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Image Classification with Amazon Sagemaker

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Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please contact AWS support and request access. In this 2-hour long project-based course, you will learn how to train and deploy an image classifier using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the image classification algorithm from Sagemaker to create, train and deploy a model that will be able to classify 37 breeds of dogs and cats from the popular IIIT-Oxford Pets Dataset. Since this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Discover the power of image classification with Amazon Sagemaker in this concise and practical course designed for data science and AI enthusiasts. Guided by expert instructors from Coursera, you'll embark on a 2-hour hands-on project where you will learn to train and deploy an image classifier capable of identifying 37 breeds of dogs and cats using the IIIT-Oxford Pets Dataset. This course caters to learners with a solid foundation in Python programming and prior experience with Amazon Web Services (AWS). You'll utilize Sagemaker's built-in algorithms, focusing on the practical application of training and deploying models rather than delving into the theoretical aspects of deep learning. Please note that you will need an active AWS account, which may incur charges based on your usage. Additionally, access to certain Sagemaker instance types might require support from AWS. Ideal for learners in North America, this course is available through the Starter subscription plan and is tailored for expert-level participants looking to enhance their skills in the domain of data science and AI.