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Generative AI courses

541 Courses

California Institute of Technology LinkedIn Learning

Using Gen AI to Develop Personalized Learning Plans

Using Gen AI to Develop Personalized Learning Plans Unlock the potential of generative AI in designing individualized educational plans. This course offered by LinkedIn Learning delves into how AI-driven technologies can create hyperpersonalized learning experiences. Perfect for educators and instructional desi.
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California Institute of Technology Coursera

GenAI for Sales Teams

GenAI for Sales Teams Generative Artificial Intelligence (GenAI) is transforming the sales process, providing sales teams with innovative tools to enhance productivity, efficiency, and overall impact. By utilizing advanced language models and AI-driven capabilities, sales professionals can optimize workflows, tailor customer engagements, and gain.
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Vietnamese)

Developing Generative Artificial Intelligence Solutions (Vietnamese) Trong khóa học này, bạn sẽ khám phá vòng đời của ứng dụng trí tuệ nhân tạo tạo sinh (AI tạo sinh), bao gồm: Xác định trường hợp sử dụng trong kinh doanh Chọn mô hình nền tảng (FM) Cải thiện hiệu suất của FM Đánh giá hiệu suất của FM Triển khai và tác động của việc triể.
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California Institute of Technology Coursera

Microsoft Copilot: Your Everyday AI Companion

Title: Microsoft Copilot: Your Everyday AI Companion Embark on a journey into the world of AI with our comprehensive Microsoft Copilot: Your Everyday AI Companion. This program is designed for individuals eager to harness the power of artificial intelligence to revolutionize productivity and innovation within their organizations. Why choose th.
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California Institute of Technology Coursera

GenAI for DevOps Practitioners

As part of the GenAI Academy, "GenAI for DevOps Practitioners" is an in-depth course exploring the transformative effects of Generative Artificial Intelligence (GenAI) on DevOps. This primer helps learners discover key GenAI capabilities while providing practical strategies for adopting these powerful tools in everyday DevOps tasks. Through.
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California Institute of Technology Coursera

GenAI for Sales Development Representatives

Course Title: GenAI for Sales Development Representatives Course Description: This course is designed to introduce Sales Development Representatives (SDRs) to the transformative capabilities of Generative Artificial Intelligence (GenAI). Participants will explore practical strategies to leverage GenAI in various sales tasks, enhancing efficie.
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California Institute of Technology Coursera

GenAI for Program Managers

GenAI for Program Managers This course offers a hands-on journey into the practical applications of Generative Artificial Intelligence (GenAI) in program management. Designed to revolutionize your approach to managing software development projects, it blends engaging video lectures, real-world demonstrations, and interactive exercises. You'll e.
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California Institute of Technology Coursera

Work with Gemini Models in BigQuery - Français

Work with Gemini Models in BigQuery - Français Ce cours vous montre comment utiliser des modèles d'intelligence artificielle et de machine learning pour accomplir des tâches d'IA générative dans BigQuery. Grâce à un cas d'utilisation pratique en gestion de la relation client, vous explorerez le workflow nécessaire pour résoudre un problème métier.
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California Institute of Technology edX

Productividad Profesional Optimizada con IA: ChatGPT

Productividad Profesional Optimizada con IA: ChatGPT La era digital ha cambiado la forma en que las personas interactúan con la información y el conocimiento. Cada vez es más común tener fácil acceso a los grandes bancos de información, lo que ha aumentado la demanda de herramientas y tecnologías que permitan una búsqueda.
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California Institute of Technology Coursera

Work with Gemini Models in BigQuery - Bahasa Indonesia

Work with Gemini Models in BigQuery - Bahasa Indonesia Kursus ini menunjukkan cara menggunakan model AI/ML untuk tugas-tugas AI generatif di BigQuery. Melalui kasus penggunaan praktis yang melibatkan pengelolaan hubungan pelanggan (CRM), Anda akan mempelajari alur kerja pemecahan masalah bisnis dengan model Gemini. Untuk memudahkan pemahaman, ku.
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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!