- Izitifiketi ze-AI ziqinisekisa amakhono asebenzayo ekufundeni komshini, i-AI yokukhiqiza, kanye nezinsizakalo zamafu.
- Kunezindlela zazo zonke izigaba: kusukela eziyisisekelo kuya eziqinisekisweni ezithuthukisiwe kanye nezindinganiso ze-ISO.
- Zithuthukisa ukuqasheka, umholo ongaba khona, kanye nokufinyelela ezindimeni ezibalulekile emikhakheni eminingi.
- Ukukhetha okuhle kuncike kokuhlangenwe nakho kwakho kwangaphambilini, imigomo yobungcweti, kanye nohlelo lobuchwepheshe.
Isitifiketi sobuhlakani bokwenziwa sesibe ngesinye seziqinisekiso zobungcweti ezibaluleke kakhulu emakethe yemisebenzi yanamuhla. I-AI ishintsha indlela izinkampani ezisebenza ngayo, indlela ezenziwa ngayo izinqumo, nokuthi yimaphi amaphrofayili abhekwa njengamaqhinga cishe kuyo yonke imikhakha.
Njengoba ubuhlakani bokwenziwa obukhiqizayo, ukufunda komshini, kanye nezixazululo zamafu zitholakala kalula, ukuba nesitifiketi esisemthethweni esiqinisekisa amakhono akho kukuhlukanisa nabanye abantu abazongenela ukhetho. Kulo mhlahlandlela ophelele, uzobona ukuthi yiziphi izinhlobo zezitifiketi ezikhona, ukuthi ufundani kuzo, ukuthi zibiza malini, ukuthi zinikeza amathuba emisebenzi anjani, nokuthi ungakhetha kanjani esifanelana kahle nemigomo yakho.
Kungani ukuthola isitifiketi ku-Artificial Intelligence kufanelekile
Esimweni lapho i-AI ihlanganiswe khona kwezokunakekelwa kwempilo, ezezimali, imboni, ukuphathwa komphakathi, kanye nokumaketha, isitifiketi siyindlela eqondile nengakhethi yokubonisa ubuchwepheshe bakho bezobuchwepheshe . Akugcini nje ngokufakazela ukuthi ufundile, kodwa futhi nokuthi uphumelele ukuhlolwa noma ukuhlolwa okuvunyelwe yisikhungo esiqashelwayo.
Izinkampani zifuna ochwepheshe abakwaziyo ukuklama nokusebenzisa amamodeli okufunda komshini, amanethiwekhi e-neural, kanye nezinhlelo ze-AI ekukhiqizeni . Ngesitifiketi esifanele, ungaphishekela imisebenzi efana nonjiniyela we-AI, usosayensi wedatha, umthuthukisi wezixazululo zokufunda komshini, umhlaziyi wedatha othuthukisiwe, noma umeluleki we-AI.
Ngaphezu kwalokho, izitifiketi eziningi zifaka phakathi amaphrojekthi asebenzayo, izivivinyo zelebhu, noma izivivinyo zokulingisa ezidinga ukuthi usebenze ngamacala ebhizinisi langempela kanye nedatha . Le ngxenye ewusizo ibalulekile ekuqinisekiseni ukuthi awuthembeli nje kuphela emcabangweni futhi unganikela ngenani kusukela ngosuku lokuqala emsebenzini.
Enye inzuzo ebalulekile ukuthi kungenzeka ukuthi kukhushulwe amaholo kanye nokuthuthuka emsebenzini . Isidingo sochwepheshe be-AI siyaqhubeka nokukhula, futhi izinhlangano zizimisele ukukhokhela amaholo ancintisanayo kulabo abazi kahle lobu buchwepheshe futhi abangabubonisa ngeziqinisekiso ezisemthethweni.
Okokugcina, ukuthola isitifiketi esiqashelwayo kuthuthukisa idumela lakho nokubonakala kwakho embonini . Kukusiza ukuthi uzibeke njengochwepheshe osesikhathini, ovula iminyango yezinqubo zokuqasha ezikhethekile, futhi, ezimweni eziningi, ohlinzeka ngokufinyelela emiphakathini, emicimbini, kanye nezinsiza ezengeziwe kubantu abaqinisekisiwe kuphela.
