AWS Machine Learning Course
Master AWS Machine Learning for churn prediction. Gain skills in SageMaker pipelines, data processing, model training with XGBoost, MLOps automation, security, and deploying scalable endpoints to boost retention and revenue in tech firms. This course equips you to build production-ready ML solutions on AWS.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Build complete churn prediction solutions using AWS SageMaker. Master dataset selection, labelling, feature engineering, data processing, S3 storage, XGBoost model training and tuning, pipeline automation, drift monitoring, security governance, and scalable endpoint deployment for real retention gains.
Elevify advantages
Develop skills
- Design churn ML pipelines on AWS from raw S3 data to live SageMaker endpoints.
- Engineer high-impact churn features fast with SageMaker Processing and Feature Store.
- Configure, train, and tune XGBoost churn models using SageMaker training jobs.
- Automate MLOps pipelines, model registry, monitoring, and retraining on AWS.
- Secure and govern ML workloads with IAM, encryption, drift checks, and audit trails.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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