Data to Decisions: ML and Analytics on AWS
Develop practical, source-aligned skills in converting data into business decisions through analytics and machine learning on AWS through structured explanations, guided implementation, security and operational review, troubleshooting, and applied validation.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Data to Decisions: ML and Analytics on AWS training develops practical, source-aligned skills in converting data into business decisions through analytics and machine learning on AWS.
The 40 Hours curriculum is independently rewritten into four structured lessons. Learners progress from foundations and use-case analysis to implementation, security, operations, troubleshooting, applied validation, and best-practice review.
What You Will Learn
- Analytics and machine-learning business use cases
- Data ingestion, storage, and preparation on AWS
- Exploratory analysis and visualization
- Feature engineering and data-quality management
- Machine-learning model development with AWS services
- Amazon SageMaker training, evaluation, and tuning
SkillDynamo Training Approach
Instructor-guided explanations, AWS service or workflow mapping, hands-on planning activities, scenario analysis, validation checklists, troubleshooting discussions, and a final improvement roadmap.
Curriculum
- 1 Section
- 4 Lessons
- 40 Hours
Your Instructors
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