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Generative AI courses

1093 Courses

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California Institute of Technology Google Cloud Skills Boost

Introduction to Generative AI Studio

Join the Introduction to Generative AI Studio course brought to you by Google Cloud Skills Boost, designed for learners eager to master the intricacies of Generative AI. This course unpacks the fundamentals of Generative AI Studio, a premier tool within Vertex AI, crafted to empower users to prototype and tailor generative AI models for integration.
provider Google Cloud Skills Boost
sessions On-Demand
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California Institute of Technology Pluralsight

ChatGPT and Generative AI: The Big Picture

Discover the revolution of ChatGPT and Generative AI and grasp their fundamentals with "ChatGPT and Generative AI: The Big Picture." This course, offered by Pluralsight, delves into the fascinating world of generative artificial intelligence, providing learners with an essential understanding of how technologies like ChatGPT work to mimic human-lik.
provider Pluralsight
sessions On-Demand
California Institute of Technology Independent

Building Generative AI Applications with Gradio

Embark on a journey to craft interactive AI applications with our latest offering: "Building Generative AI Applications with Gradio." This course, led by the renowned Machine Learning Art Engineer from Hugging Face, Apolinário Passos, is your gateway to mastering generative AI with Gradio. In this course, you will: Quickly create user-friendly app.
provider Independent
sessions On-Demand
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California Institute of Technology Coursera

How Diffusion Models Work

Embark on a transformative journey into the world of generative AI with the "How Diffusion Models Work" course, offered on Coursera. Guided by the expertise of Sharon Zhou, this one-hour intensive course demystifies the advanced techniques behind diffusion models, empowering you to not only understand but also to build your own models from the grou.
provider Coursera
sessions On-Demand
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California Institute of Technology Codecademy

Prompt Engineering for Marketing

Discover the power of AI in marketing with our comprehensive course on Prompt Engineering for Marketing, offered by Codecademy. This specialized program is designed to equip marketing professionals and product marketers with the skills to employ ChatGPT for innovative marketing strategies. Through hands-on training, you'll master prompt engineering.
provider Codecademy
sessions On-Demand
California Institute of Technology Independent

Evaluating and Debugging Generative AI

Delve into the complexities of managing machine learning and AI projects with our specialized course on Evaluating and Debugging Generative AI. Tackling diverse data sources, vast volumes of data, intricate models, and expansive testing and evaluation, this course is your gateway to mastering the art of Machine Learning Operations. Learn to navigat.
provider Independent
sessions On-Demand
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California Institute of Technology Udemy

Master Generative AI: Automate Content Effortlessly with AI

Unlock the power of Generative AI and transform your content creation process with our comprehensive course on Udemy. Learn to automate text, image, audio, and video generation using cutting-edge tools like ChatGPT, Stable Diffusion XL, DALLE-3, Midjourney, GPT-4, and Perplexity. Whether you're interested in Generative AI, ChatGPT, Prompt Engineeri.
provider Udemy
sessions On-Demand
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California Institute of Technology AWS Skill Builder

Generative AI for Executives

Title: Generative AI for Executives Description: This executive-level course offers a comprehensive introduction to Generative AI, tailored specifically for leaders and decision-makers. Available in multiple languages including Español (Latinoamérica), Español (España), Français, Bahasa Indonesia, ไทย, Italiano, 日本語, 한국어, Português (Brasil),.
provider AWS Skill Builder
sessions On-Demand
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California Institute of Technology Coursera

Data Balancing with Gen AI: Credit Card Fraud Detection

Discover the power of Generative AI in combating credit card fraud with our 2-hour guided project titled "Data Balancing with Gen AI: Credit Card Fraud Detection". Offered by Coursera, this project is in collaboration with SecureTrust Financial Services, aiming to showcase how Generative Adversarial Networks (GANs) can be used to generate synthetic.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Promptly for Beginners: Build a Generative AI App

Jumpstart your journey into AI app development with our beginner-friendly, 1-hour project-based course. Learn to harness the power of the innovative Promptly platform to create generative AI apps without any prior knowledge of AI or coding. This course is a perfect gateway for those new to artificial intelligence, offering a practical introduction.
provider Coursera
sessions On-Demand

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!