RRepoGEO

REPOGEO REPORT · LITE

MicrosoftLearning/AI-102-AIEngineer

Default branch master · commit 33429397 · scanned 6/5/2026, 5:27:50 AM

GitHub: 928 stars · 1,042 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface MicrosoftLearning/AI-102-AIEngineer, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Update the repository description to reflect deprecation

    Why:

    CURRENT
    Lab files for AI-102 - AI Engineer
    COPY-PASTE FIX
    DEPRECATED: Lab files for AI-102 - AI Engineer. This repo is no longer supported; see README for active learning resources.
  • hightopics#2
    Add 'deprecated' and 'archived' topics

    Why:

    CURRENT
    data-ai
    COPY-PASTE FIX
    data-ai, deprecated, archived
  • mediumreadme#3
    Enhance README's deprecation message for clarity and prominence

    Why:

    CURRENT
    # DEPRECATED
    
    This repo is no longer supported. The lab files for course AI-102 (and other AI-related courses) are distributed across multiple repo's:
    COPY-PASTE FIX
    # ⚠️ DEPRECATED: This Repository is No Longer Supported ⚠️
    
    **DO NOT USE THIS REPO for current AI-102 lab files.** The content here is outdated and no longer maintained. For active and up-to-date lab files for AI-102 and other AI-related courses, please refer to the following repositories:

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface MicrosoftLearning/AI-102-AIEngineer
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Skills Boost
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Skills Boost · recommended 2×
  2. DataCamp · recommended 2×
  3. Coursera Labs · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. AWS Skill Builder · recommended 1×
  • CATEGORY QUERY
    Looking for interactive lab environments to practice core AI engineering skills.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Skills Boost
    2. DataCamp
    3. Coursera Labs
    4. Kaggle Learn
    5. AWS Skill Builder
    6. DeepLearning.AI
    7. Jupyter Notebooks
    8. Google Colab
    9. Kaggle Notebooks

    AI recommended 9 alternatives but never named MicrosoftLearning/AI-102-AIEngineer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find tutorials for developing solutions with cognitive services and large language models?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Learn
    2. Azure AI Services
    3. Azure OpenAI Service
    4. OpenAI Documentation & Cookbook
    5. GPT-3.5
    6. GPT-4
    7. DALL-E
    8. Google Cloud Skills Boost
    9. Qwiklabs
    10. Vertex AI
    11. Google Cloud Vision AI
    12. Natural Language AI
    13. Coursera
    14. deeplearning.ai
    15. edX
    16. IBM
    17. Towards Data Science
    18. Medium
    19. freeCodeCamp.org
    20. DataCamp
    21. Tech with Tim

    AI recommended 21 alternatives but never named MicrosoftLearning/AI-102-AIEngineer. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of MicrosoftLearning/AI-102-AIEngineer?
    pass
    AI did not name MicrosoftLearning/AI-102-AIEngineer — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts MicrosoftLearning/AI-102-AIEngineer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MicrosoftLearning/AI-102-AIEngineer explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo MicrosoftLearning/AI-102-AIEngineer solve, and who is the primary audience?
    pass
    AI did not name MicrosoftLearning/AI-102-AIEngineer — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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