AI Engineer Career Path - part of path deprecated

Question

Should I still take the deprecated portion of the class? Will I be able to get credit for the class if I skip that part? Here's the page I'm referencing: https://learn.microsoft.com/en-us/plans/odgoumq07e4x83?source=docs

It's the first path in the first milestone.

Screenshot:

Answer 1

The plan shown is a Learn training plan, not a certification exam or Applied Skills assessment. Learn plans track completion only for the modules and learning paths that are actually finished; there is no partial “credit” requirement enforced across specific paths.

From the context provided, only specific courses and Applied Skills assessments are formally retired (for example, the “Develop AI information extraction solutions in Azure” course AI‑3002 and the “Develop computer vision solutions in Azure” course AI‑3004 are listed as retired courseware). When courseware is retired, it’s no longer required for earning new credentials, though it may remain available for reference for some time.

Implications for the AI Engineer Career Path plan:

• Skipping the deprecated learning path will simply leave that item incomplete in the plan’s progress bar; it does not block earning any Microsoft certification or Applied Skills credential, because those are governed by their own, current exam or lab requirements.
• Completing the deprecated path can still be useful for learning, but it is not necessary for current credentials once the related courseware is retired.

So, it is optional to take the deprecated portion. Skipping it will not prevent earning Microsoft certifications or Applied Skills credentials that are based on the current, non‑retired courses and exams.

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References:

• Course retirement
• Introduction to AI in Azure
• Get started with Azure AI Services
• Microsoft Applied Skills: Develop generative AI solutions with Azure OpenAI Service
• Microsoft Applied Skills: Create an intelligent document processing solution with Azure AI Document Intelligence
• Microsoft Applied Skills: Implement AI models with Microsoft Power Platform AI Builder
• Microsoft Applied Skills: Develop generative AI apps with Azure OpenAI and Semantic Kernel