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AI в HR: Как использовать искусственный интеллект (Udemy) https://www.udemy.com/course/ai-hr-ru/ Хотите сократить рутину, повысить эффективность и идти в ногу с технологиями? Добро пожаловать в курс AI в HR, где вы узнаете, как искусственный интеллект меняет HR уже сегодня - от рекрутинга до Performance Review, от адаптации до компенсаций.Пока другие тратят часы на рутинные задачи, участники этого курса уже используют AI для генерации текстов, анализа интервью, создания обучающих программ и прогнозирования увольнений. AI не отнимает работу у HR - он делает HR более стратегическим.Этот курс не про теорию - вы получите конкретные инструменты, список из 100+ запросов к ChatGPT и подборку из 20+ работающих AI-сервисов. А также - поддержку и кейсы от Майка Притулы, первого HR в СНГ, кто начал обучать AI для HR.Программа курса:Раздел 1. Основы AI в HRВведение в AI HR и модели компетенцийHRIS-системы с AIКак AI экономит 30-50% времениРаздел 2. AI в рекрутинге и сорсингеAI в подборе и оценке кандидатовChatGPT для рекрутеровСорсинг, плагины и платформы с AIРаздел 3. AI в адаптации, обучении и эффективностиИнструменты адаптации с AIPerformance Management на базе AIКурсы, видео, субтитры - как обучать быстрее с AIРаздел 4. AI в брендировании и маркетинге HRТексты, логотипы, визуал и мониторинг брендаПримеры применения в HR-маркетингеРаздел 5. AI в Talent Management и компенсацияхКарьерное планирование и внутренняя мобильностьГрейдинг, бонусы, бенефиты с помощью AIРаздел 6. AI в культуре, коммуникациях и аналитикеАвтоматизация коммуникацийПрогнозирование увольненийAI-чатботы и предиктивная аналитикаРаздел 7. Создание HR-документов и процессов с AIСоздание шаблонов, обоснований и решенийAI в повседневной работе HRВажно:На Udemy вы проходите курс без проверки домашних заданий, возможности скачивания презентаций и без получения диплома Mike Pritula Academy.Запишитесь сейчас и будьте тем HR, который не боится технологий, а использует их в своих целях. Место в будущем HR - за вами. |
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AI в Performance Management: эффективность с ИИ (Udemy) https://www.udemy.com/course/ai-performance-management/ Управление эффективностью сотрудников больше не должно быть рутиной. Современные AI-инструменты позволяют автоматизировать целеполагание, отслеживать продуктивность в реальном времени, объективно оценивать результаты и разрабатывать персонализированные планы развития. Курс «AI в Performance Management» - это практическое руководство для руководителей и HR-специалистов, которые хотят вывести оценку и развитие сотрудников на новый уровень.Вы научитесь использовать искусственный интеллект для анализа данных, создания OKR, автоматической генерации обратной связи, прогнозирования рисков падения эффективности и построения карьерных треков. Курс основан на лучших международных практиках и даёт доступ к инструментам, которые уже работают в компаниях по всему миру.Программа курсаЗанятие 1: Постановка целей с использованием AIПостановка SMART-целей и OKR с помощью AIАвтоматизация целеполаганияИнструменты: Betterworks, Marissa AI, SloneekЗанятие 2: Мониторинг эффективности и анализ данных с AIОтслеживание производительности в реальном времениПредиктивная аналитика и предупреждение падения продуктивностиИнструменты: Mesh (Nudges), Intelogos, Skilla aiЗанятие 3: Оценка сотрудников и подготовка к Performance Review с AIАвтоматизация подготовки форм и оценочных анкетОбъективная оценка сотрудников на основе данныхИнструменты: Effy AI, 15Five, SloneekЗанятие 4: Проведение встреч и итогов ревью с AIOne-on-one с поддержкой AIГенерация инсайтов и обратной связиИнструменты: Lattice, Peoplebox, Marissa AIЗанятие 5: Планирование развития сотрудников с AIСоздание персонализированных планов развитияИспользование AI для построения карьерных маршрутовИнструменты: Marissa AI, 15Five, BetterworksЗанятие 6: Интеграция и автоматизация процессов Performance Management с AIВстраивание AI в HR-системуKPI и метрики влияния AIИнструменты: Intelogos, Skilla ai, PeopleboxВажно:На Udemy вы проходите курс без проверки домашних заданий, возможности скачивания презентаций и без получения диплома Mike Pritula Academy. |
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https://www.udemy.com/course/ai_in_action/ AI in Action: от чат-ботов до реальных ИИ-системДобро пожаловать в "AI in Action" - практический курс, который проведёт вас от базового понимания искусственного интеллекта до уверенного владения современными инструментами и технологиями на основе LLM (Large Language Models).Забудьте про фантастику и хайп: мы разберёмся, где AI действительно полезен, а где - переоценён. Вы узнаете, как работают современные языковые модели, чем отличается настоящая ИИ-система от просто "умного чат-бота", и научитесь использовать их с максимальной эффективностью.Что вас ждёт в курсе?Блок 1: Понимание основЧто на самом деле представляет собой искусственный интеллект?Почему AI не всегда "умный" и чем он отличается от человека?Как устроены диалоговые модели и роли в LLM.Блок 2: Практика с инструментамиOpenAI Playground - обучаемся взаимодействию с моделями напрямую.AnythingLLM - мощное универсальное приложение для работы с ИИ:установка, настройка, подключение APIработа с RAG (Retrieval-Augmented Generation)LM Studio - запуск и настройка локальных моделей прямо на вашем компьютере.Связка LM Studio + AnythingLLM для гибкой и автономной работы с ИИ.Блок 3: Автоматизация и интеграцииN8N - визуальная платформа для автоматизации:настройка, интерфейс, локальный запусксоздание автоматических процессов, включая скрапинг сайтовPinokio - инструмент-агрегатор для запуска ИИ-сценариев одним кликом:установка, запуск LLM и FaceFusionКому подойдёт этот курс?Тем, кто хочет понять, как устроен ИИ внутри, а не просто пользоваться готовыми решениямиРазработчикам, аналитикам, технарям и ИТ-менеджерам, кто хочет интегрировать AI в рабочие процессыНачинающим энтузиастам, интересующимся трендами в AI, ML и LLMЧто вы получите:Чёткое понимание, что может и не может AIНавыки работы с реальными инструментами OpenAI, AnythingLLM, LM Studio, N8N и PinokioУмение собирать свою AI-инфраструктуру из локальных и облачных компонентовПрактические сценарии для автоматизации, анализа данных и создания интеллектуальных систем |
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AI в обучении: автоматизация и развитие персонала (Udemy) https://www.udemy.com/course/ai-learning-online-course/ Освой искусственный интеллект в корпоративном обучении сотрудниковОбучение и развитие персонала (L & D) переживает трансформацию благодаря искусственному интеллекту. Этот курс покажет, как применять AI для автоматизации обучения, персонализации контента и точной оценки эффективности. Вы получите практические знания и инструменты, которые можно внедрить сразу после прохождения курса.Важно:На Udemy вы проходите курс без проверки домашних заданий, без возможности скачивать презентации и без получения диплома pritula academy.Чему вы научитесь на курсеПрименять искусственный интеллект для автоматизации обученияСоздавать персонализированные траектории развития сотрудниковГенерировать учебные материалы (видео, тесты, тексты) с помощью AIАнализировать навыки сотрудников и подбирать подходящие форматы обученияОценивать эффективность программ L & D с помощью AI-инструментовВнедрять современные AI-платформы в процессы корпоративного обученияПрограмма курсаВведение в AI и обучение сотрудниковЗанятие 1: Введение в AI и его применение в обученииОсновы искусственного интеллектаКак AI трансформирует подход к L & DОбзор AI-платформ: Cegid, Learn Amp, CeregoСоздание обучающих курсов с помощью AIЗанятие 2: Автоматизация разработки курсовИспользование AI для построения программПлатформы: Learning Studio AI, ProProfsКейсы из корпоративной практикиЗанятие 3: Генерация контента для курсовСоздание учебных материалов: видео, тексты, тестыАдаптация под стили обученияИнструменты: Cerego, ProProfsПерсонализация и развитие сотрудниковЗанятие 4: Индивидуальные планы развития с AIАнализ навыковСоздание персональных образовательных траекторийИнструменты: Learn Amp, SC TrainingОценка эффективности обученияЗанятие 5: Метрики и аналитикаОценка эффективности обученияИспользование AI для анализа и отчетностиПлатформы: SC Training, CegidБудущее AI в корпоративном обученииЗанятие 6: Тренды и инновацииОбзор новых решений: Paradiso LMS и другиеИнтеграция AI в L & D-стратегию компанииПочему стоит начать обучениеПрактический формат с инструментами и примерамиОбзор работающих решений, применяемых в ведущих компанияхВозможность внедрить полученные знания сразу после прохождения курса |
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AI в рекрутинге и сорсинге: автоматизация подбора (Udemy) https://www.udemy.com/course/ai-recruitment-ru/ Подбор персонала больше не будет прежним.Рекрутеры, использующие AI, закрывают вакансии быстрее, точнее и без выгорания.Этот курс даст вам всё, чтобы войти в число таких специалистов.«AI в рекрутинге и сорсинге» - это практический курс из 6 занятий, где вы освоите лучшие AI-инструменты, научитесь автоматизировать рутину, усилите свой бренд и станете в 3 раза продуктивнее.Вы не просто узнаете, что может AI - вы научитесь применять его каждый день в своей работе.Подходит для сорсеров, рекрутеров и HR, работающих на любых рынках.Программа курса:Секция 1. Введение в AI для рекрутингаЗанятие 1. Возможности и тренды AI в рекрутинге и сорсинге- Что уже работает и как это применять- Лучшие кейсы и ошибки внедренияСекция 2. Создание вакансий и визуаловЗанятие 2. AI для текстов и изображений- Оптимизация объявлений, привлекательность, генерация визуалаСекция 3. Автоматизация подбораЗанятие 3. AI в автоматическом подборе кандидатов- Подбор в один клик, интеграция с ATS, оценка релевантностиСекция 4. Сорсинг и коммуникацияЗанятие 4. Автоматизация поиска и переписок- Сорсинг, плагины, цепочки писем, персонализация с AIСекция 5. Оценка и интервьюЗанятие 5. Анализ кандидатов и интервью с AI- Транскрипции, анализ речи, объективная оценка без предвзятостиСекция 6. AI в HR-маркетингеЗанятие 6. Рекрутмент-маркетинг и бренд работодателя- Кампании, генерация контента, аналитика вовлечённостиКаждое занятие включает видеоурок, инструменты, практику и домашнее задание.Важно:На Udemy вы проходите курс без проверки домашних заданий, без возможности скачивать презентации и без получения диплома Mike Pritula Academy.Не откладывайте - пока вы думаете, другие уже автоматизируют. Запишитесь сейчас и войдите в число AI-рекрутеров будущего. |
