Comidoc Analysis
Learn to Build, Train & Deploy Machine Learning Models on AWS
Build and End to End ML Projects on AWS SageMaker
InstructorAkhil VydyulaDuration54m
Students10.7K
Rating3.8 (42)
Learn to Build, Train & Deploy Machine Learning Models on AWS
InstructorAkhil VydyulaComidoc has tracked 18 coupons for this course since 2025, last checked 6d ago. On average, a new coupon appears roughly every 23 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeEPIC-LOVE | Discount100% off | Added | StatusExpired | Lifetime28d 8h |
| Coupon codeOCT-FREE11 | Discount100% off | Added | StatusExpired | Lifetime~24 daysRan full term |
| Coupon codeSEPT-FREE | Discount100% off | Added | StatusExpired | Lifetime~12 daysRan full term |
| Coupon codeDC-LOVE | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeAUG-FREE | Discount100% off | Added | StatusExpired | Lifetime~30 daysRan full term |
| Coupon codeJUL-FREE | Discount100% off | Added | StatusExpired | Lifetime~5 daysRan full term |
Lifetime is the time from a coupon's first appearance to its expiration or invalidation.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This notebook page illustrates time series forecasting using shampoo sales data, featuring a sample dataset table and a line chart that visualizes the trend over time.
This notebook page illustrates key time series characteristics using three distinct graphs that visualize decreasing standard deviation, an increasing mean, and periodic seasonality.
The notebook interface displays a visual aid featuring a hand-drawn red line chart on graph paper to illustrate time series data trends alongside physical stationery.
The curriculum follows a logical sequence from foundational concepts and data preparation through to model training and deployment strategies.
Instruction includes specific segments focused on applying machine learning to the Iris dataset and banking data.
One signal suggests a lack of logical narrative and insufficient demonstration of complete end-to-end pipelines within the AWS ecosystem.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns with the stated goals of data scientists and engineers interested in SageMaker.