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AI Catalog Introduction

Learn how the JFrog AI Catalog unifies discovery, governance and deployment to establish an enterprise-grade AI supply chain.

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About this course

 

Course Level: Introductory

Description: Get up to speed with the JFrog AI Catalog - the unified platform for discovering, governing, and deploying AI assets across your organization.
In this course, you'll explore how the AI Catalog solves enterprise challenges by bringing together every role in the AI development lifecycle, from AppSec and DevOps to ML Engineers and Developers, under a single, governed ecosystem.
You'll learn how the AI Catalog enables you to discover and evaluate AI assets, enforce security and compliance policies, eliminates shadow AI, deploy models to production, and monitor their health over time.
By the end, you'll have a clear understanding of how the AI Catalog accelerates delivery and gives your team the confidence to build with AI at scale.

Prerequisites:

  • Basic familiarity with software development and DevOps concepts
  • General understanding of AI/ML terminology

Topics Covered:

  • AI Asset Discovery: How to find and evaluate models, MCP servers, and agent skills in one place
  • Governance & Security: Enforcing policies, eliminating shadow AI, and maintaining compliance
  • Deployment: Getting approved models into production quickly and reliably
  • Monitoring: Tracking model health and performance after deployment

Target Audience:

  • Developers, DevOps Engineers, ML Engineers, AppSec Analysts, Data Scientists

Curriculum00:08:00

  • AI Catalog introduction 00:08:00
  • Share Your Feedback
  • Installation on self-hosted
  • Enabling AI/ML on self-hosted environments

About this course

 

Course Level: Introductory

Description: Get up to speed with the JFrog AI Catalog - the unified platform for discovering, governing, and deploying AI assets across your organization.
In this course, you'll explore how the AI Catalog solves enterprise challenges by bringing together every role in the AI development lifecycle, from AppSec and DevOps to ML Engineers and Developers, under a single, governed ecosystem.
You'll learn how the AI Catalog enables you to discover and evaluate AI assets, enforce security and compliance policies, eliminates shadow AI, deploy models to production, and monitor their health over time.
By the end, you'll have a clear understanding of how the AI Catalog accelerates delivery and gives your team the confidence to build with AI at scale.

Prerequisites:

  • Basic familiarity with software development and DevOps concepts
  • General understanding of AI/ML terminology

Topics Covered:

  • AI Asset Discovery: How to find and evaluate models, MCP servers, and agent skills in one place
  • Governance & Security: Enforcing policies, eliminating shadow AI, and maintaining compliance
  • Deployment: Getting approved models into production quickly and reliably
  • Monitoring: Tracking model health and performance after deployment

Target Audience:

  • Developers, DevOps Engineers, ML Engineers, AppSec Analysts, Data Scientists

Curriculum00:08:00

  • AI Catalog introduction 00:08:00
  • Share Your Feedback
  • Installation on self-hosted
  • Enabling AI/ML on self-hosted environments
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