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SageMaker Engineering: Start to Finish

4.7
15k+ enrolled

The complete technical deep dive into Amazon SageMaker. From data prep with Data Wrangler to training at scale and deploying with multi-variant testing.

SageMakerMLOpsModel Training
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Course Stats

Rating
4.7/5.0
Duration
20 Hours
Salary Boost
+$65,000
Instructor

AWS ML Research Team

1,000+ Verified Programs
Audited across 20+ institutions
Courses from
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Maximize Earning Potential
Highest-yield credentials only
Expert Score
Verified Analysis
9.4
/100

Infrastructure Master

SageMaker is the heavy lifter of enterprise ML; this course is the manual for that machine.

AI1
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+7
Verified by AI Aggregator Lab

Who It's For

MLOps engineers and Data Scientists managing the full lifecycle of custom models.

Pros

  • Comprehensive MLOps
  • Covers Feature Stor
  • Scalable training pattern

Cons

  • Very dense materia
  • Complex UI/UX

Curriculum

3 Modules

SageMaker Processing and Feature Store implementation.

Self-pacedHigh Yield

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