Oracle Cloud Infrastructure Data Science

COURSE TOPICS

Module 1 : Course Introduction

• Introduction

Module 2 : Introduction and Configuration

• OCI Data Science Introduction
• ADS SDK Overview
• Tenancy Configuration Basics
• Configure a Tenancy with OCI Resource Manager
• Networking for Data Science
• Authenticate to OCI APIs

 Module 3 : Workspace Design and Setup

• How to Work with JupyterLab
• Conda Environment: Overview
• Data Science Conda Environments
• Manage Conda Environments
• OCI Vault – Introduction
• Using OCI Vault in OCI Data Science
• Code Repositories Git

 Module 4 : Workspace Design and setup

• ML Lifecycle
• Access Data
• Data Preprocessing
• Introduction to Feature Types
• Custom Feature Types
• Data Visualization
• Model Training
• Oracle AutoML – Introduction
• Hyperparameter Tuning – ADSTuner
• Model Evaluation
• Model Explanations: Global Explainer
• Model Explanations: Local Explainer
• Model Catalog Overview
• Serialization and Managing Models
• Model Deployment

 Module 5 : MLOps Practices

• MLOps Architecture
• Data Science Jobs
• Monitoring Logging

 Module 6 : Related OCI Services

• Spark Applications, Data flow, and Data science
• Oracle Open Data
• OCI Data Labeling
• AI Perceptual Services
• AI Decision Services