Every Chef, regardless of their department, should first go through the shared plan on START HERE → Shared Path. By the fourth week, the field-specific schedule begins as follows:
Data Scientist Bootcamp Path
Concept
Weeks
Description
Test Knowledge
Week 4
Using built-in algos on SageMaker
Build/deploy a simple linear model/xgboost for classification/regression
Week 6
Building custom containers to build/deploy models on SageMaker
Containarize a custom algorithm, push to ECR, Train and deploy a model using it
Week 7
Production management operations for ML models
Perform automatic model tuning and deploy the best one, etc
Week 8
Production management operations for ML models
Stream training data, quickly deploy models
Week 10
Getting more hands-on experiences and designing workflows
Designing an automated workflow for training/deployment on SageMaker
Week 11
How to tell a Story with Data, Amazon Quicksight, Metabase
Present a high-level presentation using storytelling principles
Week 12+1
Bias detection, explainability, model understanding
Build a recommender system and add explainability to it
Week 12+2
define, understand, develop and report a problem and its solution in a data science project
DS Bootcamp Status
Name
Buddy Chef
Current Progress
🍲 Cooking!
Special topics/skills
