Tangira hano
Intangiriro · 4 module
Urufatiro rwa AI
Sobanukirwa na AI icyo aricyo, uburyo sisitemu yiga, aho yananiwe, nuburyo bwo guca imanza zidakabije.
~4h kurangizaReba inzira
Isomero rya AI kubuntu
Iga AI. Ubuntu ubuziraherezo.
1657 kuyobora-Icyongereza kiyobora, inzira zo kwiga zubatswe, hamwe nibitabo bifunguye - byubatswe na 501(c)(3) yigenga idaharanira inyungu kugirango umuntu wese yumve AI igezweho.
- 1657Kuyobora kubuntu
- 9Inzira nyamukuru
- ~3 minKuyobora
- ~74hIgihe cyo gusoma
Tangira hano
Bitanu amasomo ashingiye ku bisubizo
Buri somo ririmo ibisubizo bigaragara, ikarita yashushanyije, ibikorwa byimyitozo, hamwe na capstone ikoreshwa.
Intangiriro · 4 module
Ushinzwe gukoresha AI
Koresha AI kubyara umusaruro mugihe urinda ubuzima bwite, kugenzura ibisubizo, no kubungabunga ibyo abantu babazwa.
~5h kurangizaReba inziraHagati · 4 module
AI ku kazi
Suzuma aho ukorera ukoresha imanza, koresha abaderevu batekanye, bapime agaciro, kandi uvugane impinduka neza.
~6h kurangizaReba inziraHagati · 4 module
Politiki ya AI & Sosiyete
Gisesengura sisitemu ya AI ukoresheje uburenganzira, uburinganire, imiyoborere, umutekano, hamwe ninyungu rusange.
~6h kurangizaReba inziraHagati · 4 module
Kubaka hamwe na sisitemu ya AI
Sobanukirwa nururimi rwicyitegererezo, kugarura, abakozi, gusuzuma, ikiguzi, hamwe nuburyo bwo kurinda ibicuruzwa ukoresheje igishushanyo mbonera cya sisitemu.
~8h kurangizaReba inzira
Inzira nyamukuru
Shakisha ku murongo
Simbukira mu gace witaho. Inzira yose ifite ibyerekezo byinshi-byicyongereza.
- 91 KuyoboraIbyingenziIbyingenzi: uburyo AI ikora murwego rwo hejuru.Shakisha
- 177 KuyoboraUrurimi AILLMs, NLP, ChatGPT, kubaza, no gusobanukirwa inyandiko.Shakisha
- 170 KuyoboraAI igaragaraGukora amashusho, iyerekwa rya mudasobwa, videwo, nigishushanyo.Shakisha
- 124 KuyoboraAudio AIIjwi, umuziki, podcasting, hamwe n'amajwi-yambere AI.Shakisha
- 123 KuyoboraIbigoUmwirondoro wa OpenAI, Anthropic, Google, Meta, nibindi byinshi.Shakisha
- 346 KuyoboraPorogaramuUburyo AI igaragara muri code, gushakisha, abakozi, nubuzima bwa buri munsi.Shakisha
- 165 KuyoboraIngandaAI mubuvuzi, imari, uburezi, ingufu, nibindi byinshi.Shakisha
- 319 KuyoboraTekinikiChips, gutunganya neza, RAG, vectors, nibikorwa remezo bya AI.Shakisha
- 142 KuyoboraSosiyeteKubogama, ubuzima bwite, uburenganzira, umutekano, hamwe na AI ejo hazaza.Shakisha
Isomero ryuzuye
Abayobora bose
1657 Bya 1657 ubuyobozi bwerekanwe. Shungura kumurongo cyangwa gushakisha hejuru.
- TekinikiUmwenda wa tekiniki uhishe muri sisitemu ya MLML systems can accumulate technical debt beyond ordinary code complexity because models depend on changing data, features, pipelines and feedback loops.3 minSoma
- TekinikiGukuramo amajwi hamwe na LibrosaLibrosa ni isomero rya Python ryo gupakira amajwi n'ibimenyetso byerekana ibimenyetso nka spekrogramu, MFCCs, chroma, n'imbaraga zo gutangira.3 minSoma
- TekinikiGukurikirana ML hamwe na Prometheus na GrafanaPrometheus can collect numeric time-series metrics exposed by model services, while Grafana visualizes those metrics in dashboards and alerts.3 minSoma
- TekinikiML Gutanga Urunigi Umutekano no Gusinya IcyitegererezoML supply-chain security protects code, dependencies, datasets and model artifacts from tampering or untrusted sources throughout build and deployment.3 minSoma
- TekinikiMLOps Urwego rwo gukuraModeri yo gukura ya MLOps isobanura uburyo amakipe ahinduka kuva mubikorwa byintoki biganisha ku buryo bwikora busubirwamo bwo kugerageza, kubohereza no kongera imyitozo.3 minSoma
- TekinikiIcyitegererezo cyo Kwemeza Amarembo Mbere yo KoherezwaModel validation gates are explicit checks a candidate must pass before it can move into a higher-risk deployment stage.3 minSoma
- TekinikiGuhinduranya Umwanya no Kurambura IgihePitch shifting changes perceived fundamental frequency while aiming to preserve duration, whereas time stretching changes duration while aiming to preserve…3 minSoma
- TekinikiGuteganya Kwandika no Gufata IbyatanzwePrediction logging records enough context to audit, debug and later evaluate model decisions, including timestamps, model versions, inputs or privacy-safe…3 minSoma
- TekinikiPython Ubuyobozi bushingiye kuri MLPython dependency management records which interpreters and packages an ML project needs and how those versions are resolved for each environment.3 minSoma
- TekinikiTerraform for ML InfrastructureTerraform describes cloud infrastructure as code and creates or updates resources by comparing configuration with recorded state and provider APIs.3 minSoma
- TekinikiTriton Language for Custom GPU KernelsTriton is a Python-based language and compiler for writing GPU kernels in terms of blocks of elements rather than individual hardware threads.3 minSoma
- TekinikiIgice cyo Kwipimisha Imashini Yiga KodeUnit tests for ML code check small, deterministic parts of the pipeline such as preprocessing, tensor shapes, loss calculations and prediction interfaces.3 minSoma
Kurangiza gusoma? Garagaza.
Reba ibyo wize hamwe nibibazo, hanyuma ushakishe amasomo yacu yubatswe cyangwa ukore ugana icyemezo. Buri muyobozi akomeza kwidegembya gusoma.