Forum Discussion
AI-900 Labs cannot be started
Trying to complete the AI-900 course, I cannot get most of the Labs to work.
The lab for image classification started, but some internet filter prevented access to github.com, so I was unable to clone the required repository. 
Hasn't anyone checked this lab?
All the other labs I've tried (object recognition, face recognition) won't even start and don't give any visible hint on what's wrong.
The browser console gave an uncaught exception in a promise with "Access Denied. The specified lab is not available to this API consumer."
I even tried my private account because the "known issues" contained something about troubles with ...onmicrosoft.com-accounts, but to no avail.
Can someone please check the labs and make them work?
Thanks,
Martin Müller
- Where are you trying to run the labs? Is this a sandbox in Microsoft Learn, a lab provided by Skillable, godeploy, or another lab hoster, or your own computer?
Which repo are you using https://github.com/MicrosoftLearning/AI-900-AIFundamentals or https://github.com/MicrosoftLearning/mslearn-ai900Julian_Sharp I'm trying to start them from MS Learn.
The image classification lab tells you to clone the repository github.com/MicrosoftLearning/AI-102-AIEngineer, but github.com is giving timeouts from within VS Code and from a shell, even though github.com can be pinged successfully.
Trying to open github.com/MicrosoftLearning in the browser came up with a web filter alert.
Best regards,
Martin
- Are you completing AI-900 or AI-102, I am confused. Can you provide a link to the MS Learn module as it works for me for this
https://docs.microsoft.com/en-gb/learn/modules/analyze-images-computer-vision/3-analyze-images
PS /home/julian> git clone https://github.com/MicrosoftLearning/AI-900-AIFundamentals ai-900
Cloning into 'ai-900'...
remote: Enumerating objects: 365, done.
remote: Counting objects: 100% (365/365), done.
remote: Compressing objects: 100% (257/257), done.
remote: Total 365 (delta 179), reused 269 (delta 88), pack-reused 0
Receiving objects: 100% (365/365), 16.23 MiB | 1.70 MiB/s, done.
Resolving deltas: 100% (179/179), done.
PS /home/julian>
