Sign in Sign up

Generative AI courses

1093 Courses

course image
California Institute of Technology Udemy

Generative AI for QA Professionals and Software Testers

Discover the power of Generative AI with our comprehensive course tailored for QA professionals and software testers. Offered by Udemy, this course provides hands-on experience in generating manual test cases and automating Selenium scripts seamlessly using cutting-edge AI technology right on your local system. Expand your expertise by divin.
provider Udemy
course image
California Institute of Technology Udemy

Brand Management with Generative AI

Step into the future of branding with Udemy’s course on "Brand Management with Generative AI." Learn how to harness Generative AI to craft a compelling brand identity, engage your audience more effectively, and strengthen your digital presence. Gain insights from the latest AI strategies and position your brand for success in the digital era..
provider Udemy
course image
California Institute of Technology Udemy

RAG, AI Agents and Generative AI with Python and OpenAI 2025

Enhance your skills by diving into the world of Generative AI and Retrieval-Augmented Generation (RAG) with Python in this Udemy course. Perfect for those aiming to master AI Agents, Agentic RAG, and the powerful functionalities of the OpenAI API, this course offers extensive insights into cutting-edge AI technologies. Categories covered incl.
provider Udemy
course image
California Institute of Technology Udemy

Using Generative AI in Software Automation Testing

Using Generative AI in Software Automation Testing Unlock the potential of Generative AI in elevating your software automation testing processes. This course offers an in-depth understanding of utilizing Gen AI for manual testing, implementing RAG frameworks, and working with advanced tools like Playwright AI and TestRigor. Learn how to inject.
provider Udemy
course image
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.
provider Udemy
course image
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.
provider Udemy
course image
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.
provider Udemy
course image
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.
provider Udemy
course image
California Institute of Technology Udemy

AI-900 Course Azure AI Fundamentals with Virtual Simulations

provider Udemy
course image
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.
provider Udemy

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!