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Generative AI courses

1062 Courses

California Institute of Technology LinkedIn Learning

Introduction to Artificial Intelligence

Explore the fascinating world of artificial intelligence with our comprehensive course, Introduction to Artificial Intelligence, provided by LinkedIn Learning. This course offers a thorough overview of the latest tools and techniques in both predictive and generative AI, empowering you with knowledge of cutting-edge technologies. With a focus.
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California Institute of Technology Independent

A Human Rights Based Approach to AI

A Human Rights Based Approach to AI Discover the intricate balance between the potential and pitfalls of Artificial Intelligence (AI) in our comprehensive MOOC, designed to explore its impact on human rights. Through numerous case studies, this course provides crucial insights into using a Human Rights-Based Approach (HRBA) to address the comple.
California Institute of Technology LinkedIn Learning

Inteligencia artificial para gerentes por Microsoft y LinkedIn

En este itinerario de aprendizaje ofrecido por Microsoft y LinkedIn, los directivos en todos los niveles de la organización podrán explorar formas prácticas de potenciar su eficacia mediante el uso de la inteligencia artificial generativa. Aprenderán desde cómo llevar a cabo reuniones de equipo e individuales más eficaces hasta cómo proporci.
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California Institute of Technology LinkedIn Learning

Inteligencia artificial para líderes empresariales por Microsoft y LinkedIn

Inteligencia Artificial para Líderes Empresariales por Microsoft y LinkedIn En esta ruta de aprendizaje, ofrecida por LinkedIn Learning, adquirirás el conocimiento para tomar decisiones bien informadas sobre la adopción y aplicación de la inteligencia artificial como líder empresarial. Evaluarás cómo la IA generativa afecta a los negocios y apre.
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California Institute of Technology LinkedIn Learning

Microsoft Azure AI Essentials Professional Certificate by Microsoft and LinkedIn

Embark on a transformative learning journey with the Microsoft Azure AI Essentials Professional Certificate offered by Microsoft and LinkedIn. This course is designed for tech professionals and business leaders eager to delve into machine learning and AI fundamentals, along with Microsoft Azure's related services. Throughout the course, you.
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California Institute of Technology LinkedIn Learning

Ética en la era de la inteligencia artificial generativa

En la era de la inteligencia artificial generativa, las consideraciones éticas no son solo una opción, sino una necesidad en cada paso de su desarrollo y aplicación. Este curso le ofrece una profunda comprensión de por qué la ética es fundamental para la IA generativa, ayudándole a identificar y abordar los desafíos éticos inherentes. Ofrec.
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California Institute of Technology LinkedIn Learning

Introduction to Prompt Engineering for Generative AI

Embark on a transformative journey into the world of generative AI with our specialized course on prompt engineering. Tailored for both novices and professionals in AI, this course offers valuable insights into crafting high-impact prompts that maximize the capabilities of leading AI tools, including Copilot, ChatGPT, Gemini, and Claude. P.
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California Institute of Technology Udemy

NotebookLM : Generative AI Interacting with Your Own Data

Explore the cutting-edge capabilities of NotebookLM, a groundbreaking platform that allows you to interact with your own data through generative AI technology. Brought to you by the renowned Google Gemini team, NotebookLM serves as a dynamic playground for those interested in diving deep into data analysis and machine learning. Offered throug.
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California Institute of Technology Udemy

Generative AI and Artificial Intelligence (AI) for Leaders

Visit Udemy Join a comprehensive course on the impact of Generative AI and Artificial Intelligence designed specifically for leaders. Perfect for professionals aiming to understand the intersection of AI with business strategy, this Udemy course covers: Practical implications of AI and Generative AI in management Business and strategic con.
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California Institute of Technology Udemy

Artificial Intelligence Video Generation

Artificial Intelligence Video Generation | Udemy Course Unlock the incredible possibilities of Generative Artificial Intelligence with our comprehensive course on Artificial Intelligence Video Generation. Dive into an innovative learning experience that enables you to create breathtaking videos tailored in diverse styles and formats. O.
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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!