Podman AI Lab

Welcome to this course on Podman AI Lab!

Increase your knowledge and gain capabilities in using open source AI Models to provide businesses with AI driven solutions. Accomplished through hands-on practice of successfully installing Podman Desktop, adding the Podman AI Lab extension, downloading & serving AI models, using the playground to experiment & investigate the effectiveness of AI Models, and using the recipe catalog to deploy various AI enabled applications.

In this course, you will use Podman Desktop with the AI Lab Extension: You will experiment with open-source AI models, deploy multiple types of AI-powered applications, and interact with AI model integration code examples using standard laptop / desktop hardware.

This course will be experienced from the perspective of a development team at the GizmoGobble corporation. They have been tasked with integrating an AI powered Chatbot into multiple web interfaces. GizmoGobble’s development team has no experience with the Podman AI Lab software, AI Model serving, or integration of existing applications with AI technology.

This course will guide you through the developers' journey as they install Podman Desktop, add the Podman AI Lab extension, download & serve AI models, use the playground to experiment with & investigate the effectiveness of AI Models, and finally use the recipe catalog to deploy various AI enabled applications.

Course Objectives:

  1. Use Podman Desktop to create a container runtime environment to host an AI model:

    • Gain a basic knowledge of the features of the Podman Desktop Application

    • Understand and apply the components of the Podman AI Lab extension

    • Understand Podman AI Lab from a developer’s perspective

  2. Utilize the playground feature to interact with various AI Models

    • Experiment with AI Models to determine their capabilities

  3. Use code samples to simplify the integration with existing code bases

    • Know where to locate code snippets for integrating AI models into applications

  4. Deploy an AI-enabled application using pre-created templates called recipes.

    • Reverse-engineer open-source code used in recipes for AI-enabled applications

  5. Explain why Podman AI Lab is the entry point for customers into Red Hat’s AI Ecosystem

Prerequisites

  • Basic knowledge of the large language model terminology.

  • Interest in the simplest way to interact with AI Models.

  • Hardware with 4vCPUs, 8GB of memory, and 20-60GB of disk space for a good experience.

  • MacOS, Windows, Linux Operating System with a GUI or Desktop enabled.

Workshop Environment for Red Hat Associates

Red Hat associates can use the Red Hat Demo Platform to provision a Podman Desktop environment.

Use the Getting Started with Podman Desktop catalog item from Red Hat Demo Platform (RHDP).

This lab is currently being updated to latest version of Podman & Podman Desktop. Until that is complete the visuals may look different than those in this course.

When ordering this demo item:

  • Select Practice/Enablement for the Activity field, and Learning about the product for the Purpose.

  • If you have a Salesforce ID for a customer sales opportunity, then copy it to the Salesforce ID field. Otherwise, leave the field blank.

  • In the Region field, select the region closest to your geographic area.

  • Review the auto-stop and auto-destroy timers. You can change these later after classroom provisioning by opening a ticket with the RHDP team.