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Generative AI courses

755 Courses

California Institute of Technology Udemy

Generative AI For Managers and Leaders

Generative AI For Managers and Leaders | Udemy Course Elevate your leadership skills by delving into the world of Generative AI with our specialized Udemy course designed for managers and leaders. Gain valuable insights on integrating AI into your business processes, addressing the inherent challenges of Generative AI, and managing.
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California Institute of Technology Udemy

Generative AI for Leaders & Business Professionals

Udemy Course: Generative AI for Leaders & Business Professionals Elevate your business acumen with the 'Generative AI for Leaders & Business Professionals' course. Offered by Udemy, this program is tailored for leaders aiming to harness the power of modern AI technologies. Equip yourself with cutting-edge knowledge in artificial intelligence,.
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California Institute of Technology Udemy

NVIDIA-Certified Associate - Generative AI LLMs (NCA-GENL)

Udemy Elevate your expertise in Generative AI with the NVIDIA-Certified Associate program. This specialized course prepares you for the NCA-GENL exam, focusing on key areas such as Python, Machine Learning, Deep Learning, Neural Networks, and more. Discover the potential of Generative AI, master Prompt Engineering, and explore the nuances of.
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California Institute of Technology Udemy

ChatGPT Generative AI For Business Leaders | Gen AI Primer

Embark on a transformative journey with our ChatGPT Generative AI For Business Leaders course. Specially designed for forward-thinking business leaders, this course equips you with the knowledge to leverage Generative AI effectively. Within a concise 2-hour session, delve into the foundational concepts of AI, focusing on practical business a.
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California Institute of Technology Udemy

ChatGPT-4 Prompt Engineering: ChatGPT, Generative AI & LLM

Unlock unparalleled potential in productivity and innovation with our ChatGPT-4 Prompt Engineering Masterclass. Designed for aspiring AI enthusiasts, this course empowers you with hands-on skills in utilizing ChatGPT and Generative AI. Whether you're looking to streamline workflows or ignite creativity, our comprehensive curriculum covers cruc.
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California Institute of Technology Udemy

Generative AI for Java Developers with Azure OpenAI ChatGPT

Embark on an exciting journey to advance your skills in AI with the course 'Generative AI for Java Developers with Azure OpenAI ChatGPT'. This program empowers developers to harness the potential of OpenAI's cutting-edge models within the secure and robust environment of Azure Cloud.  This course is offered by Udemy and falls under several cat.
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California Institute of Technology Udemy

Mastering Generative AI for Developer Productivity

Unlock your potential as a developer with Udemy's course on Mastering Generative AI for Developer Productivity. This comprehensive course is designed to enhance your programming efficiency through the application of cutting-edge generative AI techniques. Dive deep into the latest advancements, including real-time code generation, error dete.
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California Institute of Technology Udemy

Generative AI for Data Engineering and Data Professionals

Udemy Unlock the potential of Generative AI in the realm of data engineering and professional data analysis. This comprehensive course is tailored for data professionals, including Engineers, Analysts, and Scientists. Elevate your expertise and efficiency with practical AI applications. Focusing on the fast-paced world of data, this course prov.
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California Institute of Technology Udemy

ServiceNow GenAI: Leveraging Next-Gen Solutions

Discover how to transform your operations with ServiceNow's GenAI course. Dive into the world of innovative Generative AI tools such as ChatGPT, designed to enhance efficiency and intelligence in your workflows. Offered by Udemy, this comprehensive course covers various aspects of artificial intelligence, machine learning, and knowledge manag.
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California Institute of Technology Udemy

Build Conversational AI using GPT-4

Embark on a journey to master Conversational AI with GPT-4 in this comprehensive course offered by Udemy. Dive into the world of Generative AI and learn how to craft engaging and intuitive user dialogues that captivate and serve your audience effectively. This course is perfect for enthusiasts aiming to harness the advanced capabilities of AI i.
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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!