<?xml version="1.0" encoding="utf-8" ?>
<!DOCTYPE FL_Course SYSTEM "https://www.flane.de/dtd/fl_course095.dtd"><?xml-stylesheet type="text/xsl" href="https://portal.flane.de/css/xml-course.xsl"?><course productid="37055" language="en" source="https://portal.flane.de/ibb/en/xml-course/microsoft-ai-300t00" lastchanged="2026-04-02T16:28:49+02:00" parent="https://portal.flane.de/ibb/en/xml-courses"><title>Operationalize machine learning and generative AI solutions</title><productcode>AI-300T00</productcode><vendorcode>MS</vendorcode><vendorname>Microsoft</vendorname><fullproductcode>MS-AI-300T00</fullproductcode><version>1.0</version><audience>&lt;p&gt;This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure. It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.&lt;/p&gt;</audience><contents>&lt;ul&gt;
&lt;li&gt;Experiment with Azure Machine Learning&lt;/li&gt;&lt;li&gt;Perform hyperparameter tuning with Azure Machine Learning&lt;/li&gt;&lt;li&gt;Run pipelines in Azure Machine Learning&lt;/li&gt;&lt;li&gt;Trigger Azure Machine Learning jobs with GitHub Actions&lt;/li&gt;&lt;li&gt;Trigger GitHub Actions with feature-based development&lt;/li&gt;&lt;li&gt;Work with environments in GitHub Actions&lt;/li&gt;&lt;li&gt;Deploy a model with GitHub Actions&lt;/li&gt;&lt;li&gt;Plan and prepare a GenAIOps solution&lt;/li&gt;&lt;li&gt;Manage prompts for agents in Microsoft Foundry with GitHub&lt;/li&gt;&lt;li&gt;Evaluate and optimize AI agents through structured experiments&lt;/li&gt;&lt;li&gt;Automate AI evaluations with Microsoft Foundry and GitHub Actions&lt;/li&gt;&lt;li&gt;Monitor your generative AI application&lt;/li&gt;&lt;li&gt;Analyze and debug your generative AI app with tracing&lt;/li&gt;&lt;/ul&gt;</contents><audience_plain>This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure. It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.</audience_plain><contents_plain>- 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</contents_plain><duration unit="d" days="4">4 days</duration><pricelist><price country="US" currency="USD">2595.00</price><price country="CA" currency="CAD">2595.00</price><price country="DE" currency="EUR">2690.00</price><price country="NL" currency="EUR">2095.00</price><price country="CH" currency="CHF">2690.00</price><price country="AT" currency="EUR">2690.00</price><price country="SE" currency="EUR">2690.00</price><price country="SI" currency="EUR">2690.00</price><price country="FR" currency="EUR">3250.00</price><price country="IT" currency="EUR">1690.00</price></pricelist><miles/></course>