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Generative AI courses

542 Courses

California Institute of Technology Udemy

Masterclass: Applying ChatGPT with AutoGPT, Excel, G Gemini

Masterclass: Applying ChatGPT with AutoGPT, Excel, G Gemini | Udemy Join our Masterclass on applying ChatGPT with AutoGPT, Excel, and G Gemini. Receive personalized help while learning to utilize Ai Tools, including ChatGPT, for no coding app creation. Develop your own digital assistant and generate automatic designs with expert guidance. Enr.
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provider Udemy
pricing Paid Course
duration 5 hours 58 minutes
sessions On-Demand
California Institute of Technology Udemy

A.I. For content creators - go beyond ChatGPT

A.I. For Content Creators - Go Beyond ChatGPT Discover the ultimate course for content creators looking to harness the full potential of A.I. and elevate their work. Our A.I. For Content Creators - Go Beyond ChatGPT course offers cutting-edge tools and strategies that go beyond ChatGPT, providing you with faster and better results. Offered by.
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provider Udemy
pricing Paid Course
duration 1 hour 26 minutes
sessions On-Demand
California Institute of Technology Udemy

10 in 1 Course : Text to Image AI Art Generators Masterclass

10 in 1 Course: Text to Image AI Art Generators Masterclass Course Title: 10 in 1 Course: Text to Image AI Art Generators Masterclass Course Description: Discover the power of AI Art Generators with our comprehensive course. Learn to use top tools including Leonardo AI, Nightcafe, Canva, Bing Image Generator, Gencraft, Photosonic, Bl.
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provider Udemy
pricing Paid Course
duration 1 hour 39 minutes
sessions On-Demand
California Institute of Technology Coursera

Gen AI for Code Generation for Python

Gen AI for Code Generation for Python | Coursera Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI. Throughout this short course, you will delve into various techniques for generating Python code effo.
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provider Coursera
pricing Free Online Course (Audit)
duration 4-5 hours
sessions On-Demand
California Institute of Technology Coursera

Leveraging Virtual Assistants for Personal Productivity

In a fast-paced world, managing personal productivity is crucial. This course introduces beginners to the world of virtual assistants and chatbots and how they can be harnessed to enhance personal productivity. Learn how to use these AI-driven tools effectively to streamline tasks, manage time, and boost overall efficiency. By the end of this.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology University of Michigan

Generative AI Essentials: Overview and Impact

Generative AI Essentials: Overview and Impact | University of Michigan | Coursera Generative AI Essentials: Overview and Impact With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
sessions On-Demand
California Institute of Technology Indian Institute of Technology Guwahati

Generative AI in Education

Generative AI in Education Discover the foundations of generative AI in our dynamic course. Gain a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices. This engaging, discussion-focused course empowers learners to explore generative AI through hands-on practice with r.
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provider Coursera
pricing Free Online Course (Audit)
duration 5-6 hours
sessions On-Demand
California Institute of Technology Udemy

ChatGPT, Midjourney, DALL-E 3 & APIs - The Complete Guide

ChatGPT, Midjourney, DALL-E 3 & APIs - The Complete Guide Boost your productivity by mastering ChatGPT, OpenAI APIs, Midjourney, prompt engineering, AutoGPT, and more with this comprehensive guide from Udemy. Categories: Generative AI Courses, ChatGPT Courses, Midjourney Courses, DALL-E Courses
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provider Udemy
pricing Paid Course
duration 15 hours 47 minutes
sessions On-Demand
California Institute of Technology Coursera

Coding with Generative AI

Coding with Generative AI Coding with Generative AI This microlearning course (approximately 3 hours) provides an introductory exploration of the fundamental concepts of Generative AI with a specific focus on its application for coders. You will gain an understanding of the underlying principles of generative AI and learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
sessions On-Demand
California Institute of Technology

Github CoPilot for Beginners: Write Software With AI

Github CoPilot for Beginners: Write Software With AI Can the latest AI tools supercharge your web development process? Discover the future of coding with GitHub Copilot, an AI-powered coding assistant. This Guided Project is tailored for budding web developers aiming to utilize cutting edge AI tools to build websites faster. In.
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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!