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Generative AI courses

1093 Courses

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California Institute of Technology Udemy

Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025

Master AI with an Expert: Automate Workflows, Build 12 Real-World Projects, & Unlock AI Agents, ChatGPT & CoPilot!
provider Udemy
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Português)

Depois de 28 de março, os títulos dos cursos estarão somente em inglês. No entanto, as descrições dos cursos permanecerão disponíveis no idioma de sua preferência para permitir que você pesquise nesse idioma.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Español LATAM)

Después del 28 de marzo, los títulos de los cursos solo estarán disponibles en inglés. Sin embargo, las descripciones de los cursos permanecerán disponibles en su idioma preferido para que pueda consultarlas.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Español LATAM)

Después del 28 de marzo, los títulos de los cursos solo estarán disponibles en inglés. Sin embargo, las descripciones de los cursos permanecerán disponibles en su idioma preferido para que pueda consultarlas.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (Español LATAM)

Después del 28 de marzo, los títulos de los cursos solo estarán disponibles en inglés. Sin embargo, las descripciones de los cursos permanecerán disponibles en su idioma preferido para que pueda consultarlas.
provider AWS Skill Builder
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California Institute of Technology FutureLearn

Artificial Intelligence for Everyone

Discover essential AI techniques with Universiti Malaya On this eight-week course from Universiti Malaya, you’ll gain a solid understanding of artificial intelligence. Tailored specifically for beginners, you’ll be guided through essential AI concepts such as machine learning, natural language processing, and computer vision. By the end, you’ll ha.
provider FutureLearn
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California Institute of Technology Coursera

Generative AI: Prompt Engineering Basics

This course provides a comprehensive introduction to Generative AI and Prompt Engineering, equipping learners with the skills to craft effective prompts that enhance AI-generated responses. Designed for professionals seeking to optimize AI interactions, the course covers fundamental AI concepts, the evolution of language models like GPT, BERT, and.
provider Coursera
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California Institute of Technology Coursera

Generative AI: Empowering Modern Education

Discover how generative AI can help you create engaging, personalized learning content and improve your productivity so you can enhance student outcomes. During this course, you’ll explore gen AI methodologies and best practices for implementing AI in education. You’ll look at how it can be used to create content, enhance personalized learning, spe.
provider Coursera
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Português)

Depois de 28 de março, os títulos dos cursos estarão somente em inglês. No entanto, as descrições dos cursos permanecerão disponíveis no idioma de sua preferência para permitir que você pesquise nesse idioma.
provider AWS Skill Builder
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California Institute of Technology FutureLearn

Artificial Intelligence for Healthcare

Delve into the transformative power of AI in the healthcare industry On this eight-week course, you’ll explore how AI is being used to turn the healthcare industry into a highly data-driven field. You’ll discover how different technologies are revolutionising areas in healthcare such as diagnostics, personalised medicine, and robotic surgery. With.
provider FutureLearn

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!