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AI تعزيز الإنتاجية والبحث الأكاديمي باستخدام أدوات (Udemy) https://www.udemy.com/course/ai-roltn/ تُعد هذه الدورة مقدمة شاملة ومتكاملة لعالم الذكاء الاصطناعي وتطبيقاته العملية، حيث تهدف إلى مساعدة الطلاب والمحترفين على تعزيز إنتاجيتهم وتحسين جودة أبحاثهم الأكاديمية والمهنية باستخدام أدوات الذكاء الاصطناعي الحديثة.ما هو الذكاء الاصطناعي؟الذكاء الاصطناعي هو أحد فروع علوم الحاسوب الذي يركز على تطوير أنظمة قادرة على محاكاة القدرات البشرية مثل التفكير، التعلم، وحل المشكلات. يمتلك الذكاء الاصطناعي تاريخًا غنيًا وفلسفة فريدة جعلته أحد أهم المجالات التكنولوجية في العصر الحديث.الدورة تسلط الضوء على عدة مواضيع، منها:تحليل البيانات مع الذكاء الاصطناعيتعلم كيفية استخدام أدوات الذكاء الاصطناعي لتحليل البيانات بكفاءة وتحسين اتخاذ القرارات.أدوات الذكاء الاصطناعي في البحث العلمي والأكاديمياستعراض الأدوات المستخدمة في تسريع عمليات البحث الأكاديمي وتنظيم الأفكار وكتابة التقارير.GPT: نظرة عامة وتطبيقات عمليةالتعرف على أدوات GPT واستخداماتها في توليد النصوص، تلخيصها، وحل المشكلات اليومية.اختبار GPT للمستوى المتوسطتطبيق عملي لاختبار قدراتك في استخدام أدوات GPT وتطوير مهاراتك.نماذج توليد الصور والفيديوالتعرف على تقنيات الذكاء الاصطناعي التي تتيح إنشاء صور وفيديوهات من خلال الذكاء الاصطناعي وكيفية التعامل معها.نقطة التحول في تطور GPTمناقشة التطورات الحديثة في تقنيات GPT وكيف غيرت طريقة العمل والتفاعل مع البيانات.ما الذي ستقدمه الدورة؟فهم شامل للذكاء الاصطناعي وتاريخه وتطوره.تعلم استخدام أدوات الذكاء الاصطناعي لتحسين الإنتاجية اليومية والبحث العلمي.تطبيقات عملية لتحليل البيانات وإنجاز المهام الأكاديمية والمهنية بكفاءة.أمثلة واقعية لاستخدام أدوات مثل GPT ونماذج الذكاء الاصطناعي المتقدمة.الدورة مناسبة لجميع المستويات، سواء كنت مبتدئًا في مجال الذكاء الاصطناعي أو محترفًا ترغب في تحسين كفاءتك باستخدام أدوات الذكاء الاصطناعي الحديثة. انضم الآن لتكتسب المهارات اللازمة للتميز في هذا المجال المتطور! |
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AI की मदद से Fundamental Analysis (Udemy) https://www.udemy.com/course/ai-fundamental-analysis/ Step into the future of stock investing with Fundamental Analysis Using ChatGPT, a groundbreaking course led by Dr. Rajiv LB Roy. This course is designed to empower you with advanced skills in fundamental analysis with AI, merging traditional investing techniques with cutting-edge artificial intelligence. Whether you are an aspiring investor, a finance student, or an experienced professional, this course equips you to master stock fundamental analysis like never before.With AI transforming the financial landscape, this course highlights how tools like ChatGPT can streamline complex analyses, giving you a competitive edge. Learn how to leverage fundamental analysis by Dr. Rajiv LB Roy, a proven methodology enriched with AI insights, to evaluate stocks, understand financial health, and predict growth potential with precision. From interpreting balance sheets to identifying undervalued stocks, this course covers all the essentials in a practical, easy-to-follow format.For Hindi-speaking learners, we provide bilingual explanations, ensuring an inclusive and clear understanding of fundamental analysis in Hindi. This accessibility makes the course ideal for learners across diverse backgrounds who wish to enhance their investing skills.The course stands out by emphasizing actionable insights and real-world applications. You'll learn how ChatGPT enhances processes like data collection, industry comparisons, and generating detailed financial insights, saving you countless hours of manual work. This innovative approach allows you to focus on decision-making, maximizing your returns with minimal effort.What will you gain?A deep understanding of fundamental analysis with AI tools like ChatGPT, gemini, copilot etc.Skills to analyze financial statements and market dynamics efficiently.Practical techniques to find undervalued stocks and growth opportunities.The ability to integrate fundamental analysis by Dr. Rajiv LB Roy into your financial strategy.By the end of the course, you'll have mastered the art of blending traditional and AI-driven analysis, giving you a decisive advantage in the stock market. Whether you're just beginning your investment journey or aiming to refine your expertise, this course offers the tools and strategies to excel.Enroll in Fundamental Analysis Using ChatGPT today, and transform your approach to stock investing with Dr. Rajiv LB Roy's proven methodologies! |
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AI के साथ Option Trading (Udemy) https://www.udemy.com/course/ai-option-trading/ Step into the future of trading with the Option Trading Course by Dr. Rajiv LB Roy-your one-stop guide to mastering option trading using AI without any coding or complex software! In this practical, Hindi-language course, you'll discover how to use the latest AI tools-Perplexity, Google Gemini, Microsoft Copilot, Claude, and ChatGPT-to analyze the stock market, interpret data, and execute successful trades.Whether you're a beginner or an experienced trader, you'll learn to harness AI for option chain analysis by Rajiv LB Roy, decode FII/DII activity, and make smart option strategy adjustments in real market situations.What You'll LearnOption Chain Analysis with AIEffortlessly analyze option chains using Perplexity and ChatGPT-no programming required.Identify support, resistance, and market sentiment with option chain analysis with AI.AI-Enhanced Option StrategiesLearn practical option strategy adjustments for bullish, bearish, and sideways markets.Use AI to optimize your strategies and maximize profits. Trading Using AI & ChatGPTGenerate trade ideas, analyze news, and get instant market summaries using stock market using ChatGPT and other leading AI assistants.Automate your research and stay ahead in the market with daily AI-powered updates.Course FeaturesNo Coding Needed: 100% practical, tool-based learning-perfect for non-programmers.Hindi Language: All concepts explained in simple Hindi, with real Indian market examples.Step-by-Step Demonstrations: See exactly how Dr. Rajiv LB Roy uses each AI tool for live option chain analysis and FII/DII insights.Downloadable Resources: Get ready-to-use AI prompt templates for trading, option analysis, and strategy adjustments.Who Should Enroll?Traders and investors who want to use AI for smarter, faster analysis.Anyone seeking a practical option trading course by Dr. Rajiv LB Roy in Hindi.Those interested in option trading using AI tools-without learning Python or coding.Why Choose This Course?Most courses focus on theory or complicated programming. Here, you'll master the use of leading AI platforms-Perplexity, Gemini, Copilot, Claude, and ChatGPT-to automate your market research, perform option chain analysis by Rajiv LB Roy, and make confident trading decisions.Enroll now to transform your trading with the power of AI-no coding, just results! |
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AI वीडियो स्कूल: एकदम शुरुआत से लेकर प्रोफेशनल स्तर तक (Udemy) https://www.udemy.com/course/ai-video-school-hindi/ AI वीडियो क्रिएशन में महारत हासिल करने के लिए यह है आपका अंतिम और संपूर्ण कोर्स - आपका स्वागत है!चाहे आप बिलकुल शुरुआत से शुरू कर रहे हों या अपनी स्किल्स को और बेहतर बनाना चाहते हों, यह कोर्स आपको AI वीडियो की रोमांचक और तेजी से बदलती दुनिया में एक-एक कदम आगे ले जाएगा।जानें कि AI वीडियो कंटेंट क्रिएशन का भविष्य क्यों है, और इसे सीखना आपके सोच से कहीं आसान क्यों है।इन स्किल्स से आप नई करियर की शुरुआत कर सकते हैं, अपनी मौजूदा नौकरी में सुधार ला सकते हैं, या सिर्फ मज़े के लिए भी इसे एक्सप्लोर कर सकते हैं।यह कोर्स सभी के लिए बनाया गया है - कोई पूर्व अनुभव जरूरी नहीं। आप चाहें तो किसी भी सेक्शन से शुरू कर सकते हैं, या फिर पूरा कोर्स स्टेप-बाय-स्टेप फॉलो कर सकते हैं।AI वीडियो को सभी के लिए अधिक सुलभ बनाने के लिए, यह कोर्स मूल रूप से अंग्रेज़ी में बनाया गया था और AI टूल्स का उपयोग करके हिंदी में ट्रांसलेट किया गया है (हम आपको भी सिखाएंगे कि यह कैसे किया जाता है)।सभी संसाधन भी AI से ट्रांसलेट किए गए हैं। जो भी वेबसाइट हम कोर्स में दिखाते हैं, आप उन्हें अपने ब्राउज़र की ऑटो ट्रांसलेशन सेटिंग से हिंदी में देख सकते हैं (यदि वे खुद से अनुवाद नहीं होते)।वीडियो में दिखाई गई स्लाइड्स और AI टूल्स अंग्रेज़ी में हैं। हमने कोर्स की कीमत को कम किया है ताकि यह सभी के लिए सुलभ रहे, और किसी भी छोटे भाषा अंतर को भी ध्यान में रखा गया है।AI वीडियो सीखने वाले छात्रों को तीन मुख्य चुनौतियों का सामना करना पड़ता है - यह कोर्स उन सभी का समाधान है:Comprehensive Learning, All-in-One:18 घंटे का पूरा कोर्स जो आपको AI वीडियो के हर पहलू में स्टेप-बाय-स्टेप गाइड करता है - सब एक ही जगह।शुरुआत करने वालों के लिए एकदम परफेक्ट:अगर आपके पास कोई अनुभव नहीं है, तो भी कोई बात नहीं। बस लैपटॉप लेकर शुरू करें - रियल-टाइम डेमो, प्रोजेक्ट्स और क्लियर गाइडेंस के साथ।