Machine learning with SageMaker.

Format:

Video

Contributor:

Garner, Nick, instructor.

Pearson (Firm), publisher.

Language:

English

Subjects (All):

Machine learning.

Web services.

Cloud computing.

Amazon Web Services.

Physical Description:

1 online resource (1 video file (8 hr., 52 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Pearson, [2025]

Summary:

Master Cloud-Based Machine Learning on AWS This course will teach critical skills to design and deploy scalable ML solutions. The core skills covered are: Data Preparation: Ingest, transform, and clean data using SageMaker Pipeline Automation: Build and deploy end-to-end ML workflows Solution Management: Monitor, secure, and optimize AWS-based ML systems It offers hands-on AWS training that is ideal for software developers, data scientists, ML engineers, and DevOps professionals, this course blends theory with practical projects to help you design production-ready ML architectures, automate CI/CD pipelines for efficient deployment, implement security best practices for cloud-based systems. You can find additional resources here: https://bitbucket.org/awsdevguru/awsmlassoc/src/main/ Related Learning: Sign up for more live trainings by Nick Garner Skill Level : Intermediate to advanced Course requirement: None About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

0-13-547945-2

OCLC:

1527189476