Oracle Cloud Infrastructure Data Science Professional(2023): Hands-on Workshop

Module 1: Welcome to Data Science

• Course Overview

Module 2: Introduction and Configuration

• 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

• Projects
• Notebook Sessions
• How to Work with JupyterLab
• Conda Environments: Overview
• Data Science Conda Environments
• Manage Conda Environments
• OCI Vault: Introduction
• Using OCI Vault in OCI Data Science
• Code Repositories (Git)

Module 4: Machine Learning Lifecycle

• ML Lifecycle: Overview
• 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 and WhatIf
• Model Catalog: Overview
• Model Serialization
• Model Deployment

Module 5: MLOps Practices

• MLOps Architecture
• Oracle Cloud Infrastructure Data Science Jobs
• Create and Manage Jobs for Custom Tasks
• Jobs Monitoring and Logging

Module 6: Related OCI Services

• Spark Applications, Data Flow, and Data Science
• Oracle Open Data
• Oracle Cloud Infrastructure Data Labeling
• Oracle AI Perceptual Services
• Oracle AI Decision Services