Join

Generative AI courses

659 Courses

California Institute of Technology AWS Skill Builder

Generative AI for Executives (Korean)

Generative AI for Executives (Korean) 이 과정에서는 Generative AI에 대해 간략히 설명합니다. 학습자는 Generative AI가 무엇이고, 경영진의 우려 사항과 과제를 어떻게 해결할 수 있으며, 비즈니스 성장을 어떻게 지원하는지 살펴봅니다. 또한 Generative AI가 수많은 산업을 혁신하는 방식에 대해서도 알아봅니다. 과정 수준: 기초 소요 시간: 13분 참고: 이.
course image
California Institute of Technology AWS Skill Builder

Generative AI for Executives (Japanese)

Generative AI for Executives (Japanese) このコースでは、生成 AI の概要を説明します。受講者は、生成 AI とは何か、それがどのようにして経営者の懸念や課題に対応するのか、またどのようにしてビジネスの成長をサポートするのかを学びます。また、AI が数多くの業界に大変革をもたらす可能性をどれほど秘めているのかも学びます。 注: このコース内の動画では「生成 AI」.
course image
California Institute of Technology Trailhead

Explore Generative AI Tools

Explore Generative AI Tools Explore Generative AI Tools Embark on your generative AI journey and uncover the essential tools you need to succeed. Offered by Trailhead, this course is designed to introduce you to pivotal generative AI technologies and methodologies. Provider Trailhead Categories Generative AI Courses
course image
California Institute of Technology AWS Skill Builder

Operationalize Generative AI Applications (FMOps/LLMOps)

Operationalize Generative AI Applications (FMOps/LLMOps) - AWS Skill Builder Operationalize Generative AI Applications (FMOps/LLMOps) This course provides an overview of challenges in productionizing LLMs and a set of tools available to solve them. The course will provide an overview of the reference architecture for developing,.
course image
California Institute of Technology Pluralsight

How to Build Your Own App Using Amazon PartyRock

How to Build Your Own App Using Amazon PartyRock Description: Building an app with Amazon PartyRock AWS PartyRock allows you to easily leverage Amazon Bedrock and build personalized apps based on its generative AI services. In this tutorial, Principal Training Architect Andru Estes walks you through the process of building.
course image
California Institute of Technology Pluralsight

Generative AI for Image Creation

Generative AI for Image Creation In this course, Generative AI for Image Creation, you'll gain in-depth insights into generative AI technologies, mastering tools like Midjourney, DALL•E, and Adobe Firefly. By understanding their mechanics, you'll be equipped to generate captivating, high-quality images from simple text descriptions, enhance art.
course image
California Institute of Technology DataCamp

Learn ChatGPT

Learn ChatGPT Get ready to take your workflows and business processes to the next level with the groundbreaking conversational language model, ChatGPT! In this course, you'll dive headfirst into the exciting world of generative artificial intelligence (AI) and discover how to wield ChatGPT like a pro. From text summarization, ex.
course image
California Institute of Technology Coursera

Creating LLM powered NPCs

Creating LLM Powered NPCs Dive deep into the dynamic and increasingly intertwined realms of the Metaverse and Large Language Models (LLMs)! This course introduces "Inworld," a cutting-edge platform that facilitates the creation of responsive and expressive non-playable characters (NPCs). Through a unique use case and "Guide for the Creation of.
course image
California Institute of Technology Southern New Hampshire University

Generative AI for Kids, Parents, and Teachers

Generative AI for Kids, Parents, and Teachers My son is going to grow up in a completely different world filled with generative AI (e.g., ChatGPT, Claude, LLama, etc.). I believe this world offers possibilities for creativity and deep thought that will enrich how we think and solve problems. It's crucial for my son to be equipped for success in.
course image
California Institute of Technology Coursera

Generative AI for Executives

Generative AI for Executives This course delivers a comprehensive overview of generative AI, tailored for executives. Participants will delve into the fundamentals of generative AI, explore how it can meet business challenges, and learn about its role in driving business growth. Additionally, the course highlights the transformative poten.
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!