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Generative AI courses

659 Courses

California Institute of Technology Korea Advanced Institute of Science and Technology

Generative AI in Higher Education

Discover the transformative power of generative AI in the realm of higher education with this enlightening two-week course from King’s College London, presented on FutureLearn. As generative AI technologies like ChatGPT and advanced AI-generated imagery become more prevalent, the landscape of higher education is poised for significant change. This.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 2 weeks, 3 hours a week
sessions On-Demand
California Institute of Technology Coursera

Introduction to Generative AI

Course Title: Introduction to Generative AI Description: Dive into the world of AI with our beginner-friendly microlearning course on Generative AI. Learn the basics of what Generative AI entails, its applications, and how it sets itself apart from conventional machine learning techniques. This course also provides an overview of various Google Too.
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provider Coursera
pricing Free Online Course (Audit)
duration 1 hour
sessions On-Demand
California Institute of Technology FutureLearn

Introduction to Creative AI

Delve into the transformative power of creative AI with this engaging two-week course offered by the Creative Computing Institute at UAL, available through FutureLearn. This course is tailor-made for those keen to comprehend the impact of artificial intelligence in the realm of creative industries. Discover how machine learning and AI have revoluti.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 2 weeks, 2 hours a week
sessions On-Demand
California Institute of Technology DataCamp

Introduction to ChatGPT

Title: Introduction to ChatGPT Description: Embark on a journey to master ChatGPT, the revolutionary conversational AI, with our comprehensive course. Offered by DataCamp, this curriculum is designed to immerse you in the world of generative artificial intelligence (AI), providing you with the skills to harness the power of ChatGPT for a variety of.
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provider DataCamp
pricing Free Trial Available
duration 1 hour
sessions On-Demand
California Institute of Technology Udemy

ChatGPT Masterclass: ChatGPT Guide for Beginners to Experts!

Course Title: ChatGPT Masterclass: ChatGPT Guide for Beginners to Experts! Description: Dive into the world of ChatGPT with our comprehensive masterclass, designed to take you from a novice to an expert. This course focuses on ChatGPT Prompt Engineering, including leveraging ChatGPT 4 and other Generative AI tools to drive business innovation and s.
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provider Udemy
pricing Paid Course
duration 17 hours 9 minutes
sessions On-Demand
California Institute of Technology Coursera

Getting Started with Generative AI APIs

Title: Getting Started with Generative AI APIs Description: Embark on your journey into the realm of artificial intelligence with this detailed course. Through this training, participants will learn the essential steps of initiating their OpenAI trial, creating API keys, and executing their inaugural API request. The curriculum provides an introduc.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand
California Institute of Technology Southern New Hampshire University

Generative AI Primer

Discover the transformative power of Generative AI in the "Generative AI Primer" course offered by Southern New Hampshire University on Coursera. Delve into the fascinating world of ChatGPT and other large language models that promise to revolutionize your personal and professional life, potentially surpassing the impact of smartphones. Learn how t.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology Southern New Hampshire University

Prompt Engineering

Embark on a transformative journey with Southern New Hampshire University’s specialization on Coursera, designed to equip you with the revolutionary skills of Prompt Engineering. This comprehensive course is crafted to enhance your innate creativity and critical thinking capabilities through the application of Generative AI, effectively serving as.
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provider Coursera  Specialization
pricing Paid Course
California Institute of Technology Southern New Hampshire University

Trustworthy Generative AI

Discover the potential of Generative AI to enhance creativity and decision-making with Southern New Hampshire University's new course on Coursera. This comprehensive program delves into the art of prompt engineering, offering insights on producing reliable outputs through Generative AI tools like ChatGPT. Understand the common pitfalls, such as ina.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology University of Victoria

Generative AI: Implications and Opportunities for Business

Discover the transformative power of Generative AI and its burgeoning role in the business landscape with the "Generative AI: Implications and Opportunities for Business" course offered by the University of Victoria through FutureLearn. This comprehensive four-week program is designed to equip participants with a deep understanding of how machine l.
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provider FutureLearn
pricing $179.00
duration 4 weeks, 3 hours a week
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!