AWS Discovery Days – Machine Learning Basics
Develop practical, source-aligned skills in introductory machine-learning concepts and AWS machine-learning services 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 AWS Discovery Days – Machine Learning Basics training develops practical, source-aligned skills in introductory machine-learning concepts and AWS machine-learning services.
The 4 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
- Machine-learning concepts and terminology
- Business use cases and problem framing
- Data, features, algorithms, and training
- AWS AI and machine-learning service landscape
- Amazon SageMaker overview
- Model lifecycle, evaluation, and deployment concepts
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
- 4 Hours
Your Instructors
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