Advanced5 missions · ~10 hours
SageMaker Summit
The heart of the MLA-C01 exam. Set up SageMaker Studio, train XGBoost models, deploy real-time endpoints, run batch inference, and build no-code models with Canvas.
Missions in This Path
1
Set Up SageMaker Studio & Notebooks
Configure SageMaker Studio IDE and run your first ML notebook.
30 min
SageMaker
2
Train an XGBoost Model on SageMaker
Run a managed XGBoost training job with SageMaker built-in algorithms.
40 min
SageMaker
3
Deploy a Real-Time Inference Endpoint
Deploy your trained model to a SageMaker real-time endpoint.
35 min
SageMaker
4
Run Batch Inference with SageMaker
Process large datasets offline with SageMaker Batch Transform.
30 min
SageMakerS3
5
Build No-Code ML Models with Canvas
Create ML models without writing code using SageMaker Canvas.
25 min
SageMaker Canvas
Complete all missions to earn
SageMaker Summit Pioneer (Gold)
Verified badge on your public portfolio
Ready to build?
Every mission runs in a safe AWS sandbox. Automated validators check your actual resources. Complete missions show up in your verified portfolio.
Launch Cloud Edventures →