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Generative AI courses

1093 Courses

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California Institute of Technology Coursera

Automated Report Generation with Generative AI

Automated Report Generation with Generative AI In today's data-driven world, generating reports efficiently is a valuable skill for professionals across various industries. This course introduces beginners to the world of automated report generation using AI-powered tools and techniques. You will learn how to leverage the capabilities of artific.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

AI for Business: Generation & Prediction

AI for Business: Generation & Prediction Artificial Intelligence (AI) is not a new technology; it has been in development for decades. Today, however, AI is in the spotlight as it reshapes the way businesses operate, innovate, and engage with customers. Generative AI stands at the forefront of this transformation. This course demonstrates the fo.
provider Coursera
sessions On-Demand
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California Institute of Technology

Planning a Generative AI Project (Thai)

Planning a Generative AI Project (Thai) การวางแผนโปรเจกต์ Generative AI เป็นหลักสูตรที่สองในเนื้อหาชุดที่มีสามส่วน ที่เรียกว่า Generative AI Essentials สำหรับผู้มีอำนาจตัดสินใจทางธุรกิจและทางเทคนิค หากคุณยังไม่ได้ดำเนินการ ให้เริ่มด้วยหลักสูตรแรกในชุดที่มีชื่อว่า ความรู้เบื้องต้นเกี่ยวกับ Generative AI - ศิลปะของความเป็นไปได้ ในหลักสูตรนี้ คุณจะได.
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California Institute of Technology AWS Skill Builder

Creación de modelos lingüísticos en AWS (Español LATAM) | Building Language Models on AWS (LATAM Spanish)

Creación de Modelos Lingüísticos en AWS (Español LATAM) | Building Language Models on AWS (LATAM Spanish) Amazon SageMaker ayuda a los científicos de datos a preparar, crear, entrenar, implementar y supervisar modelos de machine learning (ML). SageMaker reúne un amplio conjunto de capacidades, incluido el acceso a bibliotecas de formación distrib.
provider AWS Skill Builder
sessions On-Demand
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California Institute of Technology Coursera

Gen AI in Cybersecurity

Gen AI in Cybersecurity Course | Coursera Embark on a transformative journey into the realm of Gen AI in Cybersecurity with our comprehensive course. Dive deep into the intricacies of harnessing artificial intelligence to secure digital landscapes, from foundational principles to cutting-edge concepts. Throughou.
provider Coursera
sessions On-Demand
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California Institute of Technology AWS Skill Builder

Criação de modelos de linguagem na AWS (Português) | Building Language Models on AWS (Portuguese)

Criação de Modelos de Linguagem na AWS (Português) | Building Language Models on AWS (Portuguese) O Amazon SageMaker ajuda data scientists a preparar, criar, treinar, implantar e monitorar modelos de Machine Learning (ML). O SageMaker reúne um conjunto amplo de capacidades, incluindo acesso a bibliotecas de treinamento distribuído, modelos de códi.
provider AWS Skill Builder
sessions On-Demand
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California Institute of Technology Google Cloud Skills Boost

Duet AI for Application Developers

Duet AI for Application Developers In this course, you will discover how Duet AI, the generative AI-powered collaborator from Google Cloud, assists developers in building robust applications. Learn to utilize Duet AI to: Explain code. Recommend Google Cloud services. Generate application code. Engage in a hands-on lab to experience firs.
provider Google Cloud Skills Boost
sessions On-Demand
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California Institute of Technology Google Cloud Skills Boost

Duet AI for Cloud Architects

In this course, you will discover how Duet AI, an AI-powered collaborator from Google Cloud, assists administrators in provisioning infrastructure effectively. You'll learn to prompt Duet AI to clarify infrastructure details, deploy GKE clusters, and update existing infrastructure. Through hands-on labs, you'll experience how Duet AI streamlin.
provider Google Cloud Skills Boost
sessions On-Demand
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California Institute of Technology Google Cloud Skills Boost

Duet AI for Network Engineers

Duet AI for Network Engineers In this course, you will learn how Duet AI, a generative AI-powered collaborator from Google Cloud, assists network engineers in creating, updating, and maintaining VPC networks. You will understand how to prompt Duet AI to provide specific guidance for your networking tasks, surpassing the assistance typically offe.
provider Google Cloud Skills Boost
sessions On-Demand
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California Institute of Technology Google Cloud Skills Boost

Duet AI for Security Engineers

Title: Duet AI for Security Engineers University: Google Cloud Skills Boost Categories: Generative AI Courses, Duet AI Courses Description: In this course, you will learn how Duet AI, a generative AI-powered collaborator from Google Cloud, assists in securing your cloud environment and resources. The course covers how to deploy example workloa.
provider Google Cloud Skills Boost
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!