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Generative AI courses

542 Courses

California Institute of Technology FutureLearn

Applied Artificial Intelligence: Natural Language Processing

Delve into the transformative world of Applied Artificial Intelligence focusing specifically on Natural Language Processing (NLP) with this comprehensive course offered through FutureLearn. This course is a part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, designed to equip you with essential AI and machine learning skills while p.
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provider FutureLearn
pricing Paid Course
duration 3 weeks, 6 hours a week
sessions On-Demand
California Institute of Technology Galileo University

Unlocking the Power of Generative AI with ChatGPT for Higher Education

Unlock the Power of Generative AI with ChatGPT for Higher Education - Dive into the transformative potential of ChatGPT in the educational landscape with this comprehensive course offered by Galileo University through edX. Embrace the future of education and technology by learning how ChatGPT, a cutting-edge conversational language model developed.
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provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 4-5 hours a week
sessions On-Demand
California Institute of Technology Pluralsight

Artificial Intelligence Explained

Discover the world of Artificial Intelligence (AI) with our comprehensive course designed for quick learning. Delve into the essentials and get up-to-date with the latest in AI, including cutting-edge Generative AI tools such as ChatGPT. This introduction is perfect for anyone eager to understand the current landscape of AI, from its widely recogni.
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provider Pluralsight
pricing Free Trial Available
duration 53 minutes
sessions On-Demand
California Institute of Technology Coursera  Specialization

AI Foundations for Everyone

Discover the transformative power of Artificial Intelligence (AI) with our specialization course, "AI Foundations for Everyone," available on Coursera. Designed for individuals across all professional backgrounds and educational levels, this course offers a comprehensive introduction to AI without the need for programming skills. Delve into the ess.
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provider Coursera  Specialization
pricing Paid Course
duration 17 weeks, 2 hours a week
California Institute of Technology Southern New Hampshire University

Generative AI for Leaders

Explore the frontier of leadership innovation with our course, "Generative AI for Leaders," offered by Southern New Hampshire University on Coursera. This pivotal training program is designed for leaders eager to harness the transformative potential of Generative AI, a technology set to redefine the essence of effective leadership. Engage in a comp.
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provider Coursera
pricing Free Online Course (Audit)
duration 4-5 hours
sessions On-Demand
California Institute of Technology FutureLearn

Design a Feminist Chatbot

Delve into the significance of merging feminism with generative AI technology through our enlightening four-week course. In an era dominated by AI-driven conversations, the creation of chatbots presents a unique opportunity to either propagate or challenge prevailing gender stereotypes and biases. This course is meticulously designed to explore the.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 4 weeks, 2 hours a week
sessions On-Demand
California Institute of Technology King's College London

AI Concepts and Strategy

Embark on a transformative journey into the world of Artificial Intelligence (AI) with our introductory course, "AI Concepts and Strategy," offered through Coursera by King's College London. This unique course delves into AI from three critical dimensions: Practice, Principles, and Strategy, providing a comprehensive foundation for understanding th.
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provider Coursera
pricing Free Online Course (Audit)
duration 14 hours
sessions On-Demand
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

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!