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Generative AI courses

608 Courses

California Institute of Technology Coursera

Gemini in Google Drive - Português Brasileiro

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California Institute of Technology FutureLearn

Getting Started with Generative AI

Getting Started with Generative AI Artificial intelligence is the talk of the town. As AI adoption becomes more and more commonplace, big companies are now relying on generative AI tools – and the people who know how to use them – to turn bigger profits. Stay ahead of the curve and stand out as a tech-savvy professional by joining this online co.
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California Institute of Technology Pluralsight

Create Google Cloud Deployment Manager Templates Using Generative AI

Create Google Cloud Deployment Manager Templates Using Generative AI This course will teach you how artificial intelligence (AI) can help you administer and deploy cloud resources faster and more accurately than ever before. In today's world, AI is ubiquitous, enhancing efficiency and acting as a valuable assistant. Cloud professionals can lever.
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California Institute of Technology AWS Skill Builder

Essentials of Prompt Engineering (Traditional Chinese)

Essentials of Prompt Engineering (Traditional Chinese) 本課程將向您介紹撰寫有效提示詞的基礎知識。透過一系列使用案例，您會瞭解如何完善並最佳化提示詞。您還會探索零樣本、少量樣本和思維鏈提示等技巧。最後，您會學到識別提示詞工程的相關潛在風險。 課程等級：基礎 持續時間：60 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.
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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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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!