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Generative AI courses

659 Courses

California Institute of Technology Udemy

Become an AI-Powered Engineer: ChatGPT, Github Copilot

Course Title: Become an AI-Powered Engineer: ChatGPT, GitHub Copilot Description: Enroll in our extensive online course and master the innovative tools like ChatGPT, GitHub Copilot, and Copilot Labs. Learn to accelerate your coding skills and develop software twice as fast. This course is ideal for those looking to enhance their programming abiliti.
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provider Udemy
pricing Free Online Course
duration 1 hour 42 minutes
sessions On-Demand
California Institute of Technology Google Cloud Skills Boost

Introduction to AI and Machine Learning on Google Cloud - Locales

Course Overview: Dive into the world of artificial intelligence (AI) and machine learning (ML) through the "Introduction to AI and Machine Machine Learning on Google Cloud - Locales" course, specially tailored for non-English speakers. This program is a segment of the comprehensive offerings on Google Cloud designed to guide learners through the AI.
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provider Google Cloud Skills Boost
pricing Paid Course
duration 16 hours
sessions On-Demand
California Institute of Technology CreativeLive

10x Your Marketing Efforts with ChatGPT, Midjourney, and More

AFTER THIS CLASS YOU’LL BE ABLE TO: Leverage Generative AI tools like ChatGPT to create high-quality, SEO-optimized content for marketing campaigns. Craft effective prompts for AI chatbots, ensuring precise and relevant responses tailored to specific business needs. Navigate and integrate third-party plugins with ChatGPT to extend its capabilities.
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provider CreativeLive
pricing $99.00
duration 53 minutes
sessions On-Demand
California Institute of Technology Microsoft Learn

Microsoft Azure AI Fundamentals: Generative AI

Title: Microsoft Azure AI Fundamentals: Generative AI Description: Explore the essentials of generative AI in this carefully structured course by Microsoft Learn. Spanning through three pivotal modules, the course will equip you with the knowledge to understand and implement generative AI applications effectively. Module 1: Dive into the fundame.
provider Microsoft Learn
pricing Free Online Course
duration 2 hours 33 minutes
sessions On-Demand
California Institute of Technology Udemy

Future Skills 2030-Prepare for the 4th Industrial Revolution

The future of work is changing fast - know the technologies driving change and key skills to future-proof your career.
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provider Udemy
pricing Paid Course
duration 6 hours 21 minutes
sessions On-Demand
California Institute of Technology Domestika

Creación de contenidos con IA

La inteligencia artificial es tan asombrosa que puede incluso asustarnos, pero si aprendemos a aplicarla como herramienta en nuestro trabajo, puede ayudarnos a optimizar el tiempo y los recursos. En este curso online, la consultora de comunicación Núria Mañé te enseñará a crear contenidos con IA. A lo largo de las unidades, aprenderás a emplea.
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provider Domestika
pricing Paid Course
sessions On-Demand
California Institute of Technology University of Michigan

Generative AI Teach-Out

Generative AI Teach-Out This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward. Generative AI has de.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology Southern New Hampshire University

GPT Vision: Seeing the World through Generative AI

GPT Vision: Seeing the World through Generative AI Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to "GPT Vision: Seeing the World Through Generative AI", a course designed to revolutionize how you interact with the world around you th.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
sessions On-Demand
California Institute of Technology Coursera

Programmatic Prompting with OpenAI: Refining and Filtering

Programmatic Prompting with OpenAI: Refining and Filtering In this project, you will implement a Flask Python web app that dynamically generates movie reviews in different styles using OpenAI text models. By prompting and tweaking OpenAI parameters, you'll refine the generated responses using top_p, frequency penalty, presence.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Leveraging AI for Enhanced Content Creation

Leveraging AI for Enhanced Content Creation This course provides a foundation to assess, and apply, a series of Generative Artificial Intelligence (AI) tools, such as ChatGPT, Bing Chat, Google Bard, Midjourney, Runway, and Eleven Labs. This learning opportunity offers a hands-on experience through ideating, creating, and finalizing.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
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!