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Generative AI courses

1014 Courses

California Institute of Technology Udemy

Generative AI for creatives with Adobe Firefly

Unlock your creative potential with our intensive online course, 'Generative AI for Creatives with Adobe Firefly', exclusively on Udemy. In just one hour, you'll master the powerful capabilities of Adobe Firefly, the ChatGPT of image generation, and learn to innovate like never before. This course is perfect for digital artists, graphic desig.
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California Institute of Technology Udemy

Introduction to Data Engineering using Generative AI

Unlock the Potential of Data Engineering with Generative AI: Dive into the transformative world of data engineering with our beginner-friendly course on Udemy. "Introduction to Data Engineering using Generative AI" offers a hands-on approach to mastering the use of Generative AI and Large Language Models (LLMs) for effect.
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California Institute of Technology Udemy

Learn Generative AI in Software Testing

Join our comprehensive course on Udemy to dive into the world of Generative AI for software testing. Enhance your skills in prompt engineering to generate essential test artifacts and automation codes. Witness first-hand demonstrations of AI-powered testing tools designed to revolutionize your testing workflow. This course is perfect for those.
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California Institute of Technology Udemy

Advanced Stable Diffusion with ComfyUI and SDXL

Unlock the future of design with our Advanced Stable Diffusion course, featuring cutting-edge tools like ComfyUI, SDXL, and Stable Diffusion 1.5. Dive into the world of generative AI and enhance your creative projects with advanced AI-powered techniques. This Udemy course is perfect for aspiring designers and technologists looking to stay ah.
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California Institute of Technology Udemy

AI-900 Course Azure AI Fundamentals with Virtual Simulations

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California Institute of Technology Udemy

LLMOps Masterclass 2024 - Generative AI - MLOps - AIOps

Join the LLMOps Masterclass 2024 to explore the innovative world of Generative AI, MLOps, and AIOps. This comprehensive course offers deep insights into deploying advanced models from Open AI and Hugging Face directly into production environments. Presented by Udemy, this masterclass is perfect for anyone seeking to enhance their skills in th.
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California Institute of Technology Udemy

Amazon Bedrock Masterclass: The Ultimate Generative AI Guide

Unlock the secrets of Generative Artificial Intelligence with the newly updated Amazon Bedrock Masterclass. Dive into the comprehensive guide that now includes the advanced Claude 3.5 Sonnet v2. Whether you're starting from the basics or looking to refine your skills, this course provides a robust learning experience on AWS. Offered by Udemy,.
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California Institute of Technology Udemy

Intro to AI: A Beginner's Guide to Artificial Intelligence

Welcome to 'Intro to AI: A Beginner's Guide to Artificial Intelligence', a comprehensive course aimed at demystifying the world of AI. This course, available on Udemy, provides learners with foundational knowledge of Artificial Intelligence and insights on how to utilize this powerful technology effectively in business and career contexts. Thi.
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California Institute of Technology Udemy

Artificial Intelligence: Navigating Regulations & Standards

Visit Udemy Embark on a journey through the landscape of artificial intelligence with our course, "Artificial Intelligence: Navigating Regulations & Standards." Dive deep into understanding AI risks and learn about responsible use through a comprehensive overview of essential regulations and standards. Artificial Intelligence Courses Machin.
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California Institute of Technology Udemy

Artificial Intelligence Intermediate: Exploring AI Types

Join our intermediate course to explore the vast world of Artificial Intelligence and its varied applications. Delve into the nuances of process automation and discover the innovations in Generative AI. This course offers insights into multiple AI types, enhancing your understanding and skills in this dynamic field. Provider: Udemy Cat.
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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!