Enroll Course: https://www.udemy.com/course/deploy-de-aplicativos-python-na-google-cloud-platform/
In the world of data science, building powerful machine learning models is only half the battle. The true impact comes when these models are deployed into production, making them accessible and actionable for businesses. For data scientists looking to bridge the gap between theoretical analysis and practical business impact, mastering deployment is a critical skill. It ensures scalability, allows for performance monitoring in dynamic environments, and fosters seamless collaboration with development and operations teams.
This is where the Udemy course, “Deploy de Aplicativos Python na Google Cloud Platform” (Deploying Python Applications on Google Cloud Platform), shines. Designed for developers, machine learning enthusiasts, and data professionals, this course offers a hands-on approach to publishing your first AI applications on the web using Google Cloud Platform (GCP).
The course expertly guides you through the entire lifecycle, starting with training a Convolutional Neural Network (CNN) for image classification. You’ll then learn how to deploy this model onto scalable cloud services. A significant strength of this course is its comprehensive introduction to key GCP services, including Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions. This allows you to understand the nuances of each service and make informed decisions about which is best suited for your specific project.
The curriculum is structured logically. Initially, you’ll set up your local environment, import essential libraries like TensorFlow/Keras, train and evaluate your CNN model, and build a simple Python application to integrate with your trained model. The subsequent stages focus on configuring GCP and deploying your application across various services. This practical, step-by-step methodology makes it ideal for beginners in cloud computing and professionals eager to operationalize their machine learning models.
By the end of this course, you won’t just have learned about cloud deployment; you’ll have successfully published a functional image classification web application on the cloud. You’ll gain mastery over the complete development cycle, from model training to deployment on professional Google services. If you’re serious about making your Python machine learning models work in the real world, this course is a highly recommended investment in your skill set.
Enroll Course: https://www.udemy.com/course/deploy-de-aplicativos-python-na-google-cloud-platform/