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If you’re a data scientist, developer, or machine learning enthusiast eager to take your models from concept to production, the ‘Deploy de Aplicativos Python na Google Cloud Platform’ course on Udemy is an invaluable resource. This practical, beginner-friendly course guides you through the entire process of deploying machine learning models in a cloud environment, specifically focusing on Google Cloud Platform (GCP). Starting with the basics, you’ll learn how to train a convolutional neural network (CNN) for image classification, then progress to deploying your model using various GCP services such as Google Compute Engine, App Engine, Kubernetes Engine, Cloud Run, and Cloud Functions. The course emphasizes hands-on learning, allowing you to prepare your environment locally, train and evaluate your models, and then seamlessly deploy them into scalable cloud services. By the end, you’ll have a fully functional web application that classifies images, showcasing your ability to bring machine learning solutions into real-world applications. Whether you’re new to cloud computing or looking to enhance your deployment skills, this course equips you with the essential tools and knowledge to make your AI models accessible, scalable, and production-ready on Google Cloud Platform.
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