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Generative AI courses

659 Courses

California Institute of Technology Coursera

Introduction to Large Language Models - Español

Este es un curso introductorio de microaprendizaje en el que se explora qué son los modelos de lenguaje extensos (LLM), sus casos de uso y cómo se puede utilizar el ajuste de los mensajes para mejorar el rendimiento de los LLM. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa. Univ.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand
California Institute of Technology Coursera

Copy.AI for Beginners: Generate texts for various use cases

Copy.AI for Beginners: Generate Texts for Various Use Cases In this 1-hour long project-based course, you will practice generative text creation using CopyAI. We will cover this by exploring CopyAI's various features, creating customized prompts for different use cases, integrating content through Info Base, analyzing brand voice, and constructi.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Generative AI with Vertex AI: Build a customer chatbot

Generative AI with Vertex AI: Build a Customer Chatbot In this 1-hour project-based course, you will discover how to use Vertex AI to summarize and classify text, and create a chatbot for a financial institution. This involves analyzing customer support calls and developing a customer support chatbot. You'll gain hands-on experience with the Ver.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Gen AI for developers: Web development with Python & Copilot

Gen AI for Developers: Web Development with Python & Copilot This Guided Project, "Gen AI for Developers: Web Development with Python & CoPilot", is tailored for developers aiming to incorporate Copilot into their daily workflow. In this 1-hour, project-based course, you will learn to set up Copilot in VS Code, utilize it for learning new APIs,.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Responsible AI: Applying AI Principles with GC - Español

Responsible AI: Applying AI Principles with GC - Español A medida que aumenta el uso empresarial de la inteligencia artificial y el aprendizaje automático, también crece la importancia de implementarlo responsablemente. El desafío para muchas personas es que hablar sobre la IA responsable puede ser más fácil que aplicarla. Si te interesa apren.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Planificación de un proyecto de IA Generativa (Español LATAM) | Planning a Generative AI Project (LATAM Spanish)

Planificación de un proyecto de IA Generativa es el segundo curso de una serie de tres partes llamada Fundamentos de la IA generativa para los responsables de decisiones técnicas y comerciales. Si aún no lo completó, comience con el primer curso de la serie, Introducción a la IA generativa - El Arte de lo posible. En este curso, aprenderá sobre.
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provider AWS Skill Builder
pricing Free Certificate
duration 1 hour
sessions On-Demand
California Institute of Technology Coursera

Gen AI for Software Development: Code Generation for Python

Gen AI for Software Development: Code Generation for Python Think coding is out of reach? With some help from generative AI, we can now easily break down problems and develop software to solve them. In this 1.5 hour guided project, we will break down the game logic for the game Hangman and then let generative AI help us produce.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Building a Generative AI-Ready Organization

Building a Generative AI-Ready Organization Course | Coursera Building a Generative AI-Ready Organization The Building a Generative AI-Ready Organization course offers essential components required for the successful adoption of Generative AI within your organization. Tailored specifically for business leaders and key decision-makers.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Amazon CodeWhisperer - Getting Started with Generative AI

Amazon CodeWhisperer - Getting Started with Generative AI Amazon CodeWhisperer is an artificial intelligence (AI) coding companion that can generate code suggestions in real time based on your comments and existing code. CodeWhisperer, which works in a variety of Integrated Development Environments (IDE), helps you reduce the time it takes to co.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology

Amazon Bedrock - Getting Started with Generative AI

Amazon Bedrock - Getting Started with Generative AI Amazon Bedrock is a fully managed service that provides access to foundation models (FMs) from Amazon and top AI startups via an API. In this comprehensive course, you will discover the numerous benefits of Amazon Bedrock and learn how to get started with the service through a step-by-step demo.
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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!