module #1 Folasaga i le A'oa'oga loloto Va'aiga lautele o a'oa'oga loloto, tala'aga, ma fa'aoga
module #2 Manaomia o le Matematika Iloiloga ole algebra linear, calculus, ma le probability theory
module #3 Neural Networks Basics Fa'atomuaga i feso'ota'iga neural fa'akomepiuta, perceptrons, ma multilayer perceptrons
module #4 Gaoioiga Fa'agaoioiga ma Backpropagation Galuega fa'agaioiga, fa'asolo i tua, ma fa'asolosolo fa'asolosolo
module #5 Fausiaina ma A'oa'oga Neural Networks O le poto masani i le fausiaina ma le aʻoaʻoina o fesoʻotaʻiga neural e faʻaaoga ai se faʻavae aʻoaʻoga loloto
module #6 Convolutional Neural Networks (CNNs) Fa'atomuaga i CNNs, fa'atasi fa'atasi, ma fa'atasi fa'atasi
module #17 A'oa'oga e le'i va'aia ma le fa'aputuina K-means, fa'avasegaina fa'avasega, ma fa'aitiitiga fa'aitiitiga
module #18 A'oa'oga loloto mo le Fa'agaioiina o Gagana Faanatura Upu fa'apipi'i, fa'ata'ita'iga gagana, ma fa'avasegaga o tusitusiga
module #19 Faiga Fa'alogo Faʻalogo ile NLP, transformers, ma le BERT
module #20 A'oa'oga loloto mo Va'aiga Fa'akomepiuta Su'esu'eina o mea, vaevaega, ma le mata'ituina
module #21 Auivi a'oa'oga loloto TensorFlow, PyTorch, ma Keras
module #22 Iloiloga Fa'ata'ita'iga ma le Fa'ata'ita'i Fa'atatau Fuafuaga su'esu'ega fa'ata'ita'iga, fa'alogoina o le hyperparameter, ma fa'amautu fa'asagatau
module #23 A'oa'oga loloto Fa'atino ma Gaosiga Fa'ata'ita'iga fa'ata'ita'iga, fa'ata'ita'iga fa'ata'ita'iga, ma le gaosiga
module #24 Amiotonu ma Amiotonu i Aoaoga loloto Manatu fa'atatau, fa'aituau, ma le sa'o i fa'ata'ita'iga loloto a'oa'oga
module #25 Fa'ai'uga ma Fa'ai'uga Fuafuaina o isi laasaga i galuega a le Deep Learning