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Generative AI courses

541 Courses

California Institute of Technology Coursera

AI-Powered Development with Codepal: Write & Test To-Do App

AI-Powered Development with Codepal: Write & Test To-Do App Have you ever wondered how AI can improve the way we code? In this project, we will explore coding using Codepal.ai, an AI-driven development assistant. This Guided Project is designed for aspiring software developers keen on integrating AI tools into their coding work.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Generative AI: ChatGPT & Game-Changing AI Application- 2024

Generative AI: ChatGPT & Game-Changing AI Application - 2024 Generative AI: ChatGPT & Game-Changing AI Application - 2024 Generate Text, Images, Audio & Video with leading-edge tools such as ChatGPT, Stable Diffusion, DALL-E 2, Midjourney, GPT-4, and AutoGPT, all unleashed in 2024! University: Provider: Udemy C.
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provider Udemy
pricing Free Online Course
duration 1 hour 18 minutes
sessions On-Demand
California Institute of Technology Udemy

Ultimate AI Art Content Creation Course (Generative AI)

Ultimate AI Art Content Creation Course (Generative AI) | Udemy Discover the Ultimate AI Art Content Creation Course and become proficient in using advanced AI tools such as Midjourney, Dall-E, Leonardo AI, CapCut, Adobe Premiere, Firefly, and Topaz. This course covers diverse aspects of AI art including image, video, audio, and writin.
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provider Udemy
pricing Paid Course
duration 4 hours 15 minutes
sessions On-Demand
California Institute of Technology

Generative AI in HR - Impact and Application of Gen AI

Generative AI in HR - Impact and Application of Gen AI Generative AI in HR - Impact and Application of Gen AI HR Tools is a comprehensive course designed to explore the transformative role of generative AI in human resources. Across two modules, this course covers the fundamentals of generative AI, its applications in HR, and the broader implica.
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California Institute of Technology AWS Skill Builder

Unleashing Innovation: The Generative AI Revolution

Unleashing Innovation: The Generative AI Revolution We find ourselves in a society where the line between what is created by humans, and what is created by machines, is increasingly blurred. Generative AI has been a turning point in how we create, design, and interact with technology. But how does it work, what are the benefits beyond novelty and.
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provider AWS Skill Builder
pricing Free Certificate
duration 1 hour 50 minutes
sessions On-Demand
California Institute of Technology

Using Generative AI to Troubleshoot Linux

Using Generative AI to Troubleshoot Linux The days of scouring Stack Overflow for troubleshooting help may be at an end. This course will teach you how to solve Linux operating system problems by using generative AI solutions like ChatGPT and GitHub Copilot. Troubleshooting Linux usually involves not only the good o.
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California Institute of Technology Pluralsight

Security Risks and Privacy Concerns Using Generative AI

Generative AI has the profound ability to impact and influence cybersecurity, yielding both favorable and adverse consequences. This course will teach you foundational aspects of generative AI and its implications on data and privacy concerns and how to remediate them. In today’s current cyber landscape, threats are constantly evolving, and i.
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provider Pluralsight
pricing Free Trial Available
duration 25 minutes
sessions On-Demand
California Institute of Technology Skillshare

ChatGPT: Increased Productivity for Creative Professionals

Welcome to "Generative AI for Creative Professionals"! As a creative professional, you may have heard about Generative AI and its potential to revolutionize the way we work. But what exactly is Generative AI, and how can it be used in creative work? In this class, we will explore the basics of Generative AI and its limitations. We will also dive i.
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provider Skillshare
pricing Free Trial Available
duration 29 minutes
sessions On-Demand
California Institute of Technology

Introduction to generative AI for trainers

Introduction to Generative AI for Trainers Module 1: By understanding the basics of generative AI models, you empower yourself to make responsible decisions when using these models. This knowledge allows you to critically evaluate outputs, assess their reliability, and understand potential limitations leading to more inf.
California Institute of Technology Udemy

Generative AI with Google - Bard, PaLM API and Gen AI Studio

Generative AI with Google - Bard, PaLM API and Gen AI Studio Begin your Generative AI journey today with comprehensive courses on Google Bard, PaLM API, and Google Cloud Generative AI Studio. Available now on Udemy. Categories: Generative AI Courses, Google Bard Courses
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provider Udemy
pricing Paid Course
duration 4 hours 49 minutes
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!