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Generative AI courses

1062 Courses

California Institute of Technology AWS Skill Builder

Fundamentos de machine learning e inteligência artificial (Português) | Fundamentals of Machine Learning and Artificial Intelligence (Portuguese)

Fundamentos de Machine Learning e Inteligência Artificial (Português) | Fundamentals of Machine Learning and Artificial Intelligence (Portuguese) Neste curso, você aprenderá sobre os fundamentos de machine learning (ML) e inteligência artificial (IA). Você explorará as conexões entre IA, ML, aprendizado profundo e o campo emergente da inteligência.
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California Institute of Technology Coursera

Introduction to AI and Machine Learning on GC - Português

Neste curso, apresentamos os recursos de IA e machine learning (ML) no Google Cloud que criam projetos de IA generativa e preditiva. Vamos conhecer as tecnologias, os produtos e as ferramentas disponíveis em todo o ciclo de vida de dados à IA, o que inclui os fundamentos dessa tecnologia, o desenvolvimento e as soluções dela. O objetivo é aj.
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California Institute of Technology Udemy

Generative AI for Beginners

Generative AI for Beginners Provider: Udemy Categories: Generative AI Courses, ChatGPT Courses, Prompt Engineering Courses, AI Ethics Courses Generative AI Made Easy: Embark on your journey with Generative AI. Learn the fundamentals of ChatGPT, Large Language Models (LLM), and prompt engineering. Gain hands-on experience by creating your own.
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California Institute of Technology Southern New Hampshire University

OpenAI GPTs: Creating Your Own Custom AI Assistants

OpenAI GPTs: Creating Your Own Custom AI Assistants In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific.
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California Institute of Technology Southern New Hampshire University

Generative AI for Legal Services Primer

Generative AI for Legal Services Primer Discover the transformative potential of Generative AI within the legal sector through this comprehensive course offered by Southern New Hampshire University on Coursera. Understand the fundamentals of Generative AI and its wide-ranging applications in legal tasks. The curriculum includes a deep dive into.
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California Institute of Technology Udemy

Azure Generative (OpenAI) + Predictive AI (23+ Hours)

Azure Generative (OpenAI) + Predictive AI: A Comprehensive 23+ Hour Course Dive into the innovative world of Azure OpenAI with Udemy's extensive course designed to equip you with crucial AI skills. Whether you're looking to learn about function calling, or exploring advanced topics like text embedding and Retrieval Augmented G.
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California Institute of Technology Udemy

Adobe Firefly Complete Guide: Learn to Use AI in Projects

Immerse yourself in the fascinating world of Adobe Firefly with our complete guide. This comprehensive online course on Udemy covers a wide range of features including Text to Image, Text Effects, Generative Recolor, Generative Fill, and Blend Images. Dive into the transformative power of artificial intelligence and apply these cutting-edge tool.
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California Institute of Technology Udemy

Midjourney, Dall-E, Stable Diffusion: AI Art Masterclass

Embark on an extraordinary journey into the realm of AI art with our comprehensive masterclass. Learn to harness the power of cutting-edge tools such as Midjourney, Dall-E, and Stable Diffusion to unleash your creative potential. This course is meticulously designed for artists, designers, and anyone eager to delve into the vibrant world of dig.
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California Institute of Technology Udemy

AI Software Testing with Google Gemini

AI Software Testing with Google Gemini | Udemy Course Discover the potential of AI in software testing with the comprehensive course, "AI Software Testing with Google Gemini," available on Udemy. This course provides practical, hands-on material focusing on integrating the power of Google Gemini into daily software testing practices. Designe.
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California Institute of Technology Udemy

Midjourney in 2 hours: Practical Guide for Beginners

Enter the vibrant world of digital art with our "Midjourney in 2 hours: Practical Guide for Beginners." This course, available on Udemy, is an ideal starting point for anyone looking to harness the power of artificial intelligence in art creation. In this course, you'll explore the capabilities of Midjourney, a groundbreaking tool th.
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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!