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Generative AI courses

1093 Courses

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California Institute of Technology Noble Desktop

Generative AI Certificate

Generative AI Certificate Program | Noble Desktop Join the Generative AI Certificate Program at Noble Desktop and become proficient in leveraging AI technologies across various fields, including business, marketing, design, and data analytics. This advanced course will teach you how to enhance Excel workflows, produce captivating video content,.
provider Noble Desktop
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California Institute of Technology Coursera

AI Foundations for Everyone

Artificial Intelligence (AI) is reshaping industries and influencing our daily lives. This specialization is crafted for individuals from all walks of life, whether you're a tech guru or a novice, focusing on the impact and potential of AI on society and organizations. No prior programming knowledge is required. The course is designed to prov.
provider Coursera
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California Institute of Technology Indian Institute of Technology Guwahati

Generative AI in the Classroom for Educators

Discover the transformative impact of generative AI in educational settings with our course tailored for educators. In an era where the integration of AI into the classroom sparks significant debate, we provide a comprehensive guide on adopting these technologies responsibly. Leveraging insights from the University of Glasgow’s acclaimed Gener.
provider Coursera
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California Institute of Technology Udemy

Master Business Growth with Generative AI

Transform your business strategies by mastering the application of Generative AI. This comprehensive course, available on Udemy, guides you through advanced techniques in artificial intelligence to optimize your marketing efforts, enhance customer engagement, and extract valuable market insights. Whether you're looking to delve into machine l.
provider Udemy
California Institute of Technology Swayam

AI in Human Resource Management

AI in Human Resource Management is an essential course crafted for those aiming to revolutionize HR practices with cutting-edge AI technologies. Taught by Swayam, this program delves deep into the intersection of AI and HR, preparing participants to enhance workforce productivity and implement advanced HR management tactics. The course cover.
provider Swayam
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California Institute of Technology Coursera

Vertex AI Studio'ya Giriş

Bu kursta, Vertex AI Studio'nun potansiyelini keşfedecek ve üretken yapay zeka iş akışları için araçlar geliştirerek projelerinizde nasıl uygulayabileceğinizi öğreneceksiniz. İlgi çekici dersler ve sürükleyici demolar sayesinde, bu platformu etkin bir şekilde kullanarak birçok formatı destekleyen Gemini uygulamaları geliştirebileceksiniz. Ayrı.
provider Coursera
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California Institute of Technology Johns Hopkins University

Introduction to Using Generative AI in Public Health

Explore the transformative potential of artificial intelligence in public health through this introductory course from Johns Hopkins University, offered on Coursera. Delve into the practical, safe, and ethical use of generative AI tools such as ChatGPT, Midjourney, and Microsoft Copilot. This hands-on course equips students with the skills nec.
provider Coursera
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California Institute of Technology Coursera

IBM Generative AI Engineering

Embark on a transformative learning journey with the IBM Generative AI Engineering Professional Certificate, an opportunity tailor-made for aspiring generative AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers. With the generative AI market poised for a significant growth of over 46% CAGR until.
provider Coursera
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California Institute of Technology King's College London

Generative AI and ESG

Join King's College London's intermediate-level course on Generative AI and ESG to harness the power of AI in boosting sustainability efforts. This course will deepen your understanding of environmental, social, and governance (ESG) principles while teaching you how to apply generative AI (GenAI) technologies effectively. Bridge the gap betwe.
provider Coursera
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California Institute of Technology Coursera

Protecting Sensitive Data in Gen AI Model Responses

Explore the crucial skills required to protect sensitive data within real-time Generative AI model responses. This self-paced lab, delivered through the Google Cloud console and offered by Coursera, enables participants to effectively safeguard sensitive information using the latest techniques. As part of the course curriculum, you will delve.
provider Coursera

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!