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:
Related Learning
Sign up for more live trainings by Nick Garner
Skill Level
Intermediate to advanced
Course requirement
None
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
