modyuli #1 Xingheniso xa Khomphyuta ya le Mapapa Nkatsakanyo wa khomphyuta ya le mapapa, mimbuyelo, na miehleketo ya nkoka
modyuli #2 Nkatsakanyo wa Vaphakeri va le Mapapa Ku pimanisiwa ka vaphakeri lavakulu va le mapapa (AWS, Azure, GCP, IBM Cloud)
modyuli #3 Swisekelo swa Vuhlayiseki bya le Mapapa Swivilelo swa vuhlayiseki, maendlelo lamanene, na ku landzelela eka xigwitsirisi
modyuli #4 Sayense ya Data eka Xirhendzevutani Swilo leswinene swa sayense ya datha leyi simekiweke eka papa, swiyimo swa matirhiselo leswi tolovelekeke
modyuli #5 Swihlawulekisi swa Vuhlayiselo bya le Papa Nkatsakanyo wa vukorhokeri bya vuhlayiselo bya le mapapa (S3, Vuhlayiselo bya Blob, Vuhlayiselo bya le Mapapa)
modyuli #6 Ku Nghena na ku Endliwa ka Data Ku nghenisa na ku tirhisa tidathaseti letikulu eka xigwitsirisi (Kinesis, Event Hubs, Cloud Pub/Sub)
modyuli #7 Vuhlayiselo bya Data lebyi simekiweke eka papa Swintshuxo swa vuhlayiselo bya datha leswi simekiweke eka papa (Redshift, BigQuery, Synapse)
modyuli #8 Dyondzo ya Muchini leyi simekiweke eka papa Nkatsakanyo wa vukorhokeri bya dyondzo ya michini leyi simekiweke eka papa (SageMaker, Azure Machine Learning , AutoML)
modyuli #9 Ku hlanganisiwa ka swikhomela-ndhawu swa Sayense ya Data Ku tirhisa swikhomela-ndhawu (Docker) eka maendlelo ya ntirho ya sayense ya datha leyi nga humelerisiwaka
modyuli #10 Ku Hlela Swikhomela-ndhawu leswi simekiweke eka papa Ku hlengeleta swikhomela-ndhawu eka papa (Kubernetes, ECS, ACI)
modyuli #11 Ku Khomphyuta loku nga riki na Sevha ya Sayense ya Datha Miehleketo ya khomphyuta leyi nga riki na sevha na matirhiselo eka sayense ya datha
modyuli #12 Ku Vona ka Data loku simekiweke eka Papa Switirhisiwa na vukorhokeri bya ku vona datha leyi simekiweke eka papa (Tableau, Power BI, D3. js)
modyuli #13 Nxopaxopo wa Data leyikulu eka Xirhendzevutani Ku lulamisa na ku xopaxopa datha leyikulu eka xigwitsirisi (Hadoop, Spark, HBase)
modyuli #14 Ku Endliwa ka Ririmi ra Ntumbuluko leri simekiweke eka papa Vukorhokeri bya NLP lebyi simekiweke eka papa na switirhisiwa (NLTK, spaCy, Stanford CoreNLP)
modyuli #15 Xivono xa Khomphyuta lexi simekiweke eka papa Vukorhokeri bya xivono xa khompyuta lexi simekiweke eka papa na switirhisiwa (OpenCV, TensorFlow, PyTorch)
modyuli #16 Maqhinga yo Antswisa Ntsengo wa le Papa Tithekiniki to antswisa ku durha ka mapapa eka ndzhwalo wa ntirho wa sayense ya datha
modyuli #17 Vumaki bya le mapapa bya Sayense ya Datha Ku dizayina vumaki bya le mapapa lebyi nga ringanisiwaka na lebyi tirhaka kahle eka ndzhwalo wa ntirho wa sayense ya datha
modyuli #18 Ntirhisano lowu simekiweke eka papa na Vulawuri bya Vuhundzuluxi Ntirhisano na vuhundzuluxi switirhisiwa swo lawula swipano swa sayense ya data eka xigwitsirisi (GitHub, GitLab, Bitbucket)
modyuli #19 Ku Langutisisa na ku Loga leswi simekiweke eka papa Switirhisiwa swo langutisisa na ku loga swa ndzhwalo wa ntirho wa sayense ya datha leyi simekiweke eka papa
modyuli #20 Cloud-based Backup na Ku Vuyisa Maqhinga ya vuhlayiselo na ku vuyisa eka ndzhwalo wa ntirho wa sayense ya datha leyi simekiweke eka papa
modyuli #21 Vuhlayiseki bya le mapapa bya Sayense ya Datha Maendlelo lamanene ya vuhlayiseki eka ndzhwalo wa ntirho wa sayense ya datha eka papa
modyuli #22 Ku Landzelela na Vulawuri bya Mapapa Ku tekeriwa enhlokweni ka ku landzelerisa na vulawuri eka ndzhwalo wa ntirho wa sayense ya datha leyi simekiweke eka papa
modyuli #23 Ku rhurhela Mindzhwalo ya Ntirho ya Sayense ya Datha eka Xirhendzevutani Maqhinga yo rhurhela ndzhwalo wa ntirho wa sayense ya datha ya le ndzeni ka ndhawu eka xigwitsirisi
modyuli #24 Ku aka Datha leyi simekiweke eka Papa Xipano xa Sayense Ku tekeriwa enhlokweni ka nhlangano ku aka ntlawa wa sayense ya datha leyi simekiweke eka papa
modyuli #25 Ku Pfuxeta & Mahetelelo ya Khoso Ku pulana magoza lama landzelaka eka ntirho wa Cloud Infrastructure for Data Science
U lunghekele ku dyondza, ku avelana ni ku phikizana?