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Generative AI courses

1067 Courses

California Institute of Technology Coursera

Generative AI for Data Science

Generative AI for Data Science Discover how Generative AI can enhance data accuracy and operational efficiency in data science. This short course is designed for data scientists and AI enthusiasts to unlock the potential of Generative AI in data-driven projects. In just 3 hours, you'll learn to: Explore and leverage Generative AI application.
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California Institute of Technology Coursera

Generative AI: Unleash Your Project Management Potential

Generative AI: Unleash Your Project Management Potential By 2030, 80 percent of project management work will be done by AI (Gartner), enabling project managers to boost efficiency by automating tasks, generating insights from vast data sets, and speeding up processes. This course gives existing and aspiring project managers the job-ready skills in.
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California Institute of Technology Coursera

Ethical and Regulatory Implications of Generative AI

Ethical and Regulatory Implications of Generative AI Did you know that the global AI market size is projected to reach $997.77 billion by 2028? As AI technologies rapidly integrate into every sector, understanding their ethical and regulatory implications has never been more critical. This Short Course was created to help professionals in tech, la.
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California Institute of Technology Coursera

Generative AI - Your Personal Code Reviewer

Generative AI - Your Personal Code Reviewer Generative AI - Your Personal Code Reviewer Dive into the forefront of coding evolution with our comprehensive course, "Generative AI - Your Personal Code Reviewer." This immersive course is tailored for learners seeking to unlock the full potential of generative AI in the world of code review and.
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California Institute of Technology Coursera

Generative AI Essentials: A Comprehensive Introduction

Generative AI Essentials: A Comprehensive Introduction Welcome to this introductory course on Generative AI, designed to empower you with the knowledge to harness this cutting-edge technology. This course offers a deep dive into the core concepts of Generative AI, exploring its ability to create new content from existing data a.
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California Institute of Technology AWS Skill Builder

Foundations of Prompt Engineering (Indonesian)

Foundations of Prompt Engineering (Indonesian) Dalam kursus ini, Anda akan mempelajari prinsip, teknik, dan praktik terbaik untuk mendesain prompt yang efektif. Kursus ini memperkenalkan dasar rekayasa prompt dan berlanjut ke teknik prompt lanjutan. Anda juga akan mempelajari cara mencegah penyalahgunaan prompt dan cara mengurangi bias saat berint.
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California Institute of Technology AWS Skill Builder

Generative AI for Executives (Arabic) (Na)

Generative AI for Executives (Arabic) (Na) تقدِّم هذه الدورة التدريبية صورة عالية المستوى للذكاء الاصطناعي المولّد. يستكشف الطلاب المقصود بالذكاء الاصطناعي المولّد، وكيف يمكن أن يعالج مخاوف المسؤولين التنفيذيين والتحديات التي تواجههم، وكيف يدعم نمو الأعمال التجارية. ويتعلمون أيضًا كيف أن الذكاء الاصطناعي المولّد لديه القدرة على إحداث ثورة في العد.
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California Institute of Technology AWS Skill Builder

Creación de una organización preparada para la IA generativa (Español de España) | Building a Generative AI-Ready Organization (Spanish from Spain)

Creación de una organización preparada para la IA generativa (Español de España) | Building a Generative AI-Ready Organization (Spanish from Spain) Creación de una organización preparada para la IA generativa es el último curso de la serie de tres partes Fundamentos de la IA generativa para los responsables de la toma de decisiones empresariales y.
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California Institute of Technology AWS Skill Builder

Criação de uma organização pronta para o uso da IA generativa (Português) | Building a Generative AI-Ready Organization (Portuguese)

Criação de uma organização pronta para o uso da IA generativa é o último curso de uma série de três partes de Elementos essenciais de IA generativa para tomadores de decisões técnicas e empresariais. Se você ainda não o fez, recomendamos que você comece pelo primeiro curso da série, Introdução a IA generativa: a arte do possível. Ao final do curs.
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California Institute of Technology Coursera

Generative AI for Keyword Research

Generative AI for Keyword Research | Coursera This intermediate-level course is designed for those seeking to leverage the power of generative AI to optimize keyword research and enhance SEO outcomes. Delivered by Marketing Specialist Antón Jáuregui, you will develop the confidence and skills to integrate GenAI tools into your SEO strategy. Throug.
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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!