Generative AI courses

542 Courses

Generative AI: Impact, Considerations, and Ethical Issues

Delve into the world of generative artificial intelligence (AI) and uncover its profound impact on society, the workforce, organizations, and the environment with our comprehensive course offered through Coursera. This program is meticulously designed for anyone keen on understanding the ethical, economic, and social implications of generative AI,.
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provider Coursera
pricing Free Online Course (Audit)
duration 3-4 hours
sessions On-Demand

Generative AI: Prompt Engineering Basics

Unlock the full potential of generative AI with our comprehensive course titled "Generative AI: Prompt Engineering Basics" now available on Coursera. Tailored for a broad audience, including professionals, executives, students, and enthusiasts, this course dives deep into the art and science of prompt engineering. Discover how to harness the power.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand

Generative AI: Introduction and Applications

Explore Generative AI: A Comprehensive Introduction Dive into the world of generative artificial intelligence with our all-encompassing course, tailored for professionals, executives, students, and AI aficionados alike. Discover the transformative power of generative AI and how to harness it in various aspects of your professional and personal life.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand

Intro to ChatGPT

Embark on a journey to explore ChatGPT, a forefront AI system, through our engaging introduction course. ChatGPT, brought to life by OpenAI, stands as a pinnacle in the realm of Generative AI, reshaping our interaction and communication with groundbreaking technology. Engage with one of the most sophisticated artificial intelligence systems, capabl.
provider Codecademy
pricing Free Trial Available
duration 7 hours
sessions On-Demand

Introduction to Prompt Engineering

Discover the art and science behind guiding generative AI models with our "Introduction to Prompt Engineering" course, offered through edX. This comprehensive course delves into the process of prompt engineering, teaching you to effectively control AI outputs and produce the results you desire. You'll gain insights into writing impactful prompts, e.
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provider edX
pricing Free Online Course (Audit)
duration 3 weeks, 1-3 hours a week
sessions On-Demand

Generative AI Fundamentals

Unlock the potential of Generative AI and transform your career and life with our comprehensive specialization on Coursera. Dive into the groundbreaking field of Generative AI and grasp the fundamental concepts, models, tools, and their applications. With our five short, self-paced courses, requiring just 3–5 hours each, you will master prompt engi.
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provider Coursera  Specialization
pricing Paid Course

Planning a Generative AI Project

Planning a Generative AI Project marks the second installment in a series dedicated to Generative AI Essentials, aimed at both Business and Technical Decision Makers. Kickstart your AI journey with the initial course, Introduction to Generative AI - Art of the Possible, to fully benefit from this comprehensive learning path. This course dives deep.
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provider AWS Skill Builder
pricing Free Certificate
duration 1 hour
sessions On-Demand

AI: Executive Briefing

Discover the essence of Artificial Intelligence (AI) and its current landscape in our executive briefing, "AI: Executive Briefing." This concise introduction provides a rapid overview of AI's present state, including a focus on cutting-edge Generative AI tools such as ChatGPT, Google Bard, and Midjourney. Initiate your journey by debunking the clic.
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provider Pluralsight
pricing Free Trial Available
duration 53 minutes
sessions On-Demand

Backcasting from a solar punk future using generative AI

Course Title: Backcasting from a Solar Punk Future Using Generative AI Description: Dive into the fascinating world of generative AI with our cutting-edge course, specifically designed to explore the concept of backcasting from solar punk futures. This unique approach helps individuals and organizations envision and work towards a sustainable, opti.
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand

Intro to Generative AI

Title: Intro to Generative AI Description: Embark on a journey through the fascinating world of generative artificial intelligence with our comprehensive course. This exciting area within AI focuses on empowering computers to perform human-like tasks, including learning, reasoning, and creating original content across text, images, audio, and video.
provider Codecademy
pricing Free Trial Available
duration 1 hour
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!