आप इस कोर्स में क्या सीखेंगे:AI वीडियो की मूल बातेंजानें कि AI वीडियो क्या है, यह कैसे इंडस्ट्री बदल रहा है और क्यों यह इतना महत्वपूर्ण है।AI वीडियो वर्कफ़्लोसोशल मीडिया, ऐड्स, शॉर्ट फिल्मों आदि के लिए ढांचेबद्ध और प्रोसेस-आधारित वर्कफ़्लो सीखें।AI वीडियो आइडिया जनरेशनChatGPT, Claude, Gemini, Copilot और Perplexity जैसे टूल्स से क्रिएटिव और इनोवेटिव वीडियो आइडिया बनाएं।AI स्क्रिप्ट लेखन और स्ट्रक्चरChatGPT, Scribbler, ChatSonic, TextCortex, Gemini जैसे टूल्स के साथ इंगेजिंग स्क्रिप्ट और वीडियो संरचना तैयार करें।मूड बोर्ड्स और स्टोरीबोर्ड्सMidJourney, Storyboarder ai और Photoshop के जरिए विज़ुअल प्लानिंग और वीडियो की स्थिरता सुनिश्चित करें।AI इमेज जनरेशनMidJourney, DALL·E, Stable Diffusion, Dream Studio, Adobe Firefly, Meta AI के साथ रीयलिस्टिक इमेज बनाना सीखें - AI वीडियो की नींव यही है।AI वीडियो बनानाRunway ML, Sora, Luma Labs, Pika, Haiper, Kling, Kaiber, Flux जैसे टूल्स से एडवांस वीडियो क्रिएशन करें - फेस स्वैप, लिप-सिंक आदि एक्सप्लोर करें।AI ऑडियो क्रिएशनम्यूज़िक, साउंड इफेक्ट्स और वॉयसओवर जनरेट करें। Text-to-speech, वॉयस चेंजर और ऑडियो एडिटिंग से प्रोफेशनल-ग्रेड साउंड तैयार करें।कोर्स प्रोजेक्ट के साथ आगे बढ़ेंमैं आपको एक प्रोफेशनल 3 मिनट की वीडियो बनाने के हर स्टेप में गाइड करूंगा - टूल्स का उपयोग करके एक पॉलिश्ड प्रोजेक्ट तैयार करेंगे।यह कोर्स क्यों चुनें?एक ग्रो कर रहे फील्ड में सबसे आगे रहें:AI वीडियो भविष्य है - और यह कोर्स आपको सबसे आगे रखेगा।हैंड्स-ऑन लर्निंग:सीखें प्रैक्टिकल तरीकों से - प्रोजेक्ट्स, उदाहरण और एक्सरसाइज़ के साथ।आज ही अपनी AI वीडियो जर्नी शुरू करें - और अनगिनत संभावनाओं के दरवाज़े खोलें!इस कोर्स से आपको क्या मिलेगा:Runway ML, MidJourney, ElevenLabs जैसे टूल्स में मास्टरी।AI तकनीकों के साथ प्रोफेशनल कंटेंट क्रिएशन स्किल्स।सोशल मीडिया, ऐड्स, फिल्मों आदि के लिए AI वीडियो बनाने के वर्कफ़्लो।रियल-प्रोजेक्ट्स और स्टेप-बाय-स्टेप गाइडेंस का एक्सपीरियंस।AI तकनीकों से समय और पैसे की बचत।आइडिया, स्क्रिप्ट, स्टोरीबोर्ड और विज़ुअल बनाने में AI का प्रभावी उपयोग।AI कंटेंट बनाते समय एथिकल और लीगल बेस्ट प्रैक्टिस सीखें।एक्सक्लूसिव टूल्स, संसाधनों तक पहुंच।AI फील्ड में करियर शुरू करने या बढ़ाने के लिए लचीले और डिमांड में स्किल्स।एक पॉलिश्ड, पोर्टफोलियो के लायक AI वीडियो प्रोजेक्ट तैयार करें। |
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AI സാക്ഷരത: Beginner's Guide to AI By Entri (Udemy) https://www.udemy.com/course/ai-saksharta/ Are you curious about Artificial Intelligence but unsure where to start?Welcome to your friendly beginner's guide to the world of AI - completely in Malayalam! This course is specially designed for those who want to explore AI without getting lost in complicated terms or English jargon. Whether you're a student, teacher, content creator, jobseeker, or just curious, this course will open the doors to AI tools you can start using today.What's inside:A simple and engaging introduction to Artificial Intelligence (AI)History of AI explained clearly - ഇനി എവിടുനിന്നാണ് AI തുടങ്ങിയത് എന്ന് മനസ്സിലാക്കാംLearn to use ChatGPT for smart tasks like summarizing news, answering questions, and moreGenerating text, ideas, images - content creation made easyPrompt Engineering - oru chodyathil ninnum valya uttharangal edukkan!Improve your job applications and resumes using AI supportUnderstand important terms like "Perplexity", "Generative AI", and moreReal-life use cases - including web dev with AI + Next.js and ReactSimple insights into how AI is shaping our lives - present and futureWhy this course?Taught completely in MalayalamNo tech background neededDesigned for total beginnersLearn-by-doing format - practical examples and friendly explanationsHelps you understand how to use AI in everyday life and careerBy the end of the course, you will be able to:Understand what AI is and how it worksUse tools like ChatGPT and image generators confidentlyWrite better prompts to get the best out of AIApply AI in your personal, educational, or professional life |
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AI でベクター画像を生成！！ 生成したバスをIllustratorで編集して画像を描く (Udemy) https://www.udemy.com/course/ai-adobe-fireflyillustrator3d/ このコースは現在最も注目を集める画像生成AI Adobe Fireflyを使ってベクタータイプのデザイン画像を生成し、Illustratorを使ってパスを編集して3Dのイラストを制作するコースです。画像生成AIの中でも完全なベクター画像を生成できるのは現在Fireflyのみです。その生成画像をIllustratorで通常のベクターデザインと同じようにパスを動かし、シェイプを編集してカラーを変えて、3D効果を使ってイラストを完成させます。１時間の短いコースで確実に学べるので、最後まで一気に学習できます。コースは次の内容で構成されています。セクション1 Fireflyでベクター画像を生成し、Illustratorで3D画像を制作するレクチャー1. はじめにレクチャー2. 学習の進め方レクチャー3. Fireflyで小リスのイラストを生成するレクチャー4. イラストをパーツごとに分割するレクチャー5. レイヤーごとのシェイプを整えるレクチャー6. シェイプの分割レクチャー7. シェイプをシンプルにするレクチャー8. 3Dにする AIは私たちの働き方やそれ以上のものを急激に変化させる技術と言われていますが、このコースを履修することで逆に人間にしかできないことを見つけていただき、これからのあなたの活躍に役立つことができれば幸いです。 |
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AI マンガで4コマを自動で作成出来るサブスク Anifusionの使い方を解説！SNS投稿をするまで実演！ (Udemy) https://www.udemy.com/course/4ai-anifusion/ ●ごあいさつこんにちは、にっちです。画像生成AIのプロで、kindle出版からはじまり、FANZAとDLSITE出版、その後は画像の仕事を請け負ったり、創作するAIクリエイターとして３００万円以上獲得。クリエイター事業を軸に、合成音声AIや動画生成AIなどにも精通しています。基本的には、出版や動画、noteや小説などの引きこもりでの仕事全般が得意です。・元アマチュアゲームクリエイター・企画、ゲームプログラミング、Photoshop、Illustratorなど担当・合成音声AIで他人や自分の声を作成・現役のAI小説家・現役のAI漫画家・うつ病や不眠症を自己治療した元引きこもり・2023年5月、１０年間やっていた物販業からAI事業に転入！・海外のIQ団体会員・AIによる電子書籍を多数出版（amazonにて）・FANZA,Dlsiteなど同人活動・AIマンガ投稿アカウント複数このコースでは、Anifusionを使ってAI ４コマ漫画を投稿する方法を解説します。●AIマンガの可能性AIマンガにはスキル０でも生成AIを導入するだけのポテンシャルがあります。・フォロワーが思うように伸びない・自社PRに遅れ、会社の売上が停滞している・自分は現在、時代に置いていかれていると思うこのように感じている人は、AIマンガを導入することで、この悩みを解決できる可能性がとても高いでしょう！そして、AI時代に自分は活躍できていない という欠乏感を即効で終わらせることができる、生成AI導入のためにもっとも手っ取り早いのがAIマンガツールである、それは間違いありません！画像生成AIで作成した画像をSNSに投稿するだけでフォロワーがどんどん増えた時代は2022年末からの１年半でほぼ終わりましたが、2024年初夏から始まった波がAIマンガなのです。●このコースは全部で５セクションですセクション1：はじめにセクション2：Anifusionの基本操作解説セクション3：Anifusionで４コマ漫画を作る実践解説！セクション4：Anifusionでコマ割りマンガを作るのに役立つ機能セクション5：SNSに漫画を投稿する方法の実践解説！セクション6：ボーナスレクチャーAI時代の光速学習を意識し、他の講座の平均より当社比 1.3倍～2.5倍に無駄なく、学習時間を圧縮しております。たとえば、一発取りで間延びした平均的な２時間の講座と違い、１時間で終わる感覚です。ノイズはほとんどない、音質も高い講座です。その他、必要に応じて追加レクチャーや追加ワークが用意されます。きっと、AIで作成した４コマ漫画を会社PRやフォロワーを増やすためのSNS投稿などに活用できることでしょう！※AI初心者向けに４コマ漫画を自動作成するための簡易講座ですので、Anifusion全般の難しい機能を使い倒す説明はそれほど含まれません。ご注意ください。 |
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https://www.udemy.com/course/ai051234/ 学习Python人工智能相关的知识，重点讲解机器学习领域的监督学习、无监督学习，让大家掌握人工智能核心编程思想，具备解决基础AI问题的能力 。课程主要围绕以下五大模块展开讲解：关键核心工具学习与使用：python、anaconda、jupyter、numpy、matplotlib、sklearn、pandas监督学习算法-回归：实现对连续数值的预测监督学习算法-分类：实现对非连续类别的预测无监督学习算法-聚类：寻找数据的内在关系常见的三大落地场景：图像识别、自然语言处理、智能推荐最后我们还会了解进行进阶学习的正确路径，让大家少走弯路，实现高效入门人工智能。相比于市面上的其他课程，该课程更关注人工智能核心知识点的梳理与实操项目的实现，不要求学员有很好的数学或者编程基础。过程中，老师会结合现实生活的案例，帮助大家加强对复杂模型的理解。在实操环节，老师会手把手带着大家写代码，让你学起来更轻松。讲师赵辛为福布斯中国U30科技上榜者，深圳孔雀人才，全奖海归博士，担任人工智能公司算法总监，慕课平台精英讲师，具备丰富的线上、线下教学经验。 |
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https://www.udemy.com/course/ai-nzpkv/ 本课程精心设计了两个核心模块，旨在帮助学员全面、深入地掌握ChatGPT的应用技巧。在第一模块中，我们将从多个维度出发，教授学员如何精准输出提示词，确保每次输入都能得到高质量的文本回应。通过多种方式的教学和练习，学员将能够熟练掌握这一关键技能，为后续的实战应用打下坚实基础。第二模块则聚焦于日常高频使用场景，通过丰富的案例和实战项目，如小红书文案创作、朋友圈营销策略等，让学员在实践中全面掌握ChatGPT的应用技巧。通过这一模块的学习，学员将能够轻松应对各种文本处理需求，为工作和学习提供有力支持。 |
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AI 助力工作效率提升一招鮮（ChatGPT、Whisper、Azure 語音、語音分離、豆包、Claude） (Udemy) https://www.udemy.com/course/aigc2024/ 课程内容包括但不限于以下几个方面：1. 人工智能发展过程： 当前环境下人工智能发展的过去、现在与未来2. ChatGPT协助功能：理解和了解ChatGPT的全方位知识，让AI真正助力人员成长3. AI交互方式：了解AI交互过程中的的方式，自然语言处理4. 增强AI交互方式：如何优化我们的自然语言，利用交互过程得到更好的结果学习收获深入了解AI技术：通过课程学习，您将对人工智能技术有更深入的理解，包括机器学习算法、数据处理方法以及AI工具的应用等方面。提升工作效率：学习如何利用AI技术简化日常工作流程、自动化任务执行，帮助您节省时间和精力，提高工作效率。改善决策能力：掌握利用AI技术进行数据分析和智能决策支持的方法，帮助您做出更明智的决策，提升工作质量。优化团队协作：了解如何利用AI技术优化团队协作、提高沟通效率，帮助团队更好地合作完成任务。应用于实际工作：通过学习课程中的案例和实践操作，将AI技术应用到实际工作中，提升个人和团队的业务能力和竞争力。开拓思维：课程将带您了解AI在不同行业中的应用案例，拓宽您的思维，探索AI技术的无限可能性。通过这些学习收获，您将成为一个更加高效、智能化的办公人员，能够更好地适应和应对工作中的挑战，为个人和组织带来更多的机遇和成就。 |
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AI 商业设计实战：搞定高单价的主题系列作品 (Udemy) https://www.udemy.com/course/ai-stvvg/ 本课程将深入剖析Stable Diffusion的精髓，从基本原理到模型架构，再到训练方法，为学员呈现一个完整的学习路径。通过大量的实际案例和项目练习，学员将能够亲自动手，用简单的文本描述或少量参考图像，生成令人惊叹的三维场景和精细细节。这不仅仅是一次技术的学习，更是一次创意的释放。学员将掌握图像生成、风格转换、图像修复和超分辨率等商业创作任务的核心技能，为未来的职业发展奠定坚实基础。此外，课程还将分享众多成功的商业案例和创意应用，让学员领略Stable Diffusion在品牌广告设计、插画创作、时尚产业、电影特效、电商数字应用等领域的广阔前景。 |
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https://www.udemy.com/course/ai_tools/ 课程简介：在这个快速发展的AI时代，不论是日常生活还是职业发展，掌握最新的AI技术已经成为一项必不可少的技能。《AI 大作战：日常生活与职场的智能革命》是一门专为初学者设计的课程，旨在帮助您迅速掌握主流AI工具，无缝融入AI的浪潮中。本课程将以生动有趣的方式，通过实际案例和易懂的讲解，带您一步步深入AI的精彩世界。课程亮点：快速入门：深入浅出的讲解AI基础知识，确保零基础学员也能轻松跟上。实际案例分析：结合日常生活与职场实例，让AI应用场景更加贴近生活。幽默生动的教学风格：以幽默诙谐的方式解读复杂概念，让学习过程充满乐趣。一次付费，永久更新：随着AI技术的不断更新，课程内容也将持续迭代，确保您始终处于技术前沿。实操导向：提供丰富的实操演练，助您快速将理论应用于实践。课程内容预览：AI基础知识：解析AI的基本概念、历史发展和未来趋势。主流AI工具介绍：详细介绍市场上流行的AI工具及其应用。AI在日常生活中的应用：探索AI在家庭、生活管理等方面的实际运用。AI在职场中的应用：深入分析AI如何提升工作效率和创新能力。 |
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AI 大模型 Plus 插件与提示词工程企培应用：掌握 GPTs、代码解释器、Plus 插件及提示词应用，推动企业落地 (Udemy) https://www.udemy.com/course/ai-plus-gptsplus/ 在《AI 大模型 Plus 插件与提示词工程企培应用》课程中，您将深入学习如何充分发挥 ChatGPT 及其 Plus 插件的强大能力，助力企业提升生产力与创新力。本课程特别适合希望通过人工智能提高工作效率、优化业务流程和开拓创新思维的职场人士和团队。本课程包含 8 大章节，覆盖 120 个细分内容模块，深入探讨 GPTs 的核心功能与应用场景，Plus 充值方法，代码解释器的使用，企业级应用讲座，Plus 插件配置与优化，以及提示词工程的系统化学习。我们不仅从技术层面讲解 ChatGPT 的原理，还提供了丰富的实操案例，帮助学员快速将所学知识应用到工作实践中。课程亮点包括：GPTs 深度剖析：了解并掌握大语言模型的工作机制，学习如何通过提示词与其互动，最大化发挥 AI 的潜力。企业应用实战：通过实际案例，展示 ChatGPT 和 Plus 插件如何融入企业，提升决策、数据分析和日常运营的效率。代码解释器与开发集成：不仅限于提示词，我们还探索如何通过 ChatGPT 完成基础编程任务，快速调试代码，为技术开发者赋能。跨领域学习与创新思维培养：AI 技术降低了进入新领域的门槛，您将学会如何利用 AI 在多个行业应用场景中发掘新的业务机会。适用人群：需要提高日常工作效率的职场人士负责企业创新、数据分析及自动化的 IT 和管理人员对提示词工程及 ChatGPT 技术感兴趣的初学者与进阶学员希望提升职业竞争力，并在工作中通过 AI 创造更大价值的专业人士您将学到什么？掌握 ChatGPT 的使用技巧与提示词逻辑，提升与 AI 沟通的效率通过 AI 实现快速完成日常工作任务，显著提高工作效率学习代码解释器的实际应用，轻松完成基础编程和调试工作全面提升职业竞争力，掌握创新思维的培养与 AI 技术的跨领域应用 |
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https://www.udemy.com/course/ai-videomarketing/ 越來越多的 AI 工具不斷涌現，但重點還是在於實用性。我將自己的影音行銷專業，整合 AI 工具，設計了這門課程。完成學習後，能幫你省下龐大成本，並在短時間內，獲得高品質作品，只要有智慧型手機和電腦，就能夠隨時隨地高效產出作品！這門課程將從基礎概念開始，介紹各種影音行銷工具的應用，並深入探討如何將人工智慧技術融入到你的工作流程中。無論你是新手還是有一定經驗的從業者，都能夠從中受益匪淺。無論是製作宣傳影片、社群媒體廣告還是公司形象片，你都能夠得心應手。 |
