No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Build your machine learning model and get accurate predictions without writing any code using AWS SageMaker Canvas

AWS is the #1 cloud-based tool used industry-wide for machine learning projects. You do not need advanced coding expertise that is generally required in the field of machine learning. Nowadays, machine learning models that usually take many days to build are available very quickly in just a few minutes with the help of SageMaker Canvas. SageMaker Canvas has a small learning curve and you can pick up even advanced concepts very quickly. It is also available as part of AWS Free Tier. This course is created with students from various backgrounds in mind. Therefore, we start with the fundamentals and work our way up to more advanced topics. In addition, we will work on four projects in the course itself, from beginning to end. By providing you with in-depth knowledge and the necessary hands-on experience on this newly introduced cloud-based ML tool, this course will help you become a machine learning expert and enhance your skills. You won’t need any advanced coding knowledge to complete projects that are based on real-world industry problems. Guidance is offered beyond the tool—you will not only learn the software but also important machine learning principles. By the end of this course, you will be able to build your own machine learning model and get accurate predictions without writing any code using AWS SageMaker Canvas. All the resources and datasets for this course are available at: https://github.com/PacktPublishing/No-Code-Machine-Learning-Using-Amazon-AWS-SageMaker-Canvas

This course is designed for students who want to enter the machine learning domain but don’t have coding expertise, or anybody in general who wants to know what machine learning is and how to use it professionally. You won’t need any high-configuration computer to learn this tool. All you need is any system with internet connectivity and a basic understanding of machine learning.