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Generative AI courses

1093 Courses

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California Institute of Technology Udemy

AWS Certified AI Practitioner - AIF-C01

Prepare yourself to excel in the AWS Certified AI Practitioner certification exam through our specialized course. Designed for both beginners and professionals, this program provides you with all the necessary skills to master AI concepts and practical applications on AWS. This course covers a wide range of categories, including: Artifici.
provider Udemy
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California Institute of Technology Udemy

Master Generative AI with Java and Spring Boot | Spring AI

Explore the dynamic world of Artificial Intelligence with our course, "Master Generative AI with Java and Spring Boot | Spring AI." Offered by Udemy, this course empowers you to use JAVA and Spring to build AI-driven applications. Delve into the lifecycle of generative AI and enhance your skills in cutting-edge technologies.
provider Udemy
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California Institute of Technology Udemy

Master Generative AI for RPA from basics to Advanced

Join our course on Mastering Generative AI for RPA and transition from basics to advanced levels in efficient automation and optimization. Discover the power of Generative AI in enhancing workflows and driving automation in organizational settings. Perfect for those seeking proficiency in Robotic Process Automation, this course covers all ne.
provider Udemy
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California Institute of Technology Udemy

Chatbot Creation with Generative AI: A Practical Guide

Unlock the potential of artificial intelligence with Udemy's 'Chatbot Creation with Generative AI: A Practical Guide'. Dive into the world of chatbot development, ranging from fundamental concepts to advanced strategies using state-of-the-art Generative AI tools. Perfect for those interested in AI, generative AI, chatbot construction, and no-c.
provider Udemy
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California Institute of Technology AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Português)

Descubra os principais conceitos de Machine Learning e Inteligência Artificial com este curso oferecido pelo AWS Skill Builder. Mesmo que os títulos dos cursos sejam apresentados em inglês a partir de 28 de março, você ainda pode acessar as descrições em português, facilitando a busca por informações no seu idioma preferido. Navegue por várias.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (Português)

provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Español LATAM)

Descubre los Fundamentos de Aprendizaje Automático e Inteligencia Artificial con este curso impartido en español para la comunidad LATAM. Aunque los títulos de los cursos cambiarán exclusivamente al inglés después del 28 de marzo, las descripciones detalladas seguirán estando disponibles en tu idioma preferido, permitiéndote consultarlas sin in.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Português)

Participe do curso "Explorando Casos de Uso e Aplicações de Inteligência Artificial" em Português, fornecido pela AWS Skill Builder. Este curso oferece uma visão abrangente das aplicações de inteligência artificial e aprendizado de máquina, incluindo aprendizado por reforço e aprendizado supervisionado e não supervisionado. Descubra como a IA.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Español LATAM)

Sumérjase en el mundo de la inteligencia artificial con este curso ofrecido por AWS Skill Builder. Diseñado para aquellos que deseen entender mejor los casos de uso y las aplicaciones de AI, el curso cubre temas esenciales en inteligencia artificial y aprendizaje automático. Las categorías exploradas en este curso incluyen: Inteligencia Art.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Português)

provider AWS Skill Builder

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!