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https://www.udemy.com/course/wilson-machine-learning/ 你對資料科學、人工智能、機器學習有興趣嗎？未來的世界很可能將由 AI 技術驅動，無論是資訊、醫療、金融、零售還是日常生活，人工智慧都將扮演關鍵角色。如果你對資料科學、人工智能和機器學習等領域有興趣，卻不知道從哪裡開始，本課程將是你進入 AI 領域的最佳起點！學習機器學習不僅需要動手寫程式，更需要紮實的數學基礎。因此，本課程特別強調「理論與實作並重」：你不僅會學到每個演算法背後的數學原理，還會學會如何用 Python 及主流資料科學套件將這些理論落實到實際應用中。無論你是理論數學派還是實戰應用派，都能在這門課找到屬於自己的學習重點！這堂課程的內容會循序漸進，涵蓋以下主題：1. 從零開始，熟悉和學習以下常見的資料科學套件，並且從統計分析、資料可視化到探索式資料分析（Exploratory Data Analysis），全面理解資料背後的故事。運用統計方法發掘資料中的關鍵特徵，並透過各種視覺化工具將複雜的數據轉化為直觀易懂的圖像，快速掌握資料的分布、趨勢與潛在關係。NumPyPandasMatplotlibSeabornPlotly2. 監督式學習：詳細介紹回歸與分類模型，理解以下模型的數學推導、損失函數設計方法、模型訓練與優化流程、模型差異比較、評估指標，並學會如何透過超參數調整來選擇最佳模型：線性迴歸（Linear Regression）多項式迴歸（Polynomial Regression）邏輯迴歸（Logistic Regression）K-近鄰演算法（K Nearest Neighbors）Naive Bayes Classifier支援向量機（Support Vector Machine）決策樹（Decision Tree）隨機森林（Random Forest）自適應增強（AdaBoost）梯度提升技術（Gradient Boosting）XGBoost3. 無監督學習：了解以下每種無監督學習的模型運作原理、數學推導、適用場景與限制，並透過實際案例操作，讓你掌握如何在不同資料型態下選擇合適的演算法。KMeans ClusteringHierarchical Agglomerative ClusteringDBSCAN主成份分析（Principal Component Analysis）4. 了解機器學習中的其他重要概念，包含：梯度下降演算法（Gradient Descent Algorithm）反向傳播演算法（Back Propagation Algorithm）Overfitting 與 UnderfittingBias-Variance Tradeoff模型訓練的問題處理方法L1, L2 正則化規則與特性分析交叉驗證（Cross Validation）與超參數調整（Hyperparameter Tuning）特徵選擇（Feature Selection）與特徵縮放（Feature Scaling）ROC-AUC 原理交叉熵（Cross Entropy）完整公式推導Accuracy, Recall, Recision and F1 Score 等模型分數差異比較為了學以致用、強化實戰能力，此課程中特別設計了 7 個 Labs 實作練習。每個 Lab 都以真實世界的資料集為主題，讓你有機會將課堂所學應用到實際問題中，從資料清理、特徵工程到模型訓練與評估，全面提升你的資料思維與解決問題的能力。這些 Labs 不僅是課程範例的一部分，更是額外的 bonus 練習，讓實作過程中累積實戰經驗。無論你是剛踏入 AI 領域的新手，還是希望補強基礎的進階學習者，此課程都能帶給你紮實的知識與技能。現在就加入此課程，和來自各地的同學一起學習、交流，開啟屬於你的 AI 人工智慧、機器學習之旅吧！ |
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https://www.udemy.com/course/ai-wnhvq/ 本课程旨在以简明扼要的方式，全面解读AIGC大模型的内在逻辑与实际应用。课程从基础概念入手，逐步深入剖析大模型的核心结构与算法原理，使学员能够清晰理解其工作原理。同时，课程将重点介绍图像识别和语言识别两大领域的模型原理，帮助学员掌握这些技术在实际问题中的应用方法。此外，课程还将关注数据预测和应用分析等前沿领域，引导学员运用AIGC大模型解决复杂问题。最重要的是，课程将分享AIGC领域的最新研究成果，让学员站在行业前沿，把握技术发展趋势。 |
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https://www.udemy.com/course/ai-erpor/ 本课程不仅深入解析MidJourney绘画创作的核心理念，更通过实战应用的方式，引导用户逐步掌握其绘画技巧与方法。课程涵盖了从创意构思到细节刻画的全方位指导，帮助用户全面提升绘画能力。在大量的案例分析与实战练习中，用户将学会如何巧妙运用MidJourney的功能，将脑海中的想象和创意转化为一幅幅精美的画作。通过本课程的学习，用户不仅能够掌握绘画技能，更能够激发自己的创造力和想象力，将艺术与生活完美结合，创作出属于自己的独特作品。 |
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https://www.udemy.com/course/cursorai/ 给编程小白的编程课：觉得编程很难？只有计算机专业的人才能懂？我有一个振奋人心的消息要告诉你：自然语言编程的时代已经到来！没错，现在你只需要提出需求，AI 就能为你编写代码。这将让你的工作效率瞬间提升 10 倍，甚至能直接成为开发者，开启副业收入的新篇章！课程特色：• 零基础友好：无需任何编程背景，轻松上手AI编程。• 实战案例：涵盖邮件群发、文件整理、办公自动化等实用场景。• 前沿工具：深入体验Cursor等最新AI编程工具，紧跟技术潮流。• 全方位提升：从基础理论到实际应用，全面提升您的编程能力和效率。 |
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AI 賦能 T-SQL:全新高效開發和學習節奏 (Udemy) https://www.udemy.com/course/ai-t-sql/ 本課程旨在重新定義 Transact-SQL (T-SQL) 的學習與實踐方式。傳統的資料庫開發流程，往往涉及大量的手動編碼、在 Stack Overflow 等平台搜尋解決方案，以及反覆查閱官方文件。然而，隨著人工智慧技術的崛起，一個全新的開發節奏-AI 協作程式設計師 (AI Pair Programmer) 應運而生 。本課程的核心理念，便是引導學習者掌握如何與這位 AI 夥伴進行高效協作。AI 協作程式設計師並非一個取代開發者的「黑盒子」，而是一個基於海量程式碼庫訓練、能夠理解上下文並提供智慧建議的輔助工具 。它將開發者的角色從一個孤立的程式碼編寫者，轉變為一個 AI 產出內容的指導者、審核者與優化者。開發流程也隨之演變為一種對話式、迭代式的過程，大幅提升了效率與創造力，未來，你的母語就是程式語言 。本課程並非要取代 T-SQL 的基礎知識，而是透過 AI 增強工具的視角來教授 T-SQL。學習的目標不再是單純死記語法，而是利用 AI 加速知識的獲取與應用，從而培養更高層次的能力，例如：批判性審核、提示工程 (Prompt Engineering) 以及策略性問題解決。過去，資深開發者的熟練度常取決於他們對複雜語法和函數名稱的記憶能力。如今，GitHub Copilot 有效地外包了這項記憶任務 。開發者可以透過一句自然語言，來描述一個複雜的操作，並獲得語法正確的實作程式碼 。這將開發者的認知資源解放出來，使其能專注於更高級別的任務，如生成的T-SQL是否正確？效能是否足夠高？是否精準地反映了商業需求？是否存在安全隱患？因此，清晰地闡述預期結果（提示工程）以及批判性地評估 AI 產出（程式碼審核）的能力，成為了當代開發者最寶貴的技能。我將在這堂課，告訴你如何與這位 AI 夥伴進行高效協作。 |
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AI 개발자로 성장하기: 취업과 이직을 위한 실전 완벽 가이드 (Udemy) https://www.udemy.com/course/be-ai-engineer/ AI 개발자라는 직무는 빠르게 성장 중이지만, 실제로 무엇을 준비하고 어떤 방향으로 역량을 키워야 하는지 막막한 분들이 많습니다. 이 강의는 그런 분들을 위한 실전형 성장 전략 가이드입니다.강의는 크게 세 가지 흐름으로 구성되어 있습니다.첫째, AI 개발자라는 직무에 대한 정확한 이해입니다.데이터 사이언티스트, ML 엔지니어, 리서처와 어떤 차이가 있는지, 채용 시장에서는 어떤 스킬셋을 요구하는지 분석합니다.둘째, 기업이 실제로 원하는 인재상을 파악합니다.단순히 GPT를 써봤다고 말하는 포트폴리오가 아니라, 문제를 정의하고 해결 방법을 설계할 수 있는 실전형 AI 엔지니어로 포지셔닝하는 전략을 소개합니다.셋째, 실무 기술과 포트폴리오 작성 전략을 제시합니다.PyTorch, FastAPI, Huggingface 등을 활용해 실제 제품처럼 문제를 해결하는 경험을 쌓고, 그것을 어떻게 정리해 채용 시장에 어필할 수 있는지 배웁니다.이 강의는 기초를 익힌 분이 실전 준비를 하고자 할 때 최적화된 강의입니다.이론보다는 실전 위주로, 실습보다는 전략과 방향성 위주로 구성되어 있습니다.AI를 배우는 단계를 넘어, AI로 문제를 해결할 줄 아는 사람이 되고 싶은 분들을 위한 강의입니다. |
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AI 도구로 더 나은 프레젠테이션: 시간을 절약하고 더 많은 것을 달성하라(ChatGPT, Gamma) (Udemy) https://www.udemy.com/course/ai-chatgpt-gamma/ 이 강의는 프레젠테이션의 핵심 요소를 이해하고 AI 도구를 활용하여 더 나은 프레젠테이션 스킬을 개발하고자 하는 모든 분들을 위한 것입니다. 강의를 통해 여러분은 화려한 디자인보다 메시지를 명확하게 전달하는 데 초점을 맞출 수 있습니다. ChatGPT와 Gamma와 같은 AI 도구를 활용하여 아이디어 전달, 스크립트 작성 및 디자인 자동화를 습득하며, 프레젠테이션을 준비하는 데 필요한 시간을 크게 절약할 수 있습니다. 중소기업에서 AI 프로젝트를 성공적으로 완료하는 방법에 대한 프레젠테이션을 실제로 개발하면서 실전 경험을 쌓을 수 있습니다. 이 강의를 통해 더 효율적이고 효과적인 프레젠테이션 스피커로 성장하고, 다른 주요 기술 및 업무에 집중할 수 있는 능력을 향상시킬 수 있습니다.#AI, #ArtificialIntelligence, #ChatGPT, #Gamma, #PresentationAutomation, #AIForPresentations, #Technology, #AI_Tools, #인공지능, #ChatGPT, #Gamma, #프레젠테이션자동화, #AI도구, #기술, #AI도구, #ChatGPT_감마, #감마AI,#Presentation, #PresentationSkills, #EffectivePresentation, #PresentationDesign, #ScriptWriting, #프레젠테이션, #프레젠테이션기술, #효과적인프레젠테이션, #프레젠테이션디자인, #스크립트작성, #프리젠테이션, #프리젠테이션기술, #프리젠테이션디자인, #프리젠테이션자동화,#TimeSaving, #Productivity, #WorkEfficiency, #BusinessEfficiency, #시간절약, #생산성, #업무효율성, #비즈니스효율성, #업무생산성향상, #시간절약도구,#Learning, #Education, #ProfessionalDevelopment, #SkillDevelopment, #학습, #교육, #전문가발전, #기술발전, #AI교육, #온라인교육,#SMEs, #BusinessTechnology, #Innovation, #중소기업, #비즈니스기술, #혁신, #중소기업기술, #기술혁신,#Presentation,#PPT |
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https://www.udemy.com/course/chatgpt-business-strategy-masterclass/ 2023년 산업계를 강타한 ChatGPT! 본 강의는 CEO와 기업 실무자를 위해 ChatGPT의 원리와 사용법 및 비즈니스 응용전략을 학습하는 강의입니다. ChatGPT의 핵심 원리와 비즈니스 응용 전략ChatGPT를 업무에 바로 사용할 수 있는 500개 이상의 프롬프트(질문세트)와 효과적인 사용법ChatGPT를 활용한 신규 사업 기획 실제 사례 Case StudyChatGPT를 활용한 기업의 문제 해결 및 의사결정 능력 향상 전략GPT 서비스들의 경쟁 전략과 시장 전망(2024년 최신 내용을 포함하여 전면 업데이트된 영상이 촬영 편집 중이며 곧 업데이트 될 예정입니다.) |
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AI 에이전트의 대세, 펠로(Felo) 워크플로우로 리서치부터 시각화까지 (Udemy) https://www.udemy.com/course/maso-ai-felo-onc116/ "어제보다 성장하겠습니다. 그리고, 어제보다 성장하려는 사람을 돕겠습니다."마소캠퍼스의 진심과 소망을 담은 Actionable Content로,2013년부터 온오프라인으로 함께해 온 누적 강의 1억시간!이 소중한 경험과 시간은 언제나 마소캠퍼스와 수강생 모두의 성장의 원천입니다. -"AI를 써도 왜 여전히 일이 복잡할까?" Felo AI라면 다릅니다.템플릿을 써도 구조는 손으로 짜고,자동화 툴인데 결국 내용은 내가 다 입력했다면?이제 Felo AI와 함께 업무 혁신을 시작할 때입니다.- 반복 업무를 줄이고 중요한 일에 집중하도록 실무형 문서 구조 설계- 검색, 정리, 재작성, 문서 저장까지 이어지는 정보 처리 자동화 흐름 체험- 마인드맵, PPT 자동 생성, Notion·Canva 연동 등 협업 친화 기능 실습판을 바꾸는 새로운 도구가 필요할 때,Felo AI가 그 시작이 됩니다.Felo AI란?Felo AI는 자연어 기반의 대화형 검색 엔진으로, 사용자가 입력한 질문에 대해 다양한 출처에서 정보를 수집하고 요약하여 제공합니다.특히 2억 4,500만 개 이상의 학술 논문을 포함한 방대한 데이터베이스를 바탕으로 정확하고 신뢰할 수 있는 정보를 탐색할 수 있도록 설계되어 있습니다.또한 템플릿 활용, 에이전트 설정, Notion 연동 등으로 반복 업무를 줄이고 전략적 사고에 집중할 수 있는 환경을 만들어줍니다.이제부터는 검색하고, 정리하고, 문서화하는 모든 과정을 Felo로 설계해보세요!AI 에이전트의 대세, 펠로(Felo) 워크플로우로 리서치부터 시각화까지 커리큘럼 특징Felo AI의 검색, 문서화, 자동화 기능을 실무에 적용하는 방법을 단계별로 익히는 강의입니다.Felo AI 검색 활용법 완전 정복소스별 검색 및 후속 질문 기능을 활용하여 정보 탐색의 정확도를 높이는 전략 습득자동화를 위한 AI 에이전트 설계업무 목적에 맞춘 작성 방식 설계를 통해 반복적인 실무 프로세스 최적화업무 생산성을 높이는 템플릿 응용구조화된 템플릿을 활용해 기획서/보고서/PPT 제작 속도 및 완성도 향상실무 협업 흐름을 고려한 플랫폼 연동 구성Notion 및 Canva 등 실무 도구와의 연계를 통해 효율적인 협업 환경 구축GPT와의 협업을 통해 Felo AI의 강점을 살리고 한계는 보완하는 활용 예시 공개문서 작업이 가벼워지는 AI 실무 강의! Felo AI로 새롭게 시작하세요.이런 분께 자신있게 추천드립니다.- 수집한 자료를 바로 정리하고, 요약 문서로 전환하고 싶은 직장인- 바로 활용할 수 있는 기획서, 보고서 템플릿을 찾고 있는 실무자- 마인드맵부터 PPT까지 폭넓은 시각화 자료를 제작하고자 하는 실무자- Notion 연동부터 협업 문서 관리 기능까지 활용하고 싶은 실무자- 생성형 AI의 한계를 느끼고, ChatGPT와 병행하여 시너지를 창출하고 싶은 모든 사람검색, 정리, 작성이 따로 노는 실무 - 이제는 하나로 합쳐보세요.대답만 하는 AI가 지겨워졌다면,보고서·PPT·템플릿까지 내 일에 맞춰 완성해주는 Felo AI는 어떨까요?강의 특징STEP 1. Felo AI 검색 기능 A to Z소스별 검색 및 후속 질문 기능으로 심층적인 정보 수집 방법 학습STEP 2. 맞춤형 에이전트를 통한 반복 업무 자동화Felo AI Agent와 심층 추론 모드를 활용해 과업에 최적화된 활용법 습득STEP 3. 다양한 실무 문서 자동 생성보고서, 기획서, 마인드맵, PPT 등 주요 문서를 템플릿 기반으로 빠르게 생성STEP 4. Notion 및 Canva 연동 실습AI로 작성된 콘텐츠를 외부 도구와 연동하여 편리한 문서 관리 구조 설계STEP 5. ChatGPT 협업을 통한 AI 시너지 극대화Felo AI의 구조화 기능과 ChatGPT의 생성 능력을 결합하여 실무 흐름 전반의 생산성 향상-[ 강 사 소 개 ]정 옥 선現 마소캠퍼스 AI 툴 부문 대표강사챗GPT·생성형AI 교육전문가 1급 자격 보유저는 생성형 AI와 프롬프트 엔지니어링을 기반으로, 누구나 쉽게 실무에 적용할 수 있는 AI 활용법을 교육하는 콘텐츠 전문가입니다. 다양한 산업군의 실무자들을 대상으로 한 교육 경험을 토대로, 업무 생산성 향상과 디지털 전환을 돕는 AI 교육 커리큘럼을 개발하고 있습니다.현재는 한국미래에이아이협회 협회장으로서 강사 양성과 기업 교육을 이끌며, AI 기술을 실질적인 도구로 만들어가는 데 주력하고 있습니다. 동시에 생성형 AI의 실무 활용을 주제로 한 도서를 공동 집필하여 교육 현장에서 다뤄온 내용을 출판을 통해 체계화하고 있습니다.이번 강의에서는 Felo AI의 검색, 문서화, 자동화 기능을 단계적으로 익히며, 정보 탐색부터 보고서 완성까지의 전 과정을 실무에 맞춰 익히게 됩니다. 실무 중심의 AI 학습을 통해, 일하는 방식을 빠르고 효율적으로 변화시켜보세요. |
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AI 완전정복을 위한 딥러닝 튜토리얼 part 1 (Udemy) https://www.udemy.com/course/dlpart-1/ 정보통신부 선정 국책대학원인 성균관대 인공지능대학원 AI 교육과정의 핵심을 정리한 교육과정으로 단기간 내에 체계적이고 효과적인 지식 습득이 가능합니다. IT, 제조 등 다양한 산업부문의 대기업 직무능력 개발교육으로 활용되면서 현장 중심 콘텐츠로 최적화되어 있습니다. 현업에서 개발자로 근무하고 있지만 각 알고리즘의 특성과 이론의 배경을 모르고 있어 현업 적용에 한계가 있는 학습자, 인공지능대학원의 체계적인 커리큘럼에 따른 딥러닝 강의로 AI 기반지식을 다지고 싶은 분들에게 추천합니다.또한 본 과정 수료 후에 추가적인 교육(실습 및 캡스톤 프로젝트 수행) 이수를 통해서 인공지능부문 전문가로 성장할 수 있습니다. (성균관대의 인공지능분야 Micro Degree 연계 가능) * 오프라인 실습은 이론수업(머신러닝, 딥러닝) 수강을 마친 학습자들을 대상으로 운영되며, 2주-3주 간의 AI프로젝트를 통해 직접 모델을 설계하고 성능을 시험하는 캡스톤 프로젝트 과정을 수행할 수 있습니다. 프로젝트 기간 중에는 석박사 조교들의 지원이 제공될 예정입니다. |
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AI 완전정복을 위한 딥러닝 튜토리얼 part 2 (Udemy) https://www.udemy.com/course/dlpart-2/ 딥러닝 part1 강의를 듣고 딥러닝의 주요 개념을 확장하여 학습하고 싶은 학습자를 위한 강의로 본 과정 수료 후에 추가적인 교육*(실습 및 캡스톤 프로젝트 수행) 이수를 통해서 인공지능부문 전문가로 성장할 수 있습니다. 딥러닝 이론의 발전, 여러 이론에 대한 이해를 종합적으로 학습할 수 있으며 Gradient Vanishing, Dropout, Convolution and Pooling, CNN 기본 등에 대해 다루게 됩니다. 특히 본 강의는 정보통신부 선정 국책대학원인 성균관대 인공지능대학원 AI 교육과정의 핵심을 정리한 교육과정으로 단기간 내에 대학원 수준의 체계적이고 효과적인 지식 습득이 가능합니다. * 오프라인 실습은 이론수업(머신러닝, 딥러닝) 수강을 마친 학습자들을 대상으로 운영되며, 2주-3주 간의 AI프로젝트를 통해 직접 모델을 설계하고 성능을 시험하는 캡스톤 프로젝트 과정을 수행할 수 있습니다. 프로젝트 기간 중에는 석박사 조교들의 지원이 제공될 예정입니다. 추가 오프라인 교육에 대한 문의는 인재교육원홈페이지를 참고해주세요. |
