# ddc-2021-development-to-production

**Repository Path**: mirrors_ibm/ddc-2021-development-to-production

## Basic Information

- **Project Name**: ddc-2021-development-to-production
- **Description**: IBM Digital Developer Conference - Data & AI 2021 course showcasing aspects of the AI and Machine Learning lifecycle going from development to production.
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-05-20
- **Last Updated**: 2025-08-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AI from Development to Production

In this course/workshop for the IBM Digital Developer Conference: Data & AI, we get hands-on experience building and deploying machine learning models. We will look at a variety of topics in the development to production lifecycle. This will include: data processing, automated model development tools, approaches to model deployment, versioning of model deployments, movement of models across environments and trust in AI. All using capabilities on Cloud Pak for Data.

This course is intended to be viewed through the GitHub pages for this repository. The link is shown in the `About` panel on the top right of this page.