I-Cloud Computing Yesayensi Yedatha
( 25 Amamojula )

module #1
Isingeniso ku-Cloud Computing
Uhlolojikelele lwe-cloud computing, umlando walo, nokuziphendukela kwemvelo

module #2
Amamodeli Wesevisi Yekhompyutha Yamafu
Ukuhlola amamodeli wesevisi ye-IaaS, PaaS, ne-SaaS

module #3
Amamodeli Okuthunyelwa Kwamafu
Ukuqonda amamodeli okusetshenziswa kwamafu omphakathi, ayimfihlo, ahlanganisiwe, kanye nawomphakathi

module #4
Abahlinzeki Bamafu namathrendi emakethe
Uhlolojikelele lwabahlinzeki abakhulu bamafu (AWS, Azure, GCP, IBM) namathrendi emakethe

module #5
Isayensi Yedatha ku-Cloud
Isethulo sesayensi yedatha emafini, izinzuzo, nezinselele

module #6
Isitoreji Samafu Sesayensi Yedatha
Ihlola izinketho zesitoreji samafu (isitoreji se-blob, isitoreji sento, isitoreji sefayela)

module #7
Cloud Data Warehousing
Isingeniso sokugcinwa kwedatha yamafu, i-Amazon Redshift, ne-Google BigQuery

module #8
I-Cloud-based Data Lakes
Ukwakha amachibi edatha ngesitoreji samafu, i-AWS Lake Formation, ne-GCP Cloud Storage

module #9
Ama-database e-NoSQL asekelwe emafini
Ukuhlola imininingo egciniwe ye-NoSQL esekelwe efwini, i-Amazon DynamoDB, ne-Google Cloud Firestore

module #10
Izingosi Zolwazi Ezisekelwe Efwini
Ukuhlola imininingo egciniwe yobudlelwano esekelwe emafini, i-Amazon RDS, ne-Google Cloud SQL

module #11
I-Cloud-native Data Processing
Isethulo sokucutshungulwa kwedatha yomdabu, i-Apache Spark, ne-Apache Flink

module #12
Ukufunda ngomshini okusekelwe emafini
Isingeniso sokufunda ngomshini okusekelwe emafini, i-AWS SageMaker , kanye ne-Google Cloud AI Platform

module #13
I-Cloud-based Deep Learning
Isingeniso sokufunda okujulile okusekelwe emafini, i-TensorFlow, ne-PyTorch

module #14
Ukuvikeleka kwamafu nokuthobelana
Uhlolojikelele lokuphepha nokuthobelana kwamafu, I-IAM, nokubethela kwedatha

module #15
Ukuthuthukiswa Kwezindleko Zefu
Amasu okuthuthukisa izindleko zamafu, ukulinganiselwa kwezindleko, kanye nokusetshenziswa kwezinsiza

module #16
Ukufuduka Kwamafu Nokuthunyelwa
Ukuthuthela imithwalo yomsebenzi yesayensi yedatha emafini, ukufakwa kweziqukathi, kanye ne-serverless computing

module #17
Ukusebenzisana okusekelwe emafini kanye Nokulawula Inguqulo
Kusetshenziswa amathuluzi okuhlanganyela asekelwe emafini, i-GitHub, ne-GitLab yesayensi yedatha

module #18
Ukubukwa kwedatha okusekelwe emafini
Ukubona ngeso ledatha okusekelwe emafini , Tableau, Power BI, and D3.js

module #19
Cloud-based Workflow Automation
Automating data science science, Apache Airflow, and Zapier

module #20
Cloud-based Model Deployment and Management
Ukukhipha kanye ophethe amamodeli okufunda omshini efwini

module #21
Izifundo Zesayensi Yedatha Esekelwe Efu
Izifundo zezibonelo zomhlaba wangempela zamaphrojekthi wesayensi yedatha esekelwe emafini

module #22
Imikhuba Engcono Kakhulu Yesayensi Yedatha Esekelwe Efu
Imikhuba engcono kakhulu yesayensi yedatha esekelwe emafini, izakhiwo, nokusebenzisa

module #23
Isayensi Yedatha Esekelwe Efu Yezimboni Ezithile
Izicelo zesayensi yedatha esekelwe emafini yokunakekelwa kwezempilo, ezezimali, nokudayiswa

module #24
Ikusasa lika I-Cloud Computing Yesayensi Yedatha
Amathrendi avelayo nezikhombisi-ndlela zesikhathi esizayo ze-cloud computing kusayensi yedatha

module #25
Ukugoqwa Kwezifundo & Isiphetho
Ukuhlela izinyathelo ezilandelayo ku-Cloud Computing yomsebenzi Wesayensi Yedatha

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XHUMANA NATHI INQUBOMGOMO YOBUMFIHLO

I-Cloud Computing Yesayensi Yedatha ( 25 Amamojula )

Ukulungele ukufunda, ukwaba, nokuncintisana?

Umsizi Wokufunda UlimiNgosekelo Lwezwi

I-Cloud Computing Yesayensi Yedatha
( 25 Amamojula )

Umsizi Wokufunda Ulimi
Ngosekelo Lwezwi