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Generative AI courses

542 Courses

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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California Institute of Technology Coursera

AI-Enhanced Content Creation:Elevate Copywriting with Humata

AI-Enhanced Content Creation: Elevate Copywriting with Humata AI-driven writing isn't just about words; it's about understanding emotions. Advanced algorithms can analyze sentiments and tailor messages to evoke specific feelings, creating a powerful connection with your audience that goes beyond the text on the screen. This one-hour course is fo.
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California Institute of Technology Coursera

AI-Enhanced Presentations Captivating Audiences with TOME

AI-Enhanced Presentations: Captivating Audiences with TOME AI-Enhanced Presentations: Captivating Audiences with TOME AI analyzes content, suggests visuals, and recommends layouts, elevating your presentations to the next level. It's like having a design assistant at your fingertips. This one-hour course is for those interested in quickly crea.
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California Institute of Technology Coursera

Generative AI for Human Resources (HR) Professionals

Generative AI for Human Resources (HR) Professionals Are you an HR professional or aspiring to start your career in this domain? This specialization can help to advance your HR career by leveraging the power of generative AI. The specialization consists of three short, self-paced courses, each requiring 4–6 hours to complete. Within this specia.
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California Institute of Technology Coursera

GenAI in Social Media Marketing

Course Title: GenAI in Social Media Marketing Description: In this short course, you will learn what generative AI is and how it functions. Discover how GenAI can be applied in various business scenarios and understand the concerns surrounding its usage. Explore how to leverage generative AI to enhance your social media strategy by identifying.
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California Institute of Technology Coursera

Generative AI for Consultants

Generative AI for Consultants Enroll in the Generative AI for Consultants course on Coursera to master applying Generative AI in various industries. This course will equip you with essential skills to integrate Gen AI solutions, effectively address complex challenges, and deliver substantial value to your clients through cutting-edge approaches.
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California Institute of Technology Coursera

Generative AI for Data Engineers

Generative AI for Data Engineers Data Engineering is all about efficient data collection, generation, transformation, and storage. Generative AI tools have the capability of making each of these data engineering tasks more efficient, effective, and convenient on an ETL pipeline. This specialization is designed not only for Data Engineers but als.
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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!