---
title: AI-300 Labs
description: "Lab exercises for AI-300: Operationalizing Machine Learning and Generative AI Solutions. Includes Microsoft Learn and Microsoft GitHub labs."
---

**Microsoft Learn:**

:::note
Microsoft Learn Sandboxes require you to bring in your own subscription.
:::

### Experiment with Azure Machine Learning

### Perform hyperparameter tuning with Azure Machine Learning

### Run pipelines in Azure Machine Learning

### Trigger Azure Machine Learning jobs with GitHub Actions

### Trigger GitHub Actions with feature-based development

### Work with environments in GitHub Actions

### Deploy a model with GitHub Actions

### Plan and prepare a GenAIOps solution

### Manage prompts for agents in Microsoft Foundry with GitHub

### Evaluate and optimize AI agents through structured experiments

### Automate AI evaluations with Microsoft Foundry and GitHub Actions

### Monitor your generative AI application

### Analyze and debug your generative AI app with tracing

**Microsoft GitHub:**

:::note
Microsoft GitHub labs are series of labs designed to be used in Microsoft Instructor Lead Trainings delivered by Microsoft Certified Trainers where participants also have access to the environment to perform them. This means that for everyone else, it is necessary to bring your own environment to go through them.
:::

### Proseware Case Study - Design machine learning solution

### Find the best classification model with Azure Machine Learning

### Optimize model training in Azure Machine Learning

### Perform hyperparameter tuning with a sweep job

### Run pipelines in Azure Machine Learning

### Plan and prepare an MLOps solution with Azure Machine Learning

### Automate model training with GitHub Actions

### Deploy and monitor a model in Azure Machine Learning

### Plan and prepare a GenAIOps solution

### Develop prompt and agent versions

### Design and optimize prompts

### Automated evaluation with cloud evaluators

### Monitor and trace your generative AI agent

### Optimize AI agents with fine-tuning