Izitifiketi zobuchwepheshe eziyinhloko ku-AI kanye nokufunda komshini
Ngaphakathi kwendawo yamanje, kunezitifiketi eziningana ezibhekwa njengezinga lokulinganisa lamazwe ngamazwe kubuhlakani bokwenziwa . Ngayinye ihloselwe iphrofayili ethile, ihlanganisa ubuchwepheshe obuhlukile, futhi idinga izinga elihlukile lolwazi. Ngezansi, zichazwe ngokuningiliziwe ukuze ukwazi ukuziqhathanisa ngempumelelo.
Isitifiketi Sonjiniyela we-TensorFlow (i-Google) siwukugunyazwa okugxile ekusetshenzisweni kobungcweti kwe-TensorFlow, enye yezincwadi ezivulekile ezisetshenziswa kakhulu zokufunda komshini nokufunda okujulile. Ukuhlolwa kuwusizo kakhulu futhi kuklanyelwe ukukhombisa ikhono lakho lokwakha, ukuqeqesha, nokuhlola amamodeli embonweni ojwayelekile wekhompyutha, ukucubungula ulimi lwemvelo, kanye nezinkinga zedatha ezihlelekile.
Ukuze ubhale lesi sivivinyo, kunconywa isisekelo esiqinile ku-Python, izibalo eziyisisekelo, kanye nezisekelo zokufunda komshini . Isivivinyo sithatha cishe amahora amahlanu, siphathwa ku-inthanethi, futhi sibiza cishe u-$100 USD. Ngesikhathi sesivivinyo, kufanele uthuthukise ikhodi yokuxazulula uchungechunge lwezinselelo, ngakho-ke ukuzijwayeza ngamaphrojekthi angokoqobo ngaphambi kokuzama kubalulekile.
Isitifiketi esifunwa kakhulu ezindaweni zamafu yi- AWS Certified Machine Learning – Specialty . I-Amazon Web Services inikeza uhlelo oluthuthukisiwe oluhlanganisa ukuklama, ukusebenzisa, kanye nokugcinwa kwezixazululo zokufunda komshini epulatifomu yayo, okuhlanganisa nezinsizakalo ezifana ne-SageMaker, ukugcinwa kwedatha , ukuthunyelwa, kanye nokuqapha.
Kulesi simo, iziqu ezinconywayo zifaka phakathi ulwazi lwangaphambilini lokusebenzisa i-AWS, ukujwayelana nama -algorithms okufunda aqondisiwe nangagadiwe , kanye nokuqonda imikhuba emihle yobunjiniyela bedatha. Ukuhlolwa kuqukethe imibuzo enezimpendulo eziningi kanye nezimpendulo ezilodwa, kubiza cishe u-$300 USD, futhi kuqondiswe kochwepheshe abanolwazi oluthile: onjiniyela bedatha, ososayensi bedatha, noma abaklami bamafu.
Uma indawo yakho eyinhloko kuyi-Microsoft, isitifiketi se -Microsoft Certified: Azure AI Engineer Associate sibaluleke kakhulu. Sigxile ekwakheni izixazululo ze-AI ku-Azure: ukusebenzisa izinsizakalo zokuqonda (umbono, inkulumo, umbhalo, ukuhumusha), ama-bots, ukwakheka kokugeleza, kanye nokuhlelwa kwemodeli.
Okungcono kakhulu, kufanele ube nokuqonda okuyisisekelo nge-Azure, uhlelo, kanye nemibono eyisisekelo ye-AI . Ukuhlolwa okukhethwa kukho okuningi kubiza cishe u-$165 USD futhi kuhloselwe onjiniyela be-AI yamafu, abathuthukisi abahlanganisa izinsizakalo zokuqonda ezinhlelweni zokusebenza, kanye nochwepheshe be-IT abasebenzisa izixazululo ezihlakaniphile ku-Azure.
Ezinye izitifiketi nezinhlelo ezithuthukisiwe ku-Artificial Intelligence
Ngaphandle kwabahlinzeki abakhulu bamafu, kunezitifiketi ezikhethekile ezihlose ukunikeza umbono ophelele wobuhlakani bokwenziwa kusukela kokubili embonweni wezobuchwepheshe kanye nowebhizinisi. Abanye bahlola izisekelo zemfundiso, abanye bahlola izinhlelo zokusebenza zebhizinisi, kanti abanye bahlola ukuphathwa okunesibopho kwe-AI.
