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Generative AI courses

664 Courses

California Institute of Technology AWS Skill Builder

Conceitos básicos da solução Amazon Q Business (Português) | Amazon Q Business Getting Started (Portuguese)

Conceitos básicos da solução Amazon Q Business (Português) | Amazon Q Business Getting Started (Portuguese) A solução Amazon Q Business é um assistente com inteligência artificial generativa (IA generativa) que pode responder a perguntas, gerar conteúdo, criar resumos e concluir tarefas, tudo com base nas informações da sua empresa. Neste curso.
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California Institute of Technology AWS Skill Builder

Introdução ao Amazon Q (Português) | Amazon Q Introduction (Portuguese)

Introdução ao Amazon Q (Português) | Amazon Q Introduction (Portuguese) Este curso oferece uma visão geral de alto nível do Amazon Q, um assistente com tecnologia de inteligência artificial (IA) generativa. Aqui, você aprenderá sobre os casos de uso e os benefícios de vincular o Amazon Q às informações, códigos e sistemas da sua emp.
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California Institute of Technology AWS Skill Builder

Introducción a Amazon Q Developer (Español LATAM) | Amazon Q Developer Getting Started (LATAM Spanish)

Amazon Q Developer es un asistente con tecnología de inteligencia artificial (IA) generativa que ayuda a comprender, crear, ampliar y operar las aplicaciones de AWS durante todo el ciclo de vida del desarrollo de software. En este curso introductorio, conocerá los beneficios, las características, los casos prácticos típicos, los conceptos técni.
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California Institute of Technology AWS Skill Builder

Conceitos básicos do Amazon Q Developer (Português) | Amazon Q Developer Getting Started (Portuguese)

Conceitos básicos do Amazon Q Developer (Português) | Amazon Q Developer Getting Started (Portuguese) O Amazon Q Developer é um assistente baseado em inteligência artificial (IA) generativa que ajuda você a entender, criar, estender e operar aplicações da AWS em todo o ciclo de vida do desenvolvimento de software. Neste curso introdutório, você ap.
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California Institute of Technology AWS Skill Builder

Introducción a Amazon Q (Español LATAM) | Amazon Q Introduction (LATAM Spanish)

En este curso, se ofrece información general de alto nivel de Amazon Q, un asistente impulsado por inteligencia artificial (IA) generativa. Obtendrá información sobre los casos prácticos y los beneficios de vincular Amazon Q con la información, el código y los sistemas de su empresa. También encontrará información adicional para avanzar en su v.
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California Institute of Technology Pluralsight

Risk Management in Generative AI Implementation

Risk Management in Generative AI Implementation Generative AI is a powerful new technology and, if implemented properly, can revolutionize many aspects of a business. This course will teach you how to manage the risks associated with incorporating Generative AI. Every business considering incorporating Generative AI must take into consider.
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California Institute of Technology Pluralsight

How Generative AI Can Help You Keep Up with Updates to Cloud Solutions

How Generative AI Can Help You Keep Up with Updates to Cloud Solutions Keeping up with cloud security and constant changes to platform services, and pricing is hard. This course will teach you how to generate regular and reliable guidance that's tailor-made specifically for your tech stack. Cloud deployments can eas.
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California Institute of Technology Pluralsight

Image Generation with Midjourney

Title: Image Generation with Midjourney Description: Image-based generative AI allows the creation of stunning and useful images via prompts. This course will teach you how to generate high-quality images using the power of Generative AI, specifically with Midjourney. In this course, "Image Generation with Midjourney," you’ll learn how to har.
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California Institute of Technology Pluralsight

Real-world Generative AI: Practical and Pragmatic Applications (Webinar)

Join Pluralsight Creative Director and Author Simon Allardice for an on-demand AI Author Talk, where he'll share real-world examples that show the practical, pragmatic side of this cutting-edge technology. This won't be a "Have you heard about ChatGPT?" kind of talk. We assume you've already tried services like ChatGPT, Claude, or Gemini. Here.
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California Institute of Technology Pluralsight

Gemini in Google Drive

Gemini in Google Drive | Pluralsight Course Title: Gemini in Google Drive Description: Gemini for Google Workspace is an add-on that endows users with generative AI capabilities. This course offers in-depth video lessons, hands-on activities, and practical examples to thoroughly explore Gemini's features in Google Drive. By.
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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!