Path detail

Responsible AI and Evals Study Guide

Governance, safety, evaluation, ethics, and AI risk-management resources.

Step 1Required
Machine Learning Explainability

Starts with a solid on-ramp into the topic.

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Step 2Required
Intro to AI Ethics

Builds on the previous step with a complementary provider angle.

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Step 3Required
Evaluating and Debugging Generative AI Models Using Weights and Biases

Builds on the previous step with a complementary provider angle.

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Step 4Optional
Responsible AI with GitHub Copilot

Builds on the previous step with a complementary provider angle.

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Step 5Optional
Automate AI evaluations with Microsoft Foundry and GitHub Actions

Builds on the previous step with a complementary provider angle.

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Step 6Optional
Introduction to Responsible AI

Builds on the previous step with a complementary provider angle.

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Step 7Optional
Adversarial Testing for Generative AI

Builds on the previous step with a complementary provider angle.

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Step 8Optional
Building and Evaluating Advanced RAG Applications

Builds on the previous step with a complementary provider angle.

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Step 9Optional
Apply governance controls to AI-ready workloads

Builds on the previous step with a complementary provider angle.

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Step 10Optional
Explore AI governance for AI ready infrastructure

Builds on the previous step with a complementary provider angle.

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Step 11Optional
Protect and govern AI ready infrastructure with Azure

Builds on the previous step with a complementary provider angle.

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Step 12Optional
Run governed AI workloads with Microsoft Foundry

Builds on the previous step with a complementary provider angle.

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Step 13Optional
Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud

Rounds out the path with broader depth or specialization.

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