Isibonelo esisodwa isitifiketi se- Certified Artificial Intelligence Professional (CAIP) , esikhishwe yi-United States Artificial Intelligence Institute (USAII). Lolu hlelo luhlanganisa imiqondo yesakhiwo se-AI, ukufunda komshini, nokufunda okujulile, kanye nokusetshenziswa kwama-algorithms, amanethiwekhi e-neural, kanye nezinhlelo zokusebenza ze-AI ezindaweni zezinkampani.
Ukuze uthathe i-CAIP, ulwazi ekuhleleni izinhlelo, izibalo (i-algebra, amathuba, i-calculus eyisisekelo) , kanye nokujwayelana nemitapo yolwazi yokufunda komshini kuyanconywa. Ukuhlolwa kuvame ukuba nemibuzo eyi-100 enezinketho eziningi futhi kubiza cishe u-$990 USD, okwenza kube yisitifiketi sezinga eliphezulu esenzelwe ochwepheshe abafuna ukuqashelwa emhlabeni jikelele.
Ngaphakathi kwe-ecosystem ye-Google kukhona nesitifiketi se- Google Professional Machine Learning Engineer , esigxile ekwakheni amamodeli okufunda omshini angandiswa futhi asebenzayo ku-Google Cloud. Uhlelo lwezifundo luhlanganisa ukwakheka kwesisombululo se-ML kusukela ekuqaleni kuya ekugcineni, ukukhethwa kwamamodeli, ukuhlolwa, ukuthunyelwa, ukuqapha, kanye nokwenza ngcono izindleko.
Kunconywa ulwazi ngokuhlela (ngokuvamile i-Python), ukuqonda okuqinile kokufunda komshini okudala nowokufunda okujulile , kanye nolwazi lwangaphambilini lokusebenza nezinsizakalo ze-Google Cloud. Ukuhlolwa kuqukethe imibuzo enezinketho eziningi, kubiza cishe u-$200 USD, futhi kuhlose ukuqinisekisa amakhono obuchwepheshe kanye nezinqumo zokuklama ezigxile ebhizinisini.
Ngaphakathi kwe-ecosystem ye-Microsoft, ngale kobunjiniyela be-Azure, isitifiketi se -Designing and Implementing Azure AI Solution sivelele njengesibaluleke kakhulu ngokobungcweti. Inhloso yaso ukuqeqesha ochwepheshe abakwazi ukuklama, ukuhlanganisa, nokufaka izixazululo ze-AI eziyinkimbinkimbi ku-Azure besebenzisa izinsizakalo zokuqonda, amamodeli okufunda komshini, kanye nezinsizakusebenza zekhompyutha ezisebenza kahle kakhulu.
Le ndlela yokufunda yenzelwe abathuthukisi, onjiniyela bezixazululo, kanye nochwepheshe be-IT asebevele benolwazi nge-Azure futhi abafuna ukugxila ku-AI. Izinhloso zokufunda zifaka phakathi ukuhlanganisa ama-API okuqonda, ukuphatha amapayipi e-ML, ukwenza ngcono izinsiza, kanye nokusebenzisa izindlela ezinhle kakhulu zokuphepha nokuthobela imithetho.
Izitifiketi Zesingeniso Nesisekelo ku-AI
Akuwona wonke umuntu okudingeka aqale ngezitifiketi ezithuthukisiwe; kunezindlela eziklanyelwe njengezindawo zokungena ezweni lobuhlakani bokwenziwa , ezilungele uma usaqala noma uma indima yakho igxile kakhulu ebhizinisini kunobuchwepheshe kuphela. Lezi zitifiketi zikunikeza ulwazi lwamagama, isisekelo somqondo, kanye nokuhlangenwe nakho kokuqala okusebenzayo.
Enye yezintandokazi kakhulu yi -Microsoft Azure AI Fundamentals (AI-900) , enikeza umbono ophelele futhi ofinyelelekayo we-AI eyisisekelo kanye nemibono yokufunda komshini ngaphakathi komongo we-Azure. Akudingi ulwazi oluningi lwangaphambilini; kudingeka intshisekelo kanye namakhono ekhompyutha ajwayelekile kuphela.
