This is the code repository for AWS SageMaker, Machine Learning and AI with Python [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

This course is designed to make you an expert in AWS machine learning and it teaches you how to convert your cool ideas into highly scalable products in a matter of days.The biggest challenge for a data science professional is how to convert the proof-of-concept models into actual products that your customers can use. There are several courses on machine learning that teach you how to build models in R, Python, Matlab and so forth. However, converting a model into a scalable solution and integrating with your existing application requires a lot of effort and development. The real success of your ideas and concepts depends on how soon you can put the capabilities in the hands of your customers.With the AWS Machine Learning service, you can easily conduct experiments and test your concepts. Once you are happy, you can instantly scale them to support millions of requests. No separate development work is needed.

To fully benefit from the coverage included in this course, you will need:
This course is designed for anyone who is interested in machine learning and data scienceIf you are new to machine learning, this is a perfect course to upskill yourself and the fastest way to learn machine learningIf you are an experienced practitioner, you will gain insight into the AWS Machine Learning capability and learn how you can convert your ideas into highly scalable solution in a matter of daysAWS Certification - If you are preparing for certification, you will learn the best practices and gain hands-on experience in securely deploying products using AWS Cloud

This course has the following software requirements:
NA

• Hands-On Machine Learning Using Amazon SageMaker [Video]

• Developing with S3: AWS with Python and Boto3 Series [Video]

• Hands-On Artificial Intelligence with AWS [Video]