Join

Generative AI courses

1013 Courses

California Institute of Technology Udemy

Generative AI Guide: DALL-E, ChatGPT, and Creativity With AI

Unlock the potential of AI-driven creativity with our comprehensive guide on Generative AI. Delve into techniques, applications, and tools designed to enhance your content creation strategies. This course provides insights into leading AI technologies like DALL-E and ChatGPT, empowering you to create and innovate with confidence. Whether you'.
course image
California Institute of Technology Udemy

Generative AI: Master tools like ChatGPT, Midjourney & more

Generative AI: Master Tools Like ChatGPT, Midjourney & More - Course by Udemy Unlock new levels of creativity and productivity with our comprehensive Generative AI course. Hosted by Udemy, this course is designed to help you master cutting-edge AI tools such as ChatGPT, Midjourney, and DALL-E. Whether you're interested in AI-driven art, enhanced.
course image
California Institute of Technology Udemy

Generative AI for Leaders: Meet Your Business Partner

Enroll in Generative AI for Leaders Course Discover the potential of Artificial Intelligence (AI) and Generative AI (GenAI) as pivotal tools in leadership and management. This course provides valuable insights into enhancing your business strategy, leveraging AI technology for improved decision-making and efficiency. With a focus on integratin.
course image
California Institute of Technology Udemy

Generative AI for DevOps Engineers

Join the comprehensive course on Generative AI, specifically designed for DevOps and DevSecOps Engineers. Enhance your skills by exploring the basics of Generative AI and master the implementation of AI models both online and on your local machine. Offered by Udemy, this course falls under several key categories, including Artificial Intellig.
course image
California Institute of Technology Udemy

Master Generative AI For Leaders And Business Professionals

Discover how to leverage Generative AI to streamline your organization's operations and drive increased productivity. This course is perfect for leaders and business professionals aiming to harness the power of advanced artificial intelligence technologies. Offered by Udemy, engage in detailed modules on AI, machine learning, and business stra.
course image
California Institute of Technology Udemy

Ethics & Generative AI (GenAI)

Ethics & Generative AI - Navigating the Ethical AI Landscape Join our comprehensive course on Generative AI ethics, titled "GenAI: Friend or Foe?" This professional program, offered by Udemy, provides a thorough exploration into the ethical challenges and opportunities presented by Generative AI. Dive deep into the ethical discourse surroundin.
course image
California Institute of Technology Udemy

Introduction to ChatGPT: A Beginner Course on ChatGPT and AI

Embark on a journey to understand ChatGPT and the immense capabilities of Artificial Intelligence with our comprehensive beginner course. Offered by Udemy, this course is designed to teach you the fundamentals of ChatGPT, a cutting-edge chatbot technology developed by OpenAI. Whether you're a professional looking to integrate AI into your wo.
course image
California Institute of Technology Udemy

Azure AI-050: Generative AI Solutions with Azure OpenAI

Join the Azure AI-050 course to swiftly learn to build Generative AI solutions with the Azure OpenAI Service. This engaging course by Udemy combines the power of Azure and Artificial Intelligence, offering a comprehensive understanding of integrating Generative AI technologies through a series of meticulously designed modules. Designed for t.
course image
California Institute of Technology Udemy

Generative AI for Professionals and Leaders

Advance your professional journey with the course "Generative AI for Professionals and Leaders" offered by Udemy. This comprehensive learning experience is designed to help you excel in your career by effectively leveraging Generative AI. Dive into essential areas such as Learning, Implementation, Change Management, and the establishment of a G.
course image
California Institute of Technology Udemy

OCI AI Foundations Associate 1Z0-1122-24 Exam Preparation

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!