Ngalesi sitifiketi, uzofunda ukuhlonza izimo ezijwayelekile zokusetshenziswa kwe-AI , uqonde izinsizakalo zokuqonda ze-Azure (umbono, inkulumo, ulimi, izinqumo), futhi ujwayelane nokudala amamodeli alula okufunda komshini. Ilungele abaqalayo, abathuthukisi abancane, abasebenzi be-IT, kanye nochwepheshe bebhizinisi abafuna ukuqonda ukuthi i-AI inikezani ngaphandle kokufunda ikhodi ethuthukisiwe.
Lolu hlelo luhlanganisa ukuhlukaniswa, ukuhlehla, ukuqoqana, amanethiwekhi e-neural, kanye nokwakheka okujulile . Umgomo uwukuba ukwazi ukuklama, ukuqeqesha, kanye nokusebenzisa amamodeli asetshenziswa ezinkingeni zebhizinisi langempela, ngengxenye enamandla esebenzayo.
Amapulatifomu afana ne-LinkedIn Learning anikeza izifundo ezifana ne- Deep Learning Image Recognition , ezigxile ezizindeni ezithile ze-AI, kulokhu, umbono wekhompyutha. Ngalezi zifundo, ufunda ukuqeqesha amamodeli okuqaphela izithombe nge-TensorFlow, kusukela ekulungiseleleni idatha kuya ekuhlolweni kokusebenza.
Kukhona nezinhlelo zokuqeqesha ezisekelwa yi-Google ezihlanganisa isingeniso ekufundeni komshini kanye ne-AI yokukhiqiza, okubandakanya ukusebenza ngezibonelo zangempela zokwakha amamodeli kanye nokuhlaziywa kwedatha. Nakuba eziningi zalezi zindlela ziqala njengezifundo, zivame ukuhambisana nezitifiketi ezisemthethweni noma iziqinisekiso eziqinisekiswe yipulatifomu uqobo.
Ukuqeqeshwa okukhethekile ku-AI yokukhiqiza kanye nobunjiniyela obusheshayo
Eminyakeni yamuva nje, i-AI yokukhiqiza kanye nobunjiniyela obusheshayo kuye kwazuza ukubaluleka okukhulu , futhi lezi zindawo zihlanganiswa nezitifiketi nezifundo ezithuthukisiwe. Lobu buchwepheshe buvumela ukukhiqizwa kombhalo, izithombe, umsindo, nevidiyo, futhi kudinga ukuqonda amamodeli afana nama-transformer kanye namanethiwekhi okuphikisana okukhiqiza (ama-GAN).
Kunezinhlelo ezithile ezifundisa umehluko phakathi kwe-AI ekhiqizayo nezinye izinhlobo ze-AI, amamodeli asekela ukukhiqizwa kokuqukethwe, kanye nezindlela ezibalulekile zokudala , ukucwenga, kanye nokwenza ngcono izikhuthazo . Ingxenye esebenzayo igxile kokubili ekusebenziseni amathuluzi ezentengiselwano kanye nokuqonda okwenzekayo "ngaphansi kwe-hood."
Lezi zinhlobo zezifundo zivame ukumboza wonke umjikelezo: kusukela ekukhiqizeni umbhalo nezithombe kuya ekuguquleni amafomethi e-multimedia, kufaka phakathi izinhlelo zokusebenza ekudalweni kokuqukethwe, ukuzenzakalela kwemisebenzi, kanye nokuhlaziywa kwedatha okuthuthukisiwe . Ziyizindlela eziwusizo kokubili kumaphrofayili obuchwepheshe kanye nochwepheshe bokudala noma bebhizinisi abafuna ukusebenzisa i-AI yokukhiqiza ngaphandle kwesidingo sokuhlela ezingeni eliphansi.
Isici esibalulekile indlela yokuziphatha neyenhlalo. Eziningi zalezi zinhlelo zifaka phakathi amamojula anikezelwe kubumfihlo bedatha, ukucwasa kumamodeli, imiphumela yezomthetho, kanye nempahla yobuhlakani . Lokhu kubalulekile ngoba ukwamukelwa okunesibopho kwe-AI yokukhiqiza kudinga ukuqonda izingozi zayo nokwazi ukuthi ungazinciphisa kanjani.
