![AWS Certified Machine Learning Specialty MLS-C01 [2025]](https://img-c.udemycdn.com/course/750x422/992566_aeb4_8.jpg)
Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests. Deploy DeepSeek LLM & Hugging Face
InstructorChandra Lingam
Instruction spans from initial AWS account configuration and IAM setup to complex model evaluation for regression and classification tasks.
Practical exercises focus on high-stakes deployment techniques, including A/B testing multiple production variants and multi-model endpoints.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
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.
The visible curriculum outline details 26 sections and 230 lectures covering topics such as SageMaker housekeeping, machine learning concepts, model performance evaluation, and XGBoost.
The curriculum includes specific architecture breakdowns and deployment workflows for DeepSeek LLMs on SageMaker.
A recent report suggests that specific commands within the lessons may no longer align with current AWS interface updates; note that the displayed update date does not guarantee a correction of this issue.
A recent report suggests that specific commands within the lessons may no longer align with current AWS interface updates; note that the displayed update date does not guarantee a correction of this issue.
The curriculum aligns well with AWS infrastructure requirements and machine learning goals.