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AI 입문자를 위한 MS AI 핵심기술 완전정복 (Udemy) https://www.udemy.com/course/ai-ms-ai/ 최근 국내는 물론 세계적인 AI 열풍에 맞물려 2024년 기준 전세계 클라우드 AI 시장은 연평균 25% 성장률을 기록하며, 특히 Azure AI 서비스 수요가 급증하고 있습니다특히 삼성 SDS,KT,LG CNS,SK텔레콤,신한은행,KB 금융그룹과 같은 제조업은 물론이고 통신,금융,서비스 등 다양한 분야의 업체들에서 Azure 도입 사례가 늘어나고 있는 상황입니다이에 필요한 AI 관련 인력들을 점점 더 많이 요구하고 있으며 더불어 기존 직원들에 대한 AI 관련교육의 필요성이 더 대두되고 있는 실정입니다이러한 추세와 상황에 부응하여 AI 구현 기술을 이해하기 위한 내용을 학습함은 물론 이미 세계적으로 인지도 높은 MS 공인 자격증인 AI-900 시험에 합격할 수 있도록 하는 집중적인 이론 및 실습 교육을 진행합니다AI-900 자격증은 기술적인 배경 지식을 보유한 사람 뿐만 아니라 기술적인 배경이 없는 사람들도 도전할 수 있으며, 데이터 과학이나 소프트웨어 엔지니어링 경험이 없더라도 도전 취득할 수 있습니다. 이러한 결과는 AI 분야 입문이나 기초 이해를 원하는 다양한 사람들에게 적합하다는 것을 의미하며 이 과정을 통해 최신 IT 흐름의 대세인 AI기술의 이해와 응용력 그리고 국제 자격증 취득이라는 2마리 토끼를 잡을 수 있는 기회를 제공합니다학습 콘텐츠는 2025년 5월 기준 Azure 최신 기술 및 인터페이스를 반영하여 AI 개요, 머신러닝 기초, 컴퓨터 비전, 자연어 처리, 문서 인텔리전스, 지식 마이닝, 그리고 생성형 AI를 포함한 이론과 실습이 겸비된 형태로 제공됩니다특별히 1개월간(2025. 05. 12~06.12) 강의개설 기념 프로모션으로 30% 할인 가격에 신청할수 있으니 신청시 할인쿠폰(6B88F2134F07B5687939) 이용바랍니다 |
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AI 채용: 채용 프로세스 자동화 및 최적화 HR [KO] (Udemy) https://www.udemy.com/course/ai-recruit-ko/ "AI 기반 채용 및 소싱" 과정 - Mike Pritula AcademyMike Pritula Academy의 "AI 기반 채용 및 소싱" 과정은 HR 전문가, 리크루터, 소싱 전문가가 인공지능(AI)을 채용 프로세스에 효과적으로 통합할 수 있도록 돕기 위해 설계되었습니다. AI 도구를 활용하여 업무 효율을 높이고, 우수한 인재를 확보하며, 인재 확보 경쟁에서 앞설 수 있습니다. 이 과정에서 배우게 될 내용:AI 채용 및 소싱의 기회와 트렌드:AI가 현대 채용에 어떻게 사용되는지, 최신 트렌드 및 성공 사례를 통해 이해합니다.AI로 채용 공고 텍스트 및 이미지 최적화:채용 공고를 생성하고 개선하며, 시각적 요소도 자동으로 제작하는 방법을 배웁니다.후보자 자동 선별:AI 기반 검색, 자동 매칭 알고리즘, ATS(지원자 추적 시스템) 통합 활용법을 익힙니다.소싱 및 커뮤니케이션 자동화:후보자 검색 및 맞춤형 메시지 전송을 위한 AI 도구와 플러그인을 활용합니다.면접 분석 및 후보자 평가:AI로 역량을 평가하고, 인터뷰를 전사 및 분석하는 실전 활용법을 학습합니다.브랜드 구축 및 채용 마케팅 강화:AI를 통해 고용주 브랜드를 강화하고, 마케팅을 자동화하며 효과를 측정합니다. 강의 구성:1. AI 기반 채용 및 소싱 트렌드와 기회AI의 역할 소개최신 트렌드와 혁신성공적인 사례리스크와 도전 요소미래 예측2. 채용 공고 텍스트 및 이미지 작업공고 작성 및 최적화AI를 활용한 광고 매력 분석이미지 자동 생성 도구 및 팁3. 채용 자동화 및 후보자 선별검색 및 선별 효율화자동 매칭 도구 및 알고리즘ATS와의 통합 및 전략적 사례4. 소싱 및 커뮤니케이션 자동화후보자 소싱 자동화 도구이메일 시퀀스 자동화 및 플러그인맞춤형 메시지 작성 전략5. 평가 및 인터뷰 분석AI를 활용한 역량 평가인터뷰 전사 및 분석 도구객관적 평가 방법 및 편향 방지 기법6. 고용주 브랜드 및 채용 마케팅 강화브랜드 형성과 전략적 포지셔닝AI 기반 마케팅 자동화 및 최적화캠페인 성공 사례와 효과 측정 과정 특징:전문가 강의:HR 분야에서 AI 채용 경험이 풍부한 Mike Pritula의 실전 강의유연한 학습 방식:총 6개의 녹화된 강의를 수강 시간에 맞춰 자유롭게 학습실전 과제 & 피드백:매 과제마다 강사로부터 개별 피드백 제공커뮤니티 지원:전용 Q & A 채팅방에서 다른 수강생들과 교류 및 질문 가능공식 수료증 제공:과정 완료 시 LinkedIn과 연동 가능한 인증서 제공 이 과정은 누구를 위한 것인가요?리크루터 및 소싱 전문가인재 확보를 효율적으로 하고 싶은 HR 전문가채용 브랜딩과 프로세스를 최적화하려는 인재 확보 관리자AI 채용 기술을 마스터하면, 채용 속도를 높이고 최고의 인재를 유치하며 업계 내 경쟁 우위를 확보할 수 있습니다.지금 등록하고 채용 전략을 한 단계 업그레이드하세요! |
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https://www.udemy.com/course/ai-foundation-i/ This foundational program is your gateway to understanding and engaging with the rapidly evolving world of Artificial Intelligence. We've meticulously structured this course to empower individuals from all backgrounds - whether you're a business professional seeking strategic advantages, a technology leader aiming to drive innovation, an ethics advocate focused on responsible deployment, an AI enthusiast eager to learn, or a student building future-proof skills. You will gain essential knowledge of the core concepts that underpin AI, including machine learning, deep learning, and natural language processing, presented in an accessible and engaging manner. Beyond theory, we delve into the diverse and impactful real-world applications of AI across various industries, illustrating how this technology is already transforming how we live and work. A key element of this course is learning the fundamentals of interacting with AI through prompt engineering, a vital skill in leveraging the capabilities of modern AI systems. Furthermore, we address the critical ethical considerations surrounding AI, fostering a responsible and informed perspective on its development and deployment. By the end of this course, you will be equipped with a solid foundation to confidently navigate the AI landscape, understand its potential, and recognize its limitations, setting you on a path for continued learning and engagement in this transformative field. |
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AI+ Industrial Design人工智能+工業設計 (Udemy) https://www.udemy.com/course/midjourney-industrial-design/ Midjourney是一款基於人工智能技術的設計輔助工具，它能夠幫助工業設計師更快地生成設計概念圖，並且提高設計品質和效率。現在，您可以學習如何操作Midjourney，以及如何應用AI繪圖技術來輔助設計概念圖的產生。在這堂入門課程中，您將學習到如何註冊Midjourney帳號，登錄Midjourney平台，以及如何開始進行設計概念的生成。您將學習到如何在Midjourney的設計概念工具中，選擇不同的設計風格和主題，添加您自己的設計元素，並快速生成設計概念圖。此外，您還將學習如何將您的設計概念圖保存為完稿圖或線稿圖，並將其下載到您的電腦上。這將讓您更方便地將設計概念圖分享給您的客戶和同事，並且更好地展示您的設計理念和創意。Midjourney入門課程將幫助您快速掌握如何操作Midjourney，並且了解如何應用AI繪圖技術來輔助設計概念圖的產生。不僅如此，這堂課程還將讓您成為一名更優秀的工業設計師，讓您的設計更加專業、創新、有競爭力。現在就加入Midjourney入門課程，開始學習如何使用Midjourney和AI繪圖技術來提高您的設計效率和品質，並且創造更多驚人的設計作品！ |
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https://www.udemy.com/course/aippt-rv/ 【课程简介】在当今这个信息爆炸的时代，我们每天都需要处理大量信息，而PPT作为一种常见的信息展示工具，其制作过程往往繁琐且耗时。随着人工智能技术的发展，AI+PPT已经成为了一种新兴的工作方式，它可以帮助我们更高效地完成PPT的制作，从而提升我们的职场效率。为了帮助大家更好地理解和掌握AI+PPT的相关知识和技能，特别研发了《AI+PPT：革新工作方式，提升职场效率》的课程。本课程由资深PPT培训师亲自授课，通过讲解AI+结构思考、AI+智能制作、AI+美化设计三大模块内容，深入浅出地介绍了如何利用Ai技术提升PPT制作的效率和质量。在AI+结构思考模块中，我们将学习如何利用AI技术进行结构化的思考，从而帮助我们更好地组织和整理PPT的内容。在AI+智能制作模块中，我们将学习如何使用AI技术进行PPT的智能制作，包括自动生成幻灯片、智能排版等。在AI+美化设计模块中，我们将学习如何使用AI技术进行PPT的美化设计，包括素材搜索、素材处理等。【课程特点】1.内容系统：以案例实操为主，内容全面系统，由浅入深，逐级递进讲解；2.课时丰富：专业且全面，课时完整的线上课程，让学员可以系统地学习；3.讲师权威：课程主讲教师是金山办公教育培训专家、金山办公认证培训讲师和微软Office认证导师，拥有丰富的教学与实战经验；4.视频优质：详细的操作示范，高质量的视频剪辑，搭配字幕、重点内容放大效果，提供更优质的学习体验；5.配套练习：提供配套练习素材，边看边学，边学边练，零基础轻松入门。 |
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AI, Basic Statistics, Basic Python, Basic R, ML (Overview) (Udemy) https://www.udemy.com/course/ai-basic-statistics-basic-python-basic-r-ml-overview/ The AI world is too big to comprehend. The AI has been most talked about for last few years and the knowledge has been spread across multiple places. As practitioner of AI, I am trying to bring many relevant topics under one umbrella in following topics.1. Various terms used under the umbrella of AI2. Understand and use Basic Statistics (90% hands on and 10% theory)3. Basic Python (90% hands on and 10% theory)4. Basic R (90% hands on and 10% theory)5. Will able to understand the various terms used under the umbrella of Machine learning (ML) |
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AI, ChatGPT, IoT Smart Technologies. The Future of Tourism (Udemy) https://www.udemy.com/course/ai-chatgpt-iot-smart-technologies-the-future-of-tourism/ The tourism industry is undergoing a profound transformation, driven by innovative technologies like artificial intelligence (AI), ChatGPT, and the Internet of Things (IoT). These advancements are redefining the way we plan, experience, and manage travel, creating smarter, more sustainable, and personalized tourism solutions. In AI, ChatGPT, IoT Smart Technologies: The Future of Tourism, you'll explore how these cutting-edge technologies are revolutionizing the industry.This course offers a comprehensive overview of AI-powered tools, conversational AI like ChatGPT, and IoT applications in the tourism sector. You'll learn how AI is being used to analyze traveler preferences, provide personalized recommendations, and streamline operations in hospitality and travel services. With a focus on ChatGPT, you'll discover how conversational AI enhances customer service, simplifies trip planning, and enables real-time communication for tourists.We'll also explore IoT-enabled smart technologies that are transforming destinations, accommodations, and transportation systems. Through real-world examples, you'll see how IoT is creating connected ecosystems, such as smart hotels, automated check-ins, and efficient resource management for sustainability.This course is designed for tourism professionals, entrepreneurs, students, and tech enthusiasts who want to stay ahead of the curve in an ever-evolving industry. By the end, you'll have the knowledge to embrace smart technologies, innovate in your field, and prepare for the future of travel.Join us to discover the exciting opportunities in smart tourism and learn how you can be part of this technological revolution. Let's shape the future of tourism together! |
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AI, Collective Data Governance, and Law (Udemy) https://www.udemy.com/course/collective-data-equity-accelerator-in-inclusive-ai-economy/ In the AI-driven economy, data is the new currency-but who truly owns it, and who benefits? While corporations have commodified data for profit, communities remain excluded from decision-making, value-sharing, and governance structures. This course explores a radical yet necessary shift from data as a corporate asset to data as a collective resource, ensuring equity, accountability, and sustainable development in the digital era.Through expert-led lectures, immersive case studies, and actionable frameworks, participants will gain a deep understanding of legal, economic, and governance mechanisms that can challenge monopolistic data ownership and advocate for collective data sovereignty.You will learn to understand how data powers AI-driven innovation and economic structures; legal and governance models for equitable data rights; examining property laws, competition laws, and digital rights; the roles of governments, corporations, and civil society in shaping ethical AI policies; auditing AI-driven decisions to ensure fairness and compliance; exploring antitrust strategies and decentralized governance alternatives; comparative approaches from the EU, U.S., China, and emerging markets; addressing algorithmic bias, digital exclusion, and economic disparities; crafting policies and campaigns to demand fair data governance; designing economic models for community-driven data ownership and sustainable AI governance.The future of AI and data governance is not yet written. This course equips you with the knowledge and tools to shape it. Enroll today and be part of the movement toward ethical, transparent, and inclusive data governance. |
