AWS Machine Learning Foundations

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- AWS Machine Learning Foundations Nanodegree Program

- AWS Machine Learning Engineer Scholarship Program

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Repository with the tasks and demonstrations from AWS Machine Learning Foundations.

• IBM Deep Learning Fundamentals Credential

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Course information:

- Study machine learning techniques and algorithms, programming best practices, python coding, and Amazon AI Services and Amazon AI Devices, including Amazon SageMaker and Amazon DeepComposer. Learn computer vision with AWS DeepLens, reinforcement learning with AWS DeepRacer, and generative AI with AWS DeepComposer. The foundations course is intended to help developers of all skill levels get started with machine learning.

Topics include:

1. Welcome to the AWS Machine Learning Foundations Course.
2. Introduction to Machine Learning.
3. Machine Learning with AWS.
4. Software Engineering Practices, Part 1
5. Software Engineering Practices, Part 2
6. Introduction to Object-Oriented Programming

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- AWS and Udacity are collaborating to educate developers of all skill levels on machine learning concepts. We invite students 18 years of age or older who are interested in expanding their machine learning skills and expertise to enroll in the AWS Machine Learning Scholarship Program. The goal for this program is to up-level machine learning skills to all, and to cultivate the next generation of ML leaders across the world, with a focus on underrepresented groups. Through its We Power Tech Program, AWS collaborates with professional organizations that are leading initiatives to increase the diversity and talent in technical roles, including organizations like Girls In Tech and the National Society of Black Engineers.

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Course link

https://www.udacity.com/course/aws-machine-learning-foundations--ud090