{"id":2730,"date":"2025-01-20T09:48:06","date_gmt":"2025-01-20T09:48:06","guid":{"rendered":"https:\/\/pivot.uz\/nvidia-2025-yilda-karyerangizni-rivojlantirish-uchun-4-ta-bepul-onlayn-suniy-intellekt-kursini-taklif-etadi\/"},"modified":"2025-01-20T10:32:06","modified_gmt":"2025-01-20T10:32:06","slug":"nvidia-2025-yilda-karyerangizni-rivojlantirish-uchun-4-ta-bepul-onlayn-suniy-intellekt-kursini-taklif-etadi","status":"publish","type":"post","link":"https:\/\/pivot.uz\/uz\/nvidia-2025-yilda-karyerangizni-rivojlantirish-uchun-4-ta-bepul-onlayn-suniy-intellekt-kursini-taklif-etadi\/","title":{"rendered":"NVIDIA 2025-yilda karyerangizni rivojlantirish uchun 4 ta bepul onlayn sun\u2019iy intellekt kursini taklif etadi"},"content":{"rendered":"\n<h6 class=\"wp-block-heading\"><strong>Kirish<\/strong><\/h6>\n\n<p class=\"wp-block-paragraph\">NVIDIA, sun\u2019iy intellekt (AI) va grafik protsessorlar (GPU) texnologiyalari bo\u2018yicha global yetakchi kompaniya, 2025-yilda talab yuqori bo\u2018lgan AI, mashinaviy o\u2018qitish va ma\u2019lumotlar tahlili bo\u2018yicha muhim ko\u2018nikmalarni o\u2018rganish uchun to\u2018rtta bepul onlayn kursni taqdim etmoqda. Ushbu kurslar yangi boshlovchilar va tajribali mutaxassislar uchun mo\u2018ljallangan bo\u2018lib, karyerangizni keyingi bosqichga olib chiqish uchun noyob imkoniyatdir. <\/p>\n\n<h6 class=\"wp-block-heading\"><strong>Kurslarning asosiy afzalliklari<\/strong><\/h6>\n\n<ul class=\"wp-block-list\">\n<li><strong>Barcha kurslar bepul <\/strong>va onlayn formatda o\u2018tkaziladi.<\/li>\n\n\n\n<li>Kurslar NVIDIA kompaniyasining <strong>yetakchi mutaxassislari <\/strong>tomonidan ishlab chiqilgan.<\/li>\n\n\n\n<li>Neyron tarmoqlardan tortib katta til modellari (LLM)<strong> kabi mavzularni <\/strong>qamrab oladi.<\/li>\n\n\n\n<li>Ba\u2019zi kurslar <strong>dasturlash bilimiga ega bo\u2018lmaganlar<\/strong> uchun ham mos.<\/li>\n\n\n\n<li>Ushbu kurslarni tugatish orqali AI sohasida bilimlaringizni oshirishingiz va <strong>karyerangiz uchun yangi imkoniyatlar yaratishingiz mumkin<\/strong>.<\/li>\n<\/ul>\n\n<h6 class=\"wp-block-heading\"><strong>NVIDIA haqida qisqacha ma\u2019lumot<\/strong><\/h6>\n\n<p class=\"wp-block-paragraph\">1993-yilda Jensen Xuang, Kris Malaxovskiy va Kertis Priem tomonidan asos solingan NVIDIA AQShning Santa-Klara shahrida joylashgan. Kompaniya grafik protsessorlar (GPU), dastur interfeyslari (API) va tizim modullarini ishlab chiqishga ixtisoslashgan. U o\u2018yinlar, ma\u2019lumotlar tahlili, avtomobilsozlik va yuqori samarali hisoblash sohalarida yetakchi hisoblanadi. <\/p>\n\n<p class=\"wp-block-paragraph\">2023-yilda NVIDIA diskret grafik protsessorlar bozorida 80,2 foizlik ulushga ega bo\u2018lib, AI texnologiyalari bo\u2018yicha ham yetakchilik qilmoqda. Kompaniya GeForce GPU, NVIDIA Shield va GeForce Now kabi mashhur mahsulot va xizmatlarni ham taqdim etadi. <\/p>\n\n<h5 class=\"wp-block-heading\"><strong>Kurslar tafsilotlari<\/strong><\/h5>\n\n<h6 class=\"wp-block-heading\"><strong>10 daqiqada neyron tarmoq yaratish<\/strong><\/h6>\n\n<p class=\"wp-block-paragraph\"><br\/>Ushbu kurs neyron tarmoqlarning biologik va psixologik asoslarini tushuntiradi. Kurs davomida ma\u2019lumotlarni qayta ishlash va neyron tarmoqlarni o\u2018rgatishning asosiy tamoyillarini o\u2018rganasiz. <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>O\u2018rganish maqsadlari:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>O\u2018rganish maqsadlari: <br\/>Neyronlarning matematik asoslarini tushunish. <br\/>Sun\u2019iy intellekt modellarini qanday o\u2018qitish jarayonini bilib olish.