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Generative AI courses

1093 Courses

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California Institute of Technology Udemy

Art with AI Bootcamp: From Pixel Dummy to Legend Artist

Join the transformative journey at the Art with AI Bootcamp: From Pixel Dummy to Legend Artist. Elevate your design skills by crafting stunning visuals that transition from Figma wireframes to DALL·E masterpieces. This comprehensive course offered by Udemy is perfect for those looking to delve into the world of AI-assisted design. The bootcamp.
provider Udemy
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California Institute of Technology Udemy

Complete Generative AI for upskilling & learning initiatives

Unlock the potential of Generative AI in the realm of personalized learning and upskilling with our dedicated course. Offered by Udemy, this program is tailored for individuals eager to delve into the nuances of Generative AI models. Whether you're looking to enhance your machine learning skills, explore deep learning, or understand the intri.
provider Udemy
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California Institute of Technology Udemy

Governance for Generative AI

Explore the essential principles of Governance for Generative AI and enhance your career with our specialized course offered by Udemy. Discover how to effectively construct a GenAI Governance Program and ensure your professional growth. Delve into topics including AI ethics, data privacy, regulatory compliance, and corporate governance to exp.
provider Udemy
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California Institute of Technology Udemy

Generative AI for upskilling and learning initiatives

Embark on a transformative journey to master Generative AI for enhancing your skills and learning initiatives. This comprehensive course offered by Udemy will equip you with the knowledge to effectively integrate Generative AI into learning and development. Perfect for those seeking to advance in the fields of machine learning, educational tec.
provider Udemy
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California Institute of Technology Coursera

Generative AI for Educators

Over half of higher education institutes have already explored the potential of generative AI in teaching, revolutionizing learning experiences according to Gartner. The Generative AI for Educators specialization offers educators and administrators the skills to harness gen AI effectively, creating future-ready education solutions. Within.
provider Coursera
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California Institute of Technology Imperial College London

Mastering AI Leadership: Advanced Certificate in Prompt Engineering and Professional Ethics

In today's AI-driven world, technical prowess alone isn't enough. True mastery requires a deep understanding of both the tools and their societal implications. This unique two-course program integrates Prompt Engineering for ChatGPT and AI Ethics for Professionals, providing you with the skills to excel in generative AI while tackling its ethica.
provider edX
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California Institute of Technology Udemy

GenAI and Cybersecurity – Frameworks and Best Practices 2025

Embark on a comprehensive journey into the world of GenAI and cybersecurity with our upcoming course, "GenAI and Cybersecurity – Frameworks and Best Practices 2025." Gain insights into the adoption of GenAI technologies within enterprises, guided by proven tools and frameworks. This course offers an in-depth exploration of real-world case stu.
provider Udemy
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California Institute of Technology Southern New Hampshire University

Generative AI Data Analyst

Advance your career with the Generative AI Data Analyst Specialization, offered by Southern New Hampshire University through Coursera. This course equips you to harness the power of ChatGPT for effective data analysis, enabling you to automate repetitive tasks and rapidly unveil data-driven insights. Immerse yourself in the world of spreadsheet.
provider Coursera
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California Institute of Technology Southern New Hampshire University

AI Agent Developer

Embark on a transformative journey with the AI Agent Developer Specialization offered by Southern New Hampshire University on Coursera. This comprehensive program equips you with hands-on experience in crafting AI agents through Python programming, OpenAI tools, and innovative prompt engineering methodologies. Delve into designing sophistic.
provider Coursera
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California Institute of Technology Southern New Hampshire University

Chat with Your Data: Generative AI-Powered SQL Data Analysis

Imagine transforming your database interactions into a conversational partner that not only answers your questions but also visualizes insights, uncovers hidden patterns, and assists in refining your queries. This is not science fiction—it's the application of Generative AI to SQL and data analysis. Traditional database interaction typica.
provider Coursera

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!