Njengenzuzo eyengeziwe, ezinye izinhlangano zifaka ukufinyelela kumathuluzi okulungiselela afana ne -CertPREP ukuze zisebenzele izitifiketi ezisemthethweni, njenge-Generative AI Foundations Certification. Ziphinde zigcwalise ukuqeqeshwa okuku-inthanethi ngamaseshini e-webinar abukhoma lapho umfundisi ebukeza khona imiqondo, ethula izimo ezisebenzayo, futhi ephendula imibuzo.
Lezi zikhathi zivame ukubanjelwa ngezinsuku eziningana, kanye namabhulokhi anikezelwe ekwethulweni kwe-AI yokukhiqiza, ubunjiniyela obusheshayo kanye nokuhluzwa , ukucatshangelwa kokuziphatha, kanye nokulungiselela okuthile kokuhlolwa okusemthethweni. Amarekhodi ayatholakala epulatifomu yokufunda nge-e ukuze ukwazi ukuwabuyekeza ngesikhathi esivumelana nawe.
Isitifiketi se-ISO sezinhlelo zokuphatha ubuhlakani bokwenziwa
Isitifiketi se-AI asikhawulelwe kubantu ngabanye: izinhlangano zingaphinde ziqinisekiswe ukuze zibonise ukuthi ziphatha ubuhlakani bokwenziwa ngendlela efanele. Kulesi simo, i-UNE-ISO/IEC 42001 , indinganiso yomhlaba wonke yezinhlelo zokuphatha i-AI, iyagqama.
Leli zinga lihlinzeka ngohlaka oluphelele lwezinhlangano lokuklama , ukuthuthukisa, ukusebenzisa, nokuphatha izinhlelo ze-AI ngokuphephile, ngokusobala, nangokuthembekile. Lihlanganisa izilawuli kanye neziqondiso zokuphatha izingozi namathuba ahlobene nokusetshenziswa kwe-AI, kusukela kukhwalithi yedatha kuya ekuqondisweni nasekuphepheni kwabantu.
Ngokuthola isitifiketi se-UNE-ISO/IEC 42001, inhlangano ingabonisa ukuzibophezela kwayo ekusetshenzisweni kwe-AI ngokuziphatha nangokuzibophezela . Lokhu kwakha ukwethembana namakhasimende, abalingani, abalawuli, kanye nomphakathi wonkana, ikakhulukazi esimweni lapho izindaba mayelana ne-AI zingavusa khona ukungabaza.
Isitifiketi sisiza ukunciphisa ingozi yokusetshenziswa kabi, siqinisekisa ukucaca ezinqubweni ezenzakalelayo, futhi sibhala ngokucacile ukuthi izinqumo ezisizwa yi-AI zenziwa kanjani . Ezinkampanini eziningi, kuba yinzuzo yokuncintisana kanye nesidingo esibalulekile sokubamba iqhaza kumaphrojekthi anengxenye eqinile yokulawula.
Ngaphezu kwalokho, ukuba naleli zinga elisebenzayo kukhuthaza isiko langaphakathi lomthwalo wemfanelo kanye nokuthuthuka okuqhubekayo kukho konke okuhlobene nama-algorithms, amamodeli, idatha, kanye nokuqapha kwabantu, into ebaluleke kakhulu emikhakheni ebalulekile njengezempilo, amabhange, kanye nokuphathwa komphakathi.
Ubude besikhathi, isakhiwo, kanye nokusekelwa ezinhlelweni zesitifiketi se-AI
Izinhlelo ezigxile ekuqinisekisweni zivame ukuhlelwa ukuze zilinganisele ithiyori kanye nokwenza, ngamaseshini abukhoma, okuqukethwe okuqoshiwe, izivivinyo, kanye nokusekelwa okuqhubekayo . Ubude bungahluka kakhulu, kodwa izinhlelo ezijulile ezihlala amasonto noma izinyanga ezimbalwa zivamile.
Ezinye izinhlelo ezithile zihlelwe ngezigaba eziyisishiyagalombili eziyinhloko zokuqeqeshwa okusebenzayo nokunesu , kanye neseshini eyengeziwe yebhonasi. Le fomethi iqala ngezisekelo zobuhlakani bokwenziwa futhi iqhubekela phambili kuzinhlelo zokusebenza ezithuthukisiwe kakhulu, ezigxile emiphumeleni.
