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Generative AI courses

659 Courses

California Institute of Technology Udemy

ChatGPT, Midjourney, DALL-E 3 & APIs - The Complete Guide

ChatGPT, Midjourney, DALL-E 3 & APIs - The Complete Guide Boost your productivity by mastering ChatGPT, OpenAI APIs, Midjourney, prompt engineering, AutoGPT, and more with this comprehensive guide from Udemy. Categories: Generative AI Courses, ChatGPT Courses, Midjourney Courses, DALL-E Courses
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provider Udemy
pricing Paid Course
duration 15 hours 47 minutes
sessions On-Demand
California Institute of Technology Coursera

Coding with Generative AI

Coding with Generative AI Coding with Generative AI This microlearning course (approximately 3 hours) provides an introductory exploration of the fundamental concepts of Generative AI with a specific focus on its application for coders. You will gain an understanding of the underlying principles of generative AI and learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
sessions On-Demand
California Institute of Technology

Github CoPilot for Beginners: Write Software With AI

Github CoPilot for Beginners: Write Software With AI Can the latest AI tools supercharge your web development process? Discover the future of coding with GitHub Copilot, an AI-powered coding assistant. This Guided Project is tailored for budding web developers aiming to utilize cutting edge AI tools to build websites faster. In.
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California Institute of Technology Coursera

Jasper AI: Writing a Product Review Blog Post

Jasper AI: Writing a Product Review Blog Post - Coursera Enhance your digital content creation skills with this focused two-hour project-based course, where you'll use Jasper AI to create a professional-grade product review blog post for a pair of wireless noise cancelling earbuds. We'll begin by researching some technical specifications abou.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Introduction to Generative AI Studio - Français

Introduction to Generative AI Studio - Français Ce cours présente Generative AI Studio. Ce produit disponible sur Vertex AI vous aide à prototyper et à personnaliser des modèles d'IA générative afin de pouvoir exploiter leurs capacités dans vos applications. Vous allez découvrir ce qu'est Generative AI Studio, quelles sont ses fonct.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand
California Institute of Technology

Introduction to Generative AI Studio - Português Brasileiro

Introdução ao Generative AI Studio - Português Brasileiro Neste curso, apresentamos o Generative AI Studio, um produto da Vertex AI que ajuda na prototipagem e personalização de modelos de IA generativa para usar os recursos deles nos seus aplicativos. Você vai aprender o que é o Generative AI Studio, conhecer as funcionalidades e opções disponí.
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California Institute of Technology Coursera

Introduction to Generative AI - Bahasa Indonesia

Introduction to Generative AI - Bahasa Indonesia | Coursera Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda s.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Introduction to Generative AI Studio - Italiano

Introduzione a Generative AI Studio - Italiano Introduzione a Generative AI Studio - Italiano Questo corso illustra Generative AI Studio, un prodotto su Vertex AI che ti aiuta a prototipare e personalizzare i modelli di AI generativa in modo da poterne utilizzare le capacità nelle tue applicazioni. In questo corso imparerai cos'è Generative AI.
course image
provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand
California Institute of Technology

Introduction to Image Generation - Français

Introduction à la Génération d'Images - Français Ce cours présente les modèles de diffusion, une famille de modèles de machine learning qui s'est récemment révélée prometteuse dans le domaine de la génération d'images. Les modèles de diffusion trouvent leur origine dans la physique, et plus précisément dans la thermodynamique..
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California Institute of Technology Coursera

Introduction to Image Generation - Bahasa Indonesia

Kursus ini memperkenalkan model difusi, yaitu kelompok model machine learning yang belakangan ini menunjukkan potensinya dalam ranah pembuatan gambar. Model difusi mengambil inspirasi dari fisika, khususnya termodinamika. Dalam beberapa tahun terakhir, model difusi menjadi populer baik di dunia industri maupun penelitian. Model difusi mendasar.
course image
provider Coursera
pricing Free Online Course (Audit)
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!