<\/li>\n\n\n\n<li>Mavzular<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong>Mavzular:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>Ma\u2019lumotlarni tayyorlash.<\/li>\n\n\n\n<li>Neyronlarni yaratish.<\/li>\n\n\n\n<li>Modelni o\u2018qitish va baholash.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/learn.nvidia.com\/courses\/course-detail?course_id=course-v1:DLI+T-FX-01+V1\" target=\"_blank\" rel=\"noopener\">Ro&#8217;yxatdan o&#8217;tish<\/a><\/strong><\/p>\n\n<h6 class=\"wp-block-heading\"><strong>Generativ sun\u2019iy intellekt haqida tushuncha<\/strong><\/h6>\n\n<p class=\"wp-block-paragraph\">Generativ AI ma\u2019lumot ichidagi naqshlarni aniqlab, yangi kontent yaratish uchun ishlatiladigan texnologiyadir. Bu ko\u2018plab ijodiy va professional sohalarda muhim hisoblanadi.<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>O\u2018rganish maqsadlari:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>Generativ AIni aniqlash va tushunish.<\/li>\n\n\n\n<li>Uning real hayotdagi qo\u2018llanilishi va imkoniyatlari bilan tanishish.<\/li>\n\n\n\n<li>Generativ AIni qo\u2018llashda uchraydigan qiyinchiliklarni o\u2018rganish.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong>Mavzular:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>Generativ AI bilan bog\u2018liq qiyinchiliklarni aniqlash.<\/li>\n\n\n\n<li>Mavzular:<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/learn.nvidia.com\/courses\/course-detail?course_id=course-v1:DLI+S-FX-07+V1\" target=\"_blank\" rel=\"noopener\">Ro&#8217;yxatdan o&#8217;tish<\/a><\/strong><\/p>\n\n<h6 class=\"wp-block-heading\"><strong>&#8211; Generativ AI asosiy tamoyillari.<\/strong><\/h6>\n\n<p class=\"wp-block-paragraph\">Ushbu kurs NVIDIA RAPIDS texnologiyasi yordamida ma\u2019lumotlarni qayta ishlash tezligini oshirishga qaratilgan. Kurs kodni o\u2018zgartirishni talab qilmasdan, jarayonni soddalashtiradi. <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>O\u2018rganish maqsadlari:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>O\u2018rganish maqsadlari:<\/li>\n\n\n\n<li>GPU yordamida ma\u2019lumotlarni qayta ishlash tezligini oshirish.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong>Mavzular:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>CPU va GPU o\u2018rtasida uzluksiz integratsiyani ta\u2019minlash.<\/li>\n\n\n\n<li>Tezkor ma\u2019lumotlarni qayta ishlash texnikalari.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/learn.nvidia.com\/courses\/course-detail?course_id=course-v1:DLI+T-DS-03+V1\" target=\"_blank\" rel=\"noopener\">Ro&#8217;yxatdan o&#8217;tish<\/a><\/strong><\/p>\n\n<h4 class=\"wp-block-heading\"><strong>LLM yordamida RAG agentlarini yaratish <\/strong><\/h4>\n\n<p class=\"wp-block-paragraph\">Ushbu ilg\u2018or kurs katta til modellari (LLM) yordamida retrieval-augmented generation (RAG) agentlarini yaratishga bag\u2018ishlangan. Kurs agentlarning samaradorligini oshirish va murakkab muammolarni hal qilishda foydali bo\u2018lgan vositalarni birlashtirishga qaratilgan. <\/p>\n\n<p class=\"wp-block-paragraph\"><strong>O\u2018rganish maqsadlari:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>Katta til modellari evolyutsiyasi va ulardan foydalanishni tushunish.