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Madbax

By Udemy · Official page

Forward Deployed Engineering: Discovery to Production

About this item

Forward Deployed Engineering: Discovery to Production

Course Curriculum

  • 13 sections • 87 lectures • 12h 20m total length

Compatibility & Requirements

  • You can write Python and call a REST API. You do not need to be fluent
  • Basic Git and command line. Docker installed for the deployment section
  • An account with any major LLM provider — every lab fits inside a free tier
  • No machine learning background required. You will integrate and evaluate models, not train them

Frequently Asked Questions

How does instant Telegram delivery via @madbaxapp_bot work?

Activate any plan from $5, then press Download on this page: 6 files (5.6 GB) are sent to your Telegram chat instantly by the bot @madbaxapp_bot.

How do I extract multi-part .part01.rar archives on Windows and macOS?

Download all volumes (.part01.rar, .part02.rar … .partN.rar) into one folder, then start the extraction only from the first volume, part01.rar. On Windows use WinRAR or 7-Zip; on macOS use Keka or The Unarchiver. The other volumes are read automatically.

What is included in the download archive?

The archive includes all project and video files for this release. It does not include one-to-one mentoring or certificates from the original school.

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