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Machine Learning with SageMaker - AD-TEAM - 08-12-2025
![[Image: f3a413975fa836693b5286cef5402fff.jpg]](https://i125.fastpic.org/big/2025/0813/ff/f3a413975fa836693b5286cef5402fff.jpg)
Machine Learning with SageMaker
Published 6/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz
Language: English | Size: 2.06 GB | Duration: 8h 52m
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
![[Image: 9NRtDcTJ_o.jpg]](https://images2.imgbox.com/15/db/9NRtDcTJ_o.jpg)
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