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AI, Deep Learning and Computer Vision with Python BootCamp (Udemy) https://www.udemy.com/course/deep-learning-and-neural-networks-with-python/ Unlock the power of artificial intelligence with our comprehensive course, "Deep Learning with Python." This course is designed to transform your understanding of machine learning and take you on a journey into the world of deep learning. Whether you're a beginner or an experienced programmer, this course will equip you with the essential skills and knowledge to build, train, and deploy deep learning models using Python and PyTorch. Deep learning is the driving force behind groundbreaking advancements in generative AI, robotics, natural language processing, image recognition, and artificial intelligence. By enrolling in this course, you'll gain practical knowledge and hands-on experience in applying Python skills to deep learningCourse OutlineIntroduction to Deep Learning Understanding the paradigm shift from machine learning to deep learningKey concepts of deep learningSetting up the Python environment for deep learningArtificial Deep Neural Networks: Coding from Scratch in PythonFundamentals of artificial neural networksBuilding and training neural networks from scratchImplementing forward and backward propagationOptimizing neural networks with gradient descentDeep Convolutional Neural Networks: Coding from Scratch in PythonIntroduction to convolutional neural networks (CNNs)Building and training CNNs from scratchUnderstanding convolutional layers, pooling, and activation functionsApplying CNNs to image dataTransfer Learning with Deep Pretrained Models using PythonConcept of transfer learning and its benefitsUsing pretrained models for new tasksFine-tuning and adapting pretrained modelsPractical applications of transfer learningDeep Learning for Image Classification with PythonTechniques for image classificationBuilding image classification modelsEvaluating and improving model performanceDeploying image classification modelsDeep Learning for Pose Estimation with PythonIntroduction to pose estimationBuilding and training pose estimation modelsUsing deep learning for human pose estimationDeep Learning for Instance Segmentation with PythonUnderstanding instance segmentationBuilding and training instance segmentation modelsTechniques for segmenting individual objects in imagesDeep Learning for Semantic Segmentation with PythonFundamentals of semantic segmentationBuilding and training semantic segmentation modelsTechniques for segmenting images into meaningful partsReal-world applications of Semantic segmentationDeep Learning for Object Detection with PythonIntroduction to object detectionBuilding and training object detection modelsTechniques for detecting and localizing objects in imagesPractical use cases and deploymentWho Should Enroll?Beginners: Individuals with basic programming knowledge who are eager to dive into deep learning.Intermediate Learners: Those who have some experience with machine learning and wish to advance their skills in deep learning and PyTorch.Professionals: Data scientists, AI researchers, and software engineers looking to enhance their expertise in deep learning and apply it to real-world problems.What You'll GainA solid foundation in deep learning concepts and techniquesHands-on experience in building and training various deep learning models from scratchProficiency in using Python and PyTorch for deep learning applicationsThe ability to implement and fine-tune advanced models for image classification, pose estimation, segmentation, and object detectionPractical knowledge to deploy deep learning models in real-world scenariosWhy Choose This Course?Comprehensive Content: Covers a wide range of deep learning topics and applications.Hands-on Projects: Practical coding exercises and real-world projects to solidify your understanding.Expert Guidance: Learn from experienced instructors with deep expertise in deep learning and Python.Flexible Learning: Access the course materials anytime, anywhere, and learn at your own pace.Enroll now and embark on your journey to mastering deep learning with Python and PyTorch. Transform your skills and open up new career opportunities in the exciting field of artificial intelligence!See you inside the course!! |
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AI, Machine Learning & GenAI in a Weekend - for Non-Coders (Udemy) https://www.udemy.com/course/ai-machine-learning-genai-in-a-weekend-for-non-coders/ Learn Artificial Intelligence, Machine Learning and Generative AI in the simplest possible way. Make yourself AI aware. End of this course, you will be in a position to speak AI with othersDesigned for beginners with ZERO knowledge on AI. No Coding skill requiredThis course is designed to cover everything about AI in a high level. It covers all the key concept of AI in a beginners friendly manner with easy to understand examples. You will Learn:Fundamental of Artificial Intelligence, Machine Learning and Generative AI Concept of machine learning and its relation to AISupervised Learning, Unsupervised Learning & Reinforcement Learning in Machine LearningTypes of Data - Labelled Data & Unlabelled DataTypes of Data - Structured Data & Unstructured DataStages in Machine LearningOverfitting & UnderfittingWhat is Natural Language Processing?How Artificial Neural Network works?Foundation Models, Large Language Models, Diffusion ModelsBasic of Deep LearningMulti-modal ModelsToken and Embedding in AIContext Window of a modelKnowledge Cutoff of a modelHallucinationGrounding and RAG in AIAll you need to know about Prompt EngineeringWho Should Take This Course?This course is designed for anyone interested in learning about AI, including:Beginners who wants to understand AI without coding.IT Engineers and IT Managers who is working with AI or planning to work with AIStudents preparing for careers in technology and need basic understanding of AI |
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AI, Machine Learning, Statistics & Python (Udemy) https://www.udemy.com/course/ai-machine-learning-statistics-python/ This course provides a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML) with a focus on applications in the telecommunications industry. Learners will begin with an overview of AI/ML concepts, followed by a deep dive into essential statistical foundations and Python programming for data analysis. The course covers key machine learning techniques, including supervised and unsupervised learning, model evaluation, and optimization methods. Finally, real-world use cases in telecom, such as network optimization, fraud detection, and customer experience enhancement, will be explored. By the end of the course, participants will have a strong foundation in AI/ML and its practical implementations.Course includes -AI BasicsMachine Learning OverviewTypes of Machine LearningDeep LearningApplications in TelecomIntroduction to Statistics ·Overview of Python & its libraries ·Descriptive StatisticsCentral Tendency, Dispersion & Visualization (hands on - excel & python)Probability and DistributionsNormal, Binomial & Poisson Distribution (hands on - excel & python)Inferential StatisticsHypothesis testing (t-tests)Confidence IntervalIntroduction to Supervised LearningLinear RegressionHypothesis, Cost function, Gradient Descent, RegularizationExample of telecom networkLogistic RegressionSigmoid Function, Decision Boundary, Anomaly detectionExample of telecom networkThroughout the course, participants will engage in hands-on projects and case studies, applying AI/ML techniques to real telecom datasets. By the end of the program, learners will have a strong technical foundation in AI/ML, practical coding skills, and the ability to implement AI-driven solutions tailored to the telecommunications sector. |
