AWS Certified Machine Learning Specialty MLS-C01 [2025]

Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests. Deploy DeepSeek LLM & Hugging Face

AWS Certified Machine Learning Specialty MLS-C01 [2025]

InstructorChandra Lingam

Duration19h 52m

Students39.1K

Rating4.5 (4,197)

Comidoc Analysis

End-to-end SageMaker pipelines and LLM deployment

Strengths

Comprehensive Lifecycle Coverage

Instruction spans from initial AWS account configuration and IAM setup to complex model evaluation for regression and classification tasks.

Best suited to

Aspiring AWS Machine Learning Specialty candidates
Developers seeking hands-on Sage\text{-}SageMaker deployment experience
Data engineers building end-to-end ML pipelines

Less suited to

Experienced practitioners seeking advanced, highly specialized algorithms
Learners requiring guaranteed up-to-the-minute command syntax

Editorial course preview

What the public course preview actually shows

These 2 complementary views highlight concrete, legible examples from the course presentation.

A screenshot of a web browser displaying an online course landing page for 'AWS Certified Machine Learning Specialty (MLS-C01)', featuring a dark header with course details and a ' — Preview 1 of 2
The course landing page displays the title AWS Certified Machine Learning Specialty, highlights hands-on SageMaker experience, and lists key learning outcomes including algorithm training and practice tests.

A screenshot of a web browser displaying the 'Course content' syllabus for an AWS Certified Machine Learning Specialty course, listing sections like Introduction, SageMaker Houseke — Preview 2 of 2
The visible curriculum outline details 26 sections and 230 lectures covering topics such as SageMaker housekeeping, machine learning concepts, model performance evaluation, and XGBoost.