Join

Generative AI courses

799 Courses

California Institute of Technology CourseHorse

Artificial Intelligence (AI) Business Essentials Certificate Program (Live Online)

Discover the significant influence of Artificial Intelligence (AI) on business and how it parallels historic innovations such as electricity. This live online program will deepen your understanding of AI technology, its current applications in your business, and the vast opportunities it brings for professional and societal impact. Upon completi.
course image
California Institute of Technology Coursera

Introduction to Generative AI in Healthcare

course image
California Institute of Technology CourseHorse

Intro to Generative AI with ChatGPT (Live Online)

Embark on a creative journey in the realm of AI with our Intro to Generative AI with ChatGPT, a live online workshop designed for innovators and tech enthusiasts. Dive into the transformative world of artificial intelligence and discover how to utilize ChatGPT for text generation, ideation, and more. This immersive class grants you a deep unders.
course image
California Institute of Technology CourseHorse

Intro to Generative AI with ChatGPT (Live Online)

Learn more about Intro to Generative AI with ChatGPT at NYC Career Centers. University: NYC Career Centers Provider: CourseHorse Categories: Artificial Intelligence Courses, Generative AI Courses, ChatGPT Courses, Prompt Engineering Courses, Language Models Courses
course image
California Institute of Technology Johns Hopkins University

AI Strategy and Project Management

AI Strategy and Project Management - Johns Hopkins University The "AI Strategy and Project Management" specialization is tailored for leaders responsible for leading AI initiatives within their organizations. As AI technologies, including machine learning, deep learning, symbolic AI, and generative AI, continue to redefine the industrial and gov.
course image
California Institute of Technology CourseHorse

Winning with Artificial Intelligence (AI): An Immersive Experience (Live Online)

Winning with Artificial Intelligence (AI): An Immersive Experience (Live Online) Event Overview: Dive into a dynamic, real-world business challenge illustrating the effective use and leverage of AI tools. Discover how AI can be seamlessly integrated into your organization and experience its potential in a live, online setting. Who Should Attend.
course image
California Institute of Technology Coursera

GenAI for Telemedicine Data Security

Unlock the potential of Generative AI in safeguarding telemedicine data with the course "Generative AI for Telemedicine Data Security." Delve into the world of AI-driven solutions to ensure patient information remains secure in the digital landscape. This course is tailored for forward-thinking healthcare professionals, telemedicine provide.
course image
California Institute of Technology Udemy

Generative AI for .NET Developers with Azure AI Services

Unleash the potential of modern technology by learning to create intelligent .NET applications using the formidable capabilities of generative AI. This Udemy course, "Generative AI for .NET Developers with Azure AI Services," offers an in-depth exploration into integrating AI modules into your projects. Dive into machine learning, neural netw.
course image
California Institute of Technology Udemy

Generative AI for Modern Leaders: Strategies for Success

Embark on a journey to revolutionize your leadership approach with our comprehensive course, "Generative AI for Modern Leaders: Strategies for Success." Designed for today's forward-thinking leaders, this course provides essential insights into leveraging generative AI to drive innovation and success. As the digital landscape evolves, unders.
course image
California Institute of Technology Johns Hopkins University

Generative AI

Delve into the intricacies of Generative AI through this advanced course focusing on theoretical foundations and practical applications. This program, provided by Johns Hopkins University via Coursera, covers essential topics such as transformers, large language models, and symbolic AI, equipping learners with the knowledge to integrate these.
course image

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!