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Generative AI courses

1093 Courses

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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Español LATAM)

Únete al curso de Desarrollo de Soluciones de Inteligencia Artificial Generativa y profundiza en el mundo de la inteligencia artificial utilizando las herramientas y plataformas de AWS. Este curso es ideal para aquellos interesados en inteligencia artificial, aprendizaje automático y técnicas avanzadas de IA. Después del 28 de marzo, los títulos.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (Español LATAM)

Responsible Artificial Intelligence Practices (Español LATAM) Después del 28 de marzo, los títulos de los cursos solo estarán disponibles en inglés. No obstante, las descripciones de los cursos seguirán estando disponibles en tu idioma preferido para facilitar su consulta. Este curso, ofrecido por AWS Skill Builder, se centra en las práctica.
provider AWS Skill Builder
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California Institute of Technology Udemy

Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025

provider Udemy
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California Institute of Technology FutureLearn

Artificial Intelligence for Healthcare

Join our comprehensive course on the transformative power of artificial intelligence in healthcare. Over eight weeks, learn how AI is reshaping healthcare into a data-driven industry. Discover advances in diagnostics, personalised medicine, and robotic surgery, focusing sharply on ethical considerations and modern challenges within healthcare..
provider FutureLearn
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California Institute of Technology FutureLearn

Artificial Intelligence for Everyone

Artificial Intelligence for Everyone - Universiti Malaya Embark on an enlightening journey with Universiti Malaya's eight-week course, designed to equip beginners with a robust understanding of artificial intelligence (AI). This comprehensive program will guide you through crucial concepts including machine learning, natural language processing (.
provider FutureLearn
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California Institute of Technology Coursera

Generative AI: Prompt Engineering Basics

Join the "Generative AI: Prompt Engineering Basics" course, designed to equip professionals with the essential skills needed to optimize AI-generated responses. This comprehensive curriculum delves into fundamental AI concepts, exploring the evolution of language models such as GPT, BERT, and T5. Gain hands-on experience with advanced techniqu.
provider Coursera
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California Institute of Technology Coursera

Generative AI: Empowering Modern Education

Delve into the capabilities of generative AI in modern education with our comprehensive course. Uncover ways to craft tailored learning materials that captivate and enhance educational experiences, ultimately improving student performance. Throughout the course, you'll examine diverse generative AI techniques, learning how to effectively i.
provider Coursera
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California Institute of Technology Coursera

Generative AI in Software Development

Course Description: Dive into the world of Generative AI in software development with this comprehensive course, designed to provide software engineers and AI enthusiasts with the necessary knowledge and practical skills. The course covers foundational AI concepts, essential models like GPT and Copilot, and offers hands-on experience through AP.
provider Coursera
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California Institute of Technology DataCamp

Introduction to ChatGPT

Unlock the full potential of ChatGPT with our comprehensive course, designed to improve your interaction through better prompts, accurate responses, and safe AI application. Whether you're new to ChatGPT or looking to sharpen your skills, this course offers everything you need to enhance your efficiency in AI conversations. ChatGPT is a remark.
provider DataCamp
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California Institute of Technology DataCamp

Understanding ChatGPT

Unlock the potential of OpenAI's ChatGPT by joining the "Understanding ChatGPT" course offered by DataCamp. This course provides a comprehensive introduction to ChatGPT, covering its capabilities, limitations, and effective use. Whether you're new to AI or looking to enhance your skills, this course will provide you with valuable insights. Th.
provider DataCamp

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!