Generative AI courses

542 Courses

Generative AI for Executives (Indonesian)

Generative AI untuk Eksekutif (Indonesian) Kursus ini menyediakan gambaran tingkat tinggi tentang AI generatif. Pemelajar mengeksplorasi arti AI generatif, cara AI generatif menangani kekhawatiran dan tantangan dari para eksekutif, dan caranya mendukung pertumbuhan bisnis. Mereka juga mempelajari bagaimana AI generatif berpotensi membawa perombaka.
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Generative AI for Executives (Traditional Chinese)

生成式 AI 高層主管課程 (繁體中文) 本課程提供生成式 AI 的綜觀。學員會探索什麼是生成式 AI、此服務如何解決高層主管的疑慮與挑戰,以及如何支援企業成長。學員還會了解到生成式 AI 有可能徹底改變多種產業的方式。 課程等級:基礎級 課程時長:13 分鐘 注意:本課程具有本地化的註釋/字幕。旁白保留英語。要顯示字幕,請按一下播放器右下角的 CC 按鈕。 活動 本課程.
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Generative AI for Executives (Simplified Chinese)

Generative AI for Executives (Simplified Chinese) 本课程提供了生成式 AI 的简要概览。学员可以了解什么是生成式 AI、它如何解决高管的担忧和难题,以及它如何助力业务增长。学员还可以了解生成式 AI 如何有可能为大量行业带来革命性巨变。 课程级别:基础级 时长:13 分钟 注意:本课程具有本地化的注释/字幕。 旁白保留英语。要显示字幕,请单击播放器右下角的 C.
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Amazon CodeWhisperer - Getting Started (Traditional Chinese)

Amazon CodeWhisperer - Getting Started (Traditional Chinese) Amazon CodeWhisperer 是採用生成式 AI 技術的進階程式碼撰寫工具,可在您輸入程式碼時以互動方式提供程式碼建議,協助提高程式碼效率和生產力。這簡化了您的程式碼撰寫體驗,因此您可以專注於自己的意圖。CodeWhisperer 也會直接在編輯器中掃描您的程式碼中是否存在安全漏洞。 在本課程中,您將學習如何在支.
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IA generativa para executivos (Português) | Generative AI for Executives (Portuguese)

IA Generativa para Executivos (Português) | Generative AI for Executives (Portuguese) Este curso oferece uma visão geral da IA generativa. Os alunos exploram o que é IA generativa, como essa tecnologia ajuda a lidar com os desafios e as preocupações dos executivos e como ela promove o crescimento dos negócios. Eles também aprendem como a IA gene.
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IA generativa para ejecutivos (Español de España) | Generative AI for Executives (Spanish from Spain)

IA Generativa para Ejecutivos (Español de España) | Generative AI for Executives (Spanish from Spain) Este curso proporciona una visión de alto nivel de la IA generativa. Los alumnos exploran qué es la IA generativa, cómo puede responder a las preocupaciones y retos de los ejecutivos y cómo apoya al crecimiento empresarial. También aprenderán có.
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IA generativa para ejecutivos (Español LATAM) | Generative AI for Executives (LATAM Spanish)

IA generativa para ejecutivos (Español LATAM) | Generative AI for Executives (LATAM Spanish) Este curso le brinda información general de alto nivel sobre la IA generativa. Los alumnos podrán descubrir qué es la IA generativa, cómo puede abordar las preocupaciones y los desafíos de los ejecutivos, y cómo respalda el crecimiento del negocio. Ademá.
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Creazione di una organizzazione pronta per l'AI generativa (Italiano) | Building a Generative AI-Ready Organization (Italian)

Creazione di una organizzazione pronta per l'AI generativa (Italiano) | Building a Generative AI-Ready Organization (Italian) Creazione di una organizzazione pronta per l'AI generativa è l'ultimo corso della serie in tre parti Elementi essenziali di AI generativa per i responsabili delle decisioni tecniche e aziendali. Ti consigliamo di iniziare d.
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Création d'une organisation prête pour l'IA générative (Français) | Building a Generative AI-Ready Organization (French)

Création d'une organisation prête pour l'IA générative (Français) | Building a Generative AI-Ready Organization (French) Création d'une organisation prête pour l'IA générative est le dernier cours d'une série de trois cours intitulée Notions essentielles de l'IA générative à l'intention des décideurs commerciaux et des décideurs techniques. Si vou.
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Introducción a la IA generativa - El arte de lo posible (Español LATAM) | Introduction to Generative AI - Art of the Possible (LATAM Spanish)

Introducción a la IA generativa - El arte de lo posible (Español LATAM) | Introduction to Generative AI - Art of the Possible (LATAM Spanish) El curso “Introducción a la IA generativa - El arte de lo posible” brinda una introducción a la IA generativa, casos prácticos, riesgos y beneficios. Con la ayuda de un ejemplo de generación de contenido, il.
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A generative ai course is a fast-growing field of machine learning that can create new content, translate languages, write different types of creative content, and answer your questions in an informative way. It has great potential to revolutionize the way we create and use products.

A generative ai course refers to any artificial intelligence model that generates new data, information, or documents.

For example, many companies record their meetings, both live and virtual. Here are a few ways generative AI could transform these recordings:

And this is only a small part of all processes.

Generative AI Model Examples

There are a number of products using generative ai courses already available on the market – we'll give you a few examples below. The underlying principle of the generative ai courses at AI Eeducation varies depending on the specific model or algorithm used, but some common approaches include:

  1. Variational Autoencoders (VAEs) are a type of generative model that learns to encode input data into a latent space and then decode it back into the original data. The "variational" part of the name refers to the probabilistic nature of the latent space, allowing the model to generate a variety of outputs.

  2. Generative Adversarial Networks (GaN): GaNs consist of two neural networks, a generator and a discriminator, that are trained simultaneously through adversarial learning. The generator creates new data, and the discriminator evaluates how well the generated data matches the real data. The competition between the two networks causes the generator to improve over time in producing realistic outputs.

  3. Recurrent Neural Networks (RNNS) and Long Short-Term Memory (LSTM): These types of neural networks are often used to generate sequences such as text or music. RNNS and LSTM have memory that allows them to process a series of events over time, making them suitable for tasks where the order of elements is important.

  4. Transformer models: Transformer models, especially those with attention mechanisms, are very successful in various generative tasks. They can remember long-term dependencies and relationships in data, making them effective for tasks such as language translation and text generation.

  5. Autoencoders: Autoencoders consist of an encoder and a decoder, and they are trained to reconstruct the input data. Although they are primarily used for learning to represent and compress data, variations such as denoising autoencoders (e.g. in images) can be used for generative tasks.

An ai generative course involves feeding a model a large data set and optimizing its parameters to minimize the difference between the generated output and the real information. A model's ability to produce realistic and rich content depends on the complexity of its architecture, the quality and quantity of training data, and the optimization techniques used during training!