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AI, ML & IT's IMPACT ON DIGITAL MARKETING (Udemy) https://www.udemy.com/course/artificial-intelligence-machine-learning-digital-marketing/ LEARN THE BASICS OF AI/ML (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING) IT'S IMPACT ON DIGITAL MARKETING. KNOW THE FUTURE OF DIGITAL MARKETING, JOBS, AND CAREERS IN DIGITAL MARKETING. COURSE WITH INDUSTRY INSIGHTS AND KNOWLEDGE. Why to Choose This Course?This course will explain you the need of a marketer to understand Artificial Intelligence and machine learning usage with impacts for the future. This course will cover you the idea of various digital marketing platforms and the impact of machine learning on those platforms. Various artificial intelligence and machine learning tools available to implement. How artificial intelligence has already been in business and the statistics. This course will be helpful for both the marketers and students who would like to pursue their career in digital marketing. Do I really need to take this course? You might be a marketer with 3-5 years of digital marketing experience and handling the marketing for your organization or you might be an entrepreneur who is looking into every aspect of marketing. But, your current marketing tools and campaigning are eating your lot of time and you are looking for an efficient tool to make your work productive. Then artificial intelligence/machine learning tools can help you to achieve the required results. This course consist of artificial intelligence with digital marketing tools and how the future is going to be for marketing. Content and OverviewI believe time is the most precious thing and when you are investing your time to learn this course then you should get the best. With easy to digest lectures on the updated Artificial Intelligence/Machine Learning and Digital Marketing Trends that required for a successful marketing campaign. You will start the course with the basics on Artificial Intelligence, Machine learning and its impact on Digital Marketing. You will learn the each individual aspect of digital marketing and artificial intelligence or machine learning impact on it. Such as AI and content marketing, AI and E-mail marketing, AI and SEO and so on. Even if you are non-technical, you can understand the content easily. What are the SEO strategies and techniques required for a website/Blog page to get high ranks in the top search engines. (Website development and SEO Requirement) as per the voice search. Everything you should know about a SEO strategy for a website required modification with respect to artificial intelligence tools. Content the "King of Digital Marketing", Get insights and AI importance for a content to be developed for a website. You will hear about the importance of structured and meaningful content with Keywords required for a better SEO of a webpage and how you can curate the content with the help of Machine learning tools. Most important and vital artificial intelligence/machine learning tools required to measure the success rate of marketing campaigning for a website and how to use them to fix the issues and errors. You will get an idea about the available free and pro tools online. Know the Google algorithmic update, Rankbrain for SEO from the starting which are highly significant for a successful SEO strategy using AI tools. Get an understanding of Artificial Intelligence (AI), Machine Learning (ML) and its impact on Digital marketing. I will lead you through easy to understand strategies to render the best ROI. What Will I Learn?Know the basics of AI. Know the basics of ML. AI/ML tools and it's impact on digital marketing. Know about Content marketing and AI/ML tools impact.Know about Digital Advertising and AI/ML tools impact. Know about e-mail marketing and AI/ML tools impact. SEO and Artificial intelligence. The complete AI/ML tools impact on Digital Marketing. Strat-up ideas on AI/ML with Digital Marketing. These are some of the topics that I have mentioned here, But after going through the session you will understand many more additional topics. |
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https://www.udemy.com/course/ai-ml-ds/ Предлагаемый курс охватывает основные положения и взаимосвязь наиболее популярных и высокооплачиваемых в области ИТ-сферы искусственного интеллекта, науки о данных и машинного обучения, а также языка Python как их инструментального средства.Наш курс позволит новичкам успешно решить проблему выбора высокооплачиваемой профессии в области ИТ-сферы, быстро овладеть основными понятиями, задачами и направлениями искусственного интеллекта, науки о данных и машинного обучения.По окончании курса вы будете знать какие инструментальные средства языка Python использовать для решения задач искусственного интеллекта, науки о данных и машинного обученияОбзор тем курса:1. Искусственный интеллект как одно из наиболее перспективных и финансируемых направлений в области ИТ-сферы, его основные задачи и направления2. Наука о данных, как одно из самых популярных и финансируемых направлений обработки данных, ее задачи и уникальная востребованность в области ИТ-сферы3. Язык объектно-ориентированного программирования Python, как главное инструментальное средство для решения основных задач науки о данных, и его преимущества5. Взаимосвязь искусственного интеллекта, науки о данных и машинного обучения для успешного выбора будущей профессии в области ИТ-сферы6. Машинное обучение, его виды и методы, уникальная востребованность в области ИТ-сферыПреимущества курса - краткое и понятное объяснение основных понятий искусственного интеллекта, науки о данных и машинного обучения, их основных задач и направлений, языка Python как их инструментального средства, а также их уникальной востребованности для новичков, определяющихся с выбором высокооплачиваемой профессии в области ИТ-сферы |
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AI, Neural Networks, and ChatGPT (Udemy) https://www.udemy.com/course/ai-and-chatgpt/ Artificial intelligence (AI) has recently emerged to be a technology revolution that is able to provide benefits beyond traditional rules-based approaches. AI and neural networks are able to overcome the complexities and optimize the performance of communications networks, computer graphics, multimedia and language processing systems, data science, navigation and voice assistants, and numerous applications. Using 200 informative slides, two interesting projects, and Python code, this course will equip participants with the foundational knowledge on the key building blocks of naturally intelligent learning systems and generative AI, including large-scale language models used in the global phenomenon ChatGPT.Learning OutcomesOverview of AI and machine learning, and their capabilitiesNeural network architecture and implementation, including perceptron and adaline training, attractor networks with memory, biological and competitive learning, and interpretable modeling using the Kolmogorov-Arnold NetworkGenerative AI using supervised, reinforcement, unsupervised trainingSpeech, image, and video AI enhancements using recurrent neural network, convolutional neural network, and Adam optimizerChatGPT components, including tokenization, embedding, encoding, decoding, language and post processingAbout the InstructorThe instructor has worked at the Georgia Institute of Technology for many years and has been an active speaker for the IEEE and industry. He has trained hundreds of engineers from various companies around the globe. His current research interest is in optimizing media processing (language, speech, audio, video) and wireless systems using AI. He is a senior member of the IEEE. |
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AI- Powered Market Intelligence and Strategic Analysis (Udemy) https://www.udemy.com/course/ai-driven-market-analysis/ In the rapidly evolving business landscape, the ability to analyze market trends and predict future shifts is invaluable. "AI-Driven Market Analysis: Transforming Data into Business Insights" is a comprehensive online course designed to equip learners with the skills to harness the power of artificial intelligence (AI) in market analysis. This course offers an in-depth exploration of AI-driven techniques, including machine learning models, data analysis, and predictive analytics, with a strong emphasis on practical application.Participants will start with a foundational understanding of AI's role in market analysis, progressing through data handling and analysis techniques. The course then delves into various machine learning models, teaching students how to build, evaluate, and apply these models in real-world market scenarios. A significant focus is placed on predictive analytics, providing learners with the tools to forecast market trends and make data-driven decisions.The curriculum is enriched with real-world case studies and hands-on exercises, allowing students to apply their learning in practical contexts across various industries. This approach ensures that participants not only grasp theoretical concepts but also develop robust analytical skills applicable to their professional lives.This course is ideal for anyone looking to stay competitive in a data-driven business world, providing the tools and knowledge to turn data into actionable market insights through AI. |
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AI-100: Designing and Implementing an Azure AI Solutions (Udemy) https://www.udemy.com/course/ai-100-designing-and-implementing-an-azure-ai-solution/ Course Update:While the original content is based on the AI-100 exam, learners preparing for AI-102 can still benefit from the existing modules, as the core concepts and practical knowledge remain highly relevant and applicable to the updated certification.Course Overview:Microsoft Azure provides a comprehensive suite of services designed to enable rapid development, deployment, and operationalization of intelligent AI-driven solutions. This course is structured to help you understand how these services integrate to support the design, implementation, monitoring, optimization, and security of AI applications in real-world scenarios.Originally tailored for the Microsoft AI-100 certification exam, the course remains highly valuable for those pursuing AI-102, as it covers the foundational and advanced topics that are critical to success in the evolving AI landscape on Azure.What You'll Learn:The course offers deep, hands-on exploration of Azure Cognitive Services APIs, including:Vision APIs: Face detection, content tagging, and Optical Character Recognition (OCR)Language APIs: Language detection, sentiment analysis, and key phrase extractionYou'll implement these services using both Python and JavaScript, ensuring a practical, real-world