UMTUBA Learning — live product catalog and routes.
Public courses
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
Practical Python for AI product builders: venv, scripts/modules, JSON/files, safe config, HTTP with **requests**, and a reusable utility toolkit portfolio project.
Train production-ready habits for AI builders: professional editor/terminal workflows (VS Code/Cursor), Git/GitHub collaboration, canonical project architecture, configuration & secrets, logging, debugging, testing fundamentals, documentation, AI-assisted coding norms, and a reusable AI repo template portfolio project.
Application-first AI apps course with labs and projects.
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
Practical Python for AI product builders: venv, scripts/modules, JSON/files, safe config, HTTP with **requests**, and a reusable utility toolkit portfolio project.
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
Practical Python for AI product builders: venv, scripts/modules, JSON/files, safe config, HTTP with **requests**, and a reusable utility toolkit portfolio project.
Train production-ready habits for AI builders: professional editor/terminal workflows (VS Code/Cursor), Git/GitHub collaboration, canonical project architecture, configuration & secrets, logging, debugging, testing fundamentals, documentation, AI-assisted coding norms, and a reusable AI repo template portfolio project.
Application-first AI apps course with labs and projects.
Beginner