiple GCP services, learn how to configure environments and manage resources
- Avoid unnecessary costs by properly cleaning up resources after deployment
Who is this course suitable for?
- Cloud computing beginners looking to take their first steps with GCP.
- Data scientists and Python developers who plan to deploy machine learning models in production.
Course details for Deploying Python Applications on Google Cloud Platform
- Publisher: Udemy
- Instructor: Jones Granatyr
- Training level: Beginner to advanced
- Training duration: 2 hours and 35 minutes
- Number of lessons: 22
Course headings
Prerequisites for the Deploying Python Applications on Google Cloud Platform course
- Basic knowledge of Python and machine learning (prior experience with neural networks is a plus)
- Familiarity with web development concepts (optional but recommended)
Course images
Sample course video
Installation Guide
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Quality: 1080p
Download link
File(s) password: www.downloadly.ir
File size
947 MB