learning experience that prepares you for modern AI development tasks.Detailed Course Content:1. Analyze Solution Requirements (25-30%)Recommend and select Azure Cognitive Services APIsChoose appropriate data processing technologies and AI modelsMap security and automation needs to technologies and toolsAlign with data privacy, protection, and compliance regulationsIdentify software, services, and storage to support the AI solution2. Design AI Solutions (40-45%)Create AI workflows and data ingestion/egress strategiesIntegrate pipelines using Azure Machine Learning and AI appsBuild solutions using Vision, Speech, Language, and Knowledge APIsDesign and integrate bots using the Microsoft Bot Framework and LUISSelect the right compute infrastructure (GPU, FPGA, CPU) and ensure cost-efficiencyIncorporate governance, compliance, and security principles in AI design3. Implement and Monitor AI Solutions (25-30%)Develop and manage AI pipelines and data flowConstruct custom AI service interfaces and solution endpointsIntegrate Azure Cognitive Services and the Microsoft Bot FrameworkImplement Azure Cognitive SearchMonitor key performance metrics and optimize AI performanceWhether you are aiming to pass the AI-102 certification or seeking to apply AI concepts in your organization, this course will equip you with both theoretical understanding and practical expertise.If you have any questions or need guidance, feel free to reach out. I'm here to support your learning journey.Welcome to the course - let's get started! |
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AI-100:Design & Implementing Azure AI Solution - Pract Test (Udemy) https://www.udemy.com/course/ai-100design-and-implementing-azure-ai-solution-prac-test/ DescriptionWelcome to practice test for AI-100:Designing and Implement an Azure AI SolutionMicrosoft Azure certifications are one of the most in-demand in the industry today. Microsoft Azure is a cloud platform that provides than 200 products and cloud services designed to help you bring new solutions to life - to solve today's challenges and create the future. Build, run and manage applications across multiple clouds, on-premises and at the edge, with the tools and frameworks of your choice. Candidates for this exam analyse the requirement using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.This practice test will help you prepare for the real Microsoft official exam test environment.Skills measuredAnalyze solution requirements (25-30%)Design AI solutions (40-45%)Implement and monitor AI solutions (25-30%)This course offers the following features:The practice tests are constructed to enhance your confidence to sit for real exam as you will be testing your knowledge and skills for the above-mentioned topics. The practice tests are accurate, proven correct by test-takers and will get you maximum score in the exam yet it is highly important to use our practice tests as a resource, not just the only resource.Prepared by an Microsoft Certified: Designing and Implementing an Azure AI Solution who has actually passed the actual AI-100 examAnswer keys at the end of each set have full and detailed explanations along with complete reference links so you can check and verify yourself that the answers are correctUpon enrollment, you will receive unlimited access to the tests as well as the regular updates.Good Luck and I am sure you will crack the exam!!!Disclaimer: The question available in this course is a sincere effort to present maximum questions for students to prepare for their certification. These sets are prepared by gathering questions from various internet sources. There are chances you might find these questions in various other courses, books and other internet links or blogs. Also, the questions are answered as per best of my knowledge and might be slight probability you find them incorrect. Please reach out to me for any incorrect answer with your explanation and I will update the answer accordingly. This course gives you maximum chance to clear your certification exam but cannot 100% guarantee the pass as it depends on your core knowledge of the subject as well. |
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AI-102 - Microsoft Certified: Azure AI Engineer Associate (Udemy) https://www.udemy.com/course/ai-102-microsoft-certified-azure-ai-engineer-associate-u/ The AI-102: Microsoft Certified Azure AI Engineer Associate course is designed to equip professionals with the skills needed to create and manage AI solutions using Microsoft Azure. This certification focuses on developing and implementing AI solutions that involve natural language processing (NLP), speech recognition, computer vision, and conversational AI. This course only helps to gain knowledge that will help you to pass your certification exam.Throughout the course, participants will learn how to use Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning to design, build, and deploy AI applications. The curriculum covers critical areas such as identifying suitable Azure AI services for specific business needs, integrating AI models into existing workflows, and ensuring the scalability, performance, and security of AI solutions.Learners will also gain hands-on experience in working with various Azure AI tools, such as Language Understanding (LUIS), QnA Maker, and Azure Machine Learning Studio. The course includes practical labs and real-world scenarios, enabling participants to apply their knowledge in real-time.By the end of the course, candidates will be well-prepared to pass the AI-102 certification exam and demonstrate their ability to develop AI solutions on Azure. This certification is ideal for AI developers, data scientists, and engineers who wish to validate their skills and advance their careers in AI and machine learning using Microsoft's Azure platform. |
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AI-102 Azure AI Engineer 100% Original Practice Exam OCT'24 (Udemy) https://www.udemy.com/course/ai102-azure-practice/ Getting ready for the AI-102 Exam: Microsoft Azure AI Engineer? Boost your career without the stress! Dive into these four practice tests, each with 25 questions, handpicked by our top Udemy teacher and Azure expert, Scott Duffy. They're designed to give you the confidence and knowledge you need to rock that exam.Our practice tests cover every topic you'll find on the exam. Think of it as a "sneak peek" into the real test. And guess what? We've made sure our tests are up-to-date with the latest exam details as of October 31, 2024. So, you can trust that you're getting the freshest prep materials.(Of course, do not expect the actual exam questions on this practice set. That is against Microsoft's Terms, and we don't recommend studying like that.)Prepare yourself for the actual exam with four timed tests. They'll help you see where you shine and where you might need a little more study time. It's like a dress rehearsal for the big day! And with our tests, we're sure you'll not only pass but also ace the AI-102 exam, unlocking your best self.Plus, we believe in what we offer. If our practice tests don't match up to what you expected, there's a 30-day money-back guarantee in line with Udemy's rules. Your investment in your future is secure with us.Don't let the AI-102 exam slow down your career goals. Dive into our practice tests and build solid confidence in your skills. Trust in Scott Duffy's expertise and our promise to help you succeed. Start your journey to mastering Azure today!The English language version of this exam was updated on October 31, 2024. This practice test covers the following topics and areas.Plan and manage an Azure AI solution (15-20%)Implement content moderation solutions (10-15%)Implement computer vision solutions (15-20%)Implement natural language processing solutions (30-35%)Implement knowledge mining and document intelligence solutions (10-15%)Implement generative AI solutions (10-15%) |
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AI-102 Azure AI Engineer Associate Practice Test (Udemy) https://www.udemy.com/course/ai-102-azure-ai-engineer-associate-practice-test-e/ Get fully prepared for the Microsoft Azure AI Engineer Associate (AI-102) certification with this comprehensive practice test course. This course includes 5 full-length practice exams with a total of 250 unique questions, carefully designed to mirror the real exam format and difficulty level.Course Features:5 different timed practice exams based on the latest AI-102 exam objectives250 original, non-repeating questions covering all exam topicsIn-depth explanations and answer keys for every questionDesigned to simulate the actual AI-102 exam environmentUnlimited retakes with lifetime accessSkills Measured:Planning and managing Azure AI solutionsImplementing Computer Vision solutionsImplementing Natural Language Processing (NLP) solutionsImplementing Conversational AI solutionsIntegrating AI models into end-to-end solutionsWho Should Enroll:Candidates preparing for the Microsoft AI-102 certification examAzure developers, AI engineers, and data professionalsAnyone interested in building intelligent applications using Azure Cognitive Services and AI capabilitiesWhy Take This Course:This practice test series is built to test your readiness for the AI-102: Designing and Implementing an Azure AI Solution certification. The questions are crafted to match the difficulty and structure of the real exam, helping you build confidence and improve your chances of passing on the first attempt.If you have any questions or need assistance, we're here to help.All the best-Happy Learning! |