Q: Can I modify the Jupyter notebook code?
A: Yes. The notebook code and features can be modified to create different ML models and related visualizations for your specific use case.
Q: Can I secure my uploaded datasets?
A: If you choose to use the Jupyter notebooks against your own datasets, we recommend following AWS best practices for uploading data into Amazon S3 to ensure that your data is uploaded quickly and securely. For more information, see the deployment guide.
Training and Certification
AWS Training and Certification builds your competence, confidence, and credibility through practical cloud skills that help you innovate and build your future. Learn more »
ML Building Blocks: Services and Terminology
These two courses clarify both the machine learning stack and the terms and processes that will help you build a good foundation in machine learning. You’ll explore the AWS ML stack through application use cases, platform services, frameworks, interfaces, and infrastructure.
Getting Started with Amazon Simple Storage Service (S3)
This course introduces you to Amazon S3 and provides you with the knowledge to determine when to use Amazon S3 by reviewing typical use cases and understanding how the service provides object storage for your applications.
AWS Certified DevOps Engineer – Professional
This exam tests your technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform.
The AWS Partner Network (APN) is focused on helping partners build successful AWS-based businesses to drive superb solutions and customer experiences. APN Partners are focused on customer success, helping you take full advantage of all the business benefits that AWS has to offer. With their deep expertise on AWS, APN Partners are uniquely positioned to help your company at any stage of your Cloud Adoption Journey and to help you solve some of your most complex problems.