Isici esivamile ukuthi ulwazi lwangaphambilini lwe-AI noma uhlelo aludingeki ngaso sonke isikhathi . Kunezinhlelo ezenzelwe amaphrofayili obuchwepheshe kanye nosomabhizinisi, abaphathi, noma ochwepheshe abavela kwezinye izinkambu abafuna ukufunda kusukela ekuqaleni ukuthi bayisebenzisa kanjani i-AI emsebenzini wabo wansuku zonke.
Ezimweni eziningi, amalayisense ezinkampani kanye nezinketho zamaqembu ezinkampani nazo ziyanikezwa . Lokhu kuvumela ukuqeqesha yonke iminyango, ukwenza ulwazi lube lujwayelekile, kanye nokusheshisa ukwamukelwa okuhlelekile kwamaphrojekthi e-AI angaphakathi.
Ukusekelwa kuvame ukuhlinzekwa ngamapulatifomu ezemfundo aku-inthanethi, lapho unokufinyelela khona kubafundisi, amaforamu emibuzo, amaseshini e-Q&A abukhoma, kanye nezibuyekezo zesikhathi sokuphila kwezincwadi . Lokhu kubuyekezwa okuqhubekayo kubalulekile, njengoba insimu ye-AI ithuthuka ngesivinini esikhulu.
Ezinye izinhlelo zifaka amabhonasi engeziwe njengokufinyelela kumakilabhu noma emiphakathini yangasese lapho ungaxazulula khona ukungabaza, inethiwekhi, ukufinyelela izaphulelo kwezinye izifundo noma uhlale usesikhathini ngezindaba zemboni, uma nje usuqedile inkokhelo eyodwa noma zonke izitolimende uma kuwuhlelo lokukhokha.
Izindleko, izinketho zokukhokha, kanye nezikhathi zokubona imiphumela
Izindleko zesitifiketi se-AI ziyahlukahluka kakhulu kuye ngokuthi uphi umhlinzeki, ukujula kwekharikhulamu, kanye nezinsizakalo ezifakiwe . Izivivinyo ezisemthethweni zisukela cishe ku-$100-$300, kuyilapho izinhlelo eziningi eziphelele zidlula u-$900, kanti ezinye izifundo zokuqeqesha zifaka phakathi ukwesekwa, amathuluzi okuzijwayeza, kanye nokufinyelela emiphakathini yangasese.
Ukuze kube lula ukubhalisa, abahlinzeki abaningi banikeza izinhlelo zokukhokha eziguquguqukayo . Izinketho ezifana nokukhokha okukodwa (isb., $500 USD) noma izinhlelo ezihlukaniswe ngezitolimende ezimbili noma ngaphezulu (isb., izinkokhelo ezimbili ze-$275 USD) zivamile. Amakhadi esikweletu nawedebithi, i-PayPal, kanye nokudluliselwa kwebhange kuvame ukwamukelwa, ngemuva kokuxhumana kwangaphambilini nethimba lokusekela.
Ngokuphathelene namabhonasi nokuqukethwe okwengeziwe, lokhu kuvame ukuvulwa ngemva kwesikhathi esithile ngemva kokuthenga . Uma wenza inkokhelo eyodwa, uvame ukusebenzisa amabhonasi akho zingakapheli izinsuku ezimbalwa; uma ukhetha ukukhokha ngezitolimende, kuvame ukuvulwa uma inani eliphelele selikhokhiwe.
Ngokuphathelene nokuthi imiphumela iqala nini ukubonakala, abantu abaningi babona izinguquko emasontweni ambalwa okuqala okusebenzisa lokho abakufundile : ukuzenzekela kwemisebenzi, ukukhiqiza okuthuthukisiwe, ukwenza izinqumo ezinolwazi oluthe xaxa, kanye nokuthuthukiswa kwamaphrojekthi amancane e-AI angaphakathi noma omuntu siqu.
Kodwa-ke, umthelela wokugcina uncike kakhulu ezingeni lakho lokuzibophezela nokuthi uzijwayeza kangakanani ngale kwekharikhulamu edingekayo encane . Isitifiketi sinikeza uhlaka, kodwa isinyathelo sangempela siya phambili uma usebenzisa lolo lwazi kumaphrojekthi angempela, uhlola amathuluzi amasha, futhi uhlale usesikhathini.
