[DEPRECATED] Build and Deploy Machine Learning Solutions on Vertex AI: Challenge Lab Reviews

Rafli A. · Reviewed about 1 year ago

SYA RAIHAN H. · Reviewed about 1 year ago

Vignesh C. · Reviewed about 1 year ago

Hasan A. · Reviewed about 1 year ago

Abdilbar A. · Reviewed about 1 year ago

ubai d. · Reviewed about 1 year ago

shaquille rizki r. · Reviewed about 1 year ago

Yordan A. · Reviewed about 1 year ago

Kwasi F. · Reviewed about 1 year ago

Amritpal V. · Reviewed about 1 year ago

Ahmad Satya W. · Reviewed about 1 year ago

Bintang S. · Reviewed about 1 year ago

Muhammad Ilham R. · Reviewed about 1 year ago

Amritpal V. · Reviewed about 1 year ago

rifki r. · Reviewed about 1 year ago

I recently completed a Qwiklabs challenge lab, and honestly, the experience was frustrating from start to finish. While the idea of hands-on labs is great in theory, the execution leaves a lot to be desired. Poorly Written Instructions – The lab instructions are vague, often outdated, and sometimes completely incorrect. They assume too much prior knowledge without providing proper guidance. Unclear Debugging Support – When errors occur (which they frequently do), there’s little to no structured support to help troubleshoot. The error messages are often cryptic, leaving users to dig through Google Cloud logs with no real guidance. Setup Issues – Basic setup steps like configuring containers, running training jobs, or deploying models frequently break due to missing files or incorrect paths. It feels like no one tested the labs before publishing them. Unreliable Cloud Environment – The environment provided is inconsistent, and sometimes the allotted time isn’t enough to troubleshoot issues caused by Qwiklabs' own setup failures. Unnecessary Complexity – While challenge labs should be challenging, they should also be achievable. Many of the tasks feel needlessly complicated due to bad documentation rather than the actual concepts being tested. Qwiklabs could be a great platform if they focused on up-to-date instructions, better debugging guidance, and more reliable environments. Until then, I can’t recommend it to anyone who values their time. ⭐ Rating: 1.5/5 – Needs serious improvement

Nicholas R. · Reviewed about 1 year ago

Ryan D. · Reviewed about 1 year ago

Bhavik D. · Reviewed about 1 year ago

Bainy K. · Reviewed about 1 year ago

Riski Putra A. · Reviewed about 1 year ago

Abinash P. · Reviewed about 1 year ago

I Putu Eka Putra J. · Reviewed about 1 year ago

Fauzi N. · Reviewed about 1 year ago

khayyoumm G. · Reviewed about 1 year ago

Riski Putra A. · Reviewed about 1 year ago