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Generative AI courses

1049 Courses

California Institute of Technology Udemy

Generative AI For Beginners with ChatGPT and OpenAI API

Unlock the potential of Generative AI with this beginner-friendly course, where you'll learn how to harness the capabilities of ChatGPT. Dive into the world of AI and explore automation using the OpenAI API. Perfect for those starting in AI, this course provides all the tools and knowledge needed to excel in the field. University: Provider.
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California Institute of Technology Udemy

Amazon Bedrock, Amazon Q & AWS Generative AI [HANDS-ON]

Elevate your AI capabilities with a comprehensive course on Amazon Bedrock, Amazon Q, and AWS Generative AI. Perfect for beginners, this hands-on training requires no prior experience in AI or coding. Dive into practical learning with over eight use cases, exploring various AWS and AI technologies such as Agents, Knowledge Bases, Chatbots,.
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California Institute of Technology Udemy

Generative AI - Risk and Cyber Security Masterclass 2024

Welcome to the Generative AI - Risk and Cyber Security Masterclass 2024, your gateway to mastering the complexities of cyber security in the realm of Generative AI. This comprehensive course is designed to equip you with the knowledge and skills necessary to identify and mitigate risks associated with Generative AI technologies. Generative AI.
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California Institute of Technology Udemy

【Copilot完全入門】2024年最新版！生成AI時代の新スキル・Microsoft Copilot実務活用コース

国内初！生成AI時代において重要となるMicrosoft Copilotの実務活用を学べるコースが登場しました。この講座では、Copilot for M365だけでなく、Web版Copilotについても深く掘り下げ、あらゆる方に適したカリキュラムをご提供します。Microsoft Copilotの活用スキルを身につけ、生成AIの可能性を最大限に引き出しましょう。
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California Institute of Technology Coursera

Büyük Dil Modellerine Giriş

Coursera tarafından sunulan "Büyük Dil Modellerine Giriş" adlı bu kurs, büyük dil modellerinin (BDM) ne olduğunu ve hangi alanlarda kullanılabileceğini anlamak için ideal bir başlangıçtır. Bu mikro öğrenme kursu, BDM'lerin performansını artırmak için nasıl istem ayarlaması yapabileceğinizin yanı sıra, Google'ın sunduğu araçlar ile kendi üretken.
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California Institute of Technology AWS Skill Builder

AWS Flash - Dar rienda suelta a la innovación: la revolución de la IA generativa (Español LATAM) | AWS Flash - Unleashing Innovation: The Generative AI Revolution (LATAM Spanish)

Descubra cómo la inteligencia artificial generativa transforma la innovación creativa más allá de la simple novedad. Este curso básico de 2 horas le proporcionará un conocimiento accesible de cómo utilizar esta tecnología de manera colaborativa y responsable para impulsar la innovación. Nivel del curso: básico Duración: 2 horas Actividades.
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California Institute of Technology Udemy

Curso Completo de IA Generativa: ChatGPT, Midjourney y más!

Embárcate en un viaje fascinante a través del mundo de la Inteligencia Artificial Generativa con nuestro curso completo, diseñado para proporcionar un conocimiento exhaustivo sobre tecnologías revolucionarias como ChatGPT y Midjourney. Desde el entendimiento de Modelos de Lenguaje de gran escala (LLMs) hasta el arte de la Ingeniería de Prompt.
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California Institute of Technology Udemy

Building Gen AI App 12+ Hands-on Projects with Gemini Pro

Machine Learning Courses Cloud Computing Courses Generative AI Courses LangChain Courses Application Development Courses Model Training Courses Fine-Tuning Courses Text Generation Courses Embark on a journey to master the art of AI innovation with Udemy's comprehensive course, "Building Gen AI App 12+ Hands-on Projects with G.
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California Institute of Technology Udemy

ChatGPT Prompt Engineering: 60,000+ Prompts | Generative AI

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California Institute of Technology Noble Desktop

AI for Graphic Design

Unlock the potential of artificial intelligence in graphic design with our expert-led course at Noble Desktop. Dive into the innovative AI tools and features available in Adobe's Photoshop, Illustrator, InDesign, and beyond. This practical class offers a unique opportunity to enhance your design capabilities using the latest in AI technology..

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!