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Generative AI courses

911 Courses

California Institute of Technology Udemy

PowerPoint Business Presentations with ChatGPT Generative AI

PowerPoint Business Presentations with ChatGPT Generative AI Discover the power of ChatGPT and Generative AI in crafting compelling Microsoft PowerPoint presentations and business pitch decks. This comprehensive course on Udemy offers insights into using cutting-edge AI technology to elevate your presentation skills,.
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California Institute of Technology Udemy

AI for Business Leaders - AI Innovation in 10 Use Cases

Delve into the world of Artificial Intelligence with our comprehensive course, "AI for Business Leaders - AI Innovation in 10 Use Cases." This course is designed to empower business leaders to identify and harness the opportunities presented by Generative AI across various industries. Understand the risks involved and learn strategies to leve.
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California Institute of Technology Udemy

Generative AI application design and development

Unlock the power of Generative AI without needing prior AI/ML experience. Join our comprehensive course offered by Udemy to learn how to design and develop intelligent applications. Explore a wide range of topics including LangChain, Vector Databases, and more. This course is perfect for anyone looking to innovate in the world of AI. Categor.
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California Institute of Technology Udemy

80 Days of GenAI Mastery: Elevate Your Work & Life with AI

Udemy Embark on a transformative journey with the "80 Days of GenAI Mastery" course. Discover how artificial intelligence tools like ChatGPT, Midjourney, DALL-E, and DeepSeek can revolutionize both your professional and personal life. This comprehensive course, offered by Udemy, provides in-depth insights into leveraging AI for enhanced efficien.
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