Amaphrofayili ochwepheshe kanye nezindlela zomsebenzi ngemuva kwesitifiketi se-AI
Uma usuthole isitifiketi se-AI, amathuba emisebenzi ahlukahlukene ayavuleka, kokubili ezobuchwepheshe kanye ne-hybrid . Akukhona nje ukusebenzela izinkampani ezinkulu zobuchwepheshe: cishe yonke imboni ifaka i-AI engxenyeni ethile yezinqubo zayo.
Phakathi kwamaphrofayili avame kakhulu kukhona unjiniyela we-Artificial Intelligence kanye ne-Big Data , ogxile ekwakheni amamodeli wedatha kanye namapayipi; umhleli wezinhlelo zochwepheshe, ogxile ezixazululweni ezisekelwe emithethweni kanye namamodeli; kanye nochwepheshe we-AI kanye ne-Big Data, onombono womhlaba wonke ohlanganisa kokubili ingqalasizinda kanye nokuhlaziya okuthuthukisiwe.
Enye indlela yomsebenzi efunwa kakhulu ngeyomhlaziyi wedatha onamakhono e-AI , okwaziyo ukudlulela ngale kwemibiko echazayo nokusebenzisa ama-algorithms okufunda komshini ukudala amamodeli okubikezela, ukuhlukaniswa, kanye nezinhlelo zokuncoma. Le ndima ibalulekile ekukhangiseni, ezezimali, ekuthengiseni, kwezokuthutha, nakwezinye izinkambu eziningi.
Uma unesitifiketi esifanele, ungasebenza ezinkampanini zomphakathi nezizimele cishe kunoma yimuphi umkhakha , kungaba seminyangweni yokuhlela, ingqalasizinda, ukwelulekwa kwezobuchwepheshe, ukusungula izinto ezintsha, noma ukuhlaziywa kwebhizinisi. Futhi kunikeza isisekelo esiqinile sokuqalisa amaphrojekthi akho noma ukusebenza njengomuntu ozimele okhethekile.
Izikhungo ezifana ne-European Technological Institute (ITE) noma izikole ezikhethekile zinikeza izinhlelo ezijulile nezisebenzayo eziku-inthanethi ezigxila ekuqeqeshweni kwazo ekutholeni lezi zitifiketi nasekuthuthukisweni kwangempela kokuqashwa, zithembele kumanethiwekhi ezinkampani ezisebenzisanayo kanye nezinqubo zokukhetha ezikhethekile zabafundi bazo.
Ngakolunye uhlangothi, izinhlangano ezifana ne-Google zikhuthaza izifundo zamahhala noma ezixhaswe ngemali kanye nezinhlelo zokuqeqesha ukuze noma ubani akwazi ukufunda i-AI kusukela ekuqaleni, kungakhathaliseki ukuthi ulwazi lwakhe lwangaphambilini lungakanani , ngaleyo ndlela efaka isandla ekuguqulweni kwedijithali kwamazwe afana neSpain futhi ekhuthaza ukudalwa kwemisebenzi emisha exhunywe kulobu buchwepheshe.
Izitifiketi zobuhlakani bokwenziwa, kungakhathaliseki ukuthi zigxile kubuchwepheshe obuthile (i-TensorFlow, i-AWS, i-Azure, i-Google Cloud, i-IBM Watson) noma eziyisisekelo, i-AI yokukhiqiza, noma ukuphathwa okunesibopho (i-UNE-ISO/IEC 42001), zinikeza indlela ehlelekile yokuthola amakhono asebenzayo, ukuthola ukwethembeka kobungcweti, kanye nokufinyelela amathuba emisebenzi angcono . Ukukhetha isitifiketi esifanele kakhulu kuzoncika endaweni yakho yokuqala, imigomo yakho yesikhathi esimaphakathi, kanye nohlelo lwezobuchwepheshe ofuna ukuthuthuka kulo, kodwa kuzo zonke izimo, kuwukutshalwa kwezimali okufanelekile ekuqeqeshweni okunenzuzo enkulu uma kuhlanganiswa nokusebenza okuqhubekayo kanye namaphrojekthi angempela.