<\/li>\n\n\n\n<li>RAG tizimlarini samarali ishlatishni o\u2018rganish.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong>Mavzular:<\/strong><\/p>\n\n<ul class=\"wp-block-list\">\n<li>LLMni boshqarish tamoyillari.<\/li>\n\n\n\n<li>Retrieval asosidagi tizimlarni takomillashtirish.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/learn.nvidia.com\/courses\/course-detail?course_id=course-v1:DLI+S-FX-07+V1\" target=\"_blank\" rel=\"noopener\">Ro&#8217;yxatdan o&#8217;tish<\/a><\/strong><\/p>\n\n<h5 class=\"wp-block-heading\">Kurslarga yozilish tartibi<\/h5>\n\n<p class=\"wp-block-paragraph\">Ushbu kurslardan biriga yozilish uchun NVIDIA rasmiy veb-saytiga tashrif buyuring. Kurslar video ma\u2019ruzalar, interaktiv materiallar va yuklab olinadigan resurslarni o\u2018z ichiga oladi. <\/p>\n\n<h5 class=\"wp-block-heading\">Xulosa<\/h5>\n\n<p class=\"wp-block-paragraph\">NVIDIA tomonidan taqdim etilgan bepul AI kurslari har qanday darajadagi o\u2018quvchilar uchun noyob imkoniyatdir. Ushbu kurslar orqali zamonaviy sun\u2019iy intellekt ko\u2018nikmalarini egallashingiz va karyerangizni 2025-yilda yangi bosqichga olib chiqishingiz mumkin. Bugunoq yozilib, kelajagingiz sari birinchi qadamni tashlang!  <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kirish NVIDIA, sun\u2019iy intellekt (AI) va grafik protsessorlar (GPU) texnologiyalari bo\u2018yicha global yetakchi kompaniya, 2025-yilda talab yuqori bo\u2018lgan AI, mashinaviy o\u2018qitish va ma\u2019lumotlar tahlili bo\u2018yicha muhim ko\u2018nikmalarni o\u2018rganish uchun to\u2018rtta bepul onlayn kursni taqdim etmoqda. Ushbu kurslar yangi boshlovchilar va tajribali mutaxassislar uchun mo\u2018ljallangan bo\u2018lib, karyerangizni keyingi bosqichga olib chiqish uchun noyob imkoniyatdir. Kurslarning asosiy [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":2728,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_paywall_metabox":[],"jnews_override_counter":[],"jnews_podcast_option":[],"jnews_podcast_series":[],"footnotes":""},"categories":[124],"tags":[235,236,237],"jnews-series":[],"class_list":["post-2730","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-uz","tag-2025-yilda-karyerani-rivojlantirish","tag-bepul-ai-kurslari","tag-nvidia-oquv-imkoniyatlari"],"_links":{"self":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/2730","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/comments?post=2730"}],"version-history":[{"count":1,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/2730\/revisions"}],"predecessor-version":[{"id":2731,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/2730\/revisions\/2731"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media\/2728"}],"wp:attachment":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media?parent=2730"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/categories?post=2730"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/tags?post=2730"},{"taxonomy":"jnews-series","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/jnews-series?post=2730"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}