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Generative AI courses

659 Courses

California Institute of Technology LinkedIn Learning

Prompt Engineering: How to Talk to the AIs

Prompt Engineering: How to Talk to the AIs | LinkedIn Learning Course: Prompt Engineering: How to Talk to the AIs Description: Enhance your AI capabilities by mastering the art of prompt engineering. Learn to design and optimize prompts for improved interactions with large language models. University: Provider: LinkedIn Learning.
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California Institute of Technology LinkedIn Learning

Generative AI: Introduction to Large Language Models

Generative AI: Introduction to Large Language Models | LinkedIn Learning Course Title: Generative AI: Introduction to Large Language Models Description: Gain a foundational knowledge of how large language models and other Generative AI models work. University: Provided by LinkedIn Learning Categories: Artificial Intelligence Cour.
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California Institute of Technology LinkedIn Learning

AI-Driven Project Management: Techniques and Insights with Ricardo Vargas

AI-Driven Project Management: Techniques and Insights with Ricardo Vargas | LinkedIn Learning Event: AI-Driven Project Management: Techniques and Insights with Ricardo Vargas Description: Dive into this engaging interview with project management expert Ricardo Vargas and discover a wealth of advanced techniques for integrat.
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California Institute of Technology LinkedIn Learning

How to Keep Your Team on the Bleeding Edge of AI Innovation

How to Keep Your Team on the Bleeding Edge of AI Innovation Discover cutting-edge strategies to keep your team at the forefront of AI innovations. This course, offered by LinkedIn Learning, enables you to unlock the full potential of AI within your organization. Dive deep into practical and ethical considerations, learning from top leaders in th.
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California Institute of Technology LinkedIn Learning

AI Productivity Hacks to Reimagine Your Workday and Career

AI Productivity Hacks to Reimagine Your Workday and Career Discover the power of generative AI and how it can revolutionize your workday and career. In this LinkedIn Learning course, you'll uncover various AI productivity hacks designed to boost your efficiency and effectiveness. Enroll today and start transforming your professional life..
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California Institute of Technology LinkedIn Learning

Generative AI in Learning and Development

Generative AI in Learning and Development - LinkedIn Learning Learn how generative AI will affect the learning and development field. Enroll in this insightful course offered by LinkedIn Learning and stay ahead in the evolving landscape of educational technology. Expand your knowledge in areas such as Artificial Intelligence, Data Anal.
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California Institute of Technology LinkedIn Learning

Generative AI for Product Managers

Generative AI for Product Managers Leverage cutting-edge insights for product managers to start using generative AI tools such as ChatGPT to help manage the product lifecycle and process. University: Provider: LinkedIn Learning Categories: Artificial Intelligence Courses, Generative AI Courses, ChatGPT Courses, Prototyping Courses, Product.
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California Institute of Technology LinkedIn Learning

AI and Generative AI for Video Content Creation

Discover how AI is revolutionizing video content creation in this comprehensive course by LinkedIn Learning. Learn about the latest advancements and techniques in AI that are transforming video, audio, motion graphics, and visual effects. Perfect for professionals seeking to enhance their skills in: Artificial Intelligence Generative.
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California Institute of Technology LinkedIn Learning

Get Ready for Generative AI

Get Ready for Generative AI Course Title: Get Ready for Generative AI Description: Dive into the world of generative AI with this insightful course. Learn the fundamental concepts, explore new capabilities, and understand the emerging issues in the field of artificial intelligence. Provider: LinkedIn Learning Catego.
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California Institute of Technology AWS Skill Builder

AWS Flash - Introduction to Responsible AI

AWS Flash - Introduction to Responsible AI This course provides an overview of what responsible AI is and why it is important in the context of generative AI. Responsible AI refers to the development, deployment, and use of AI in an ethical, transparent, fair, and accountable manner. The course covers core dimensions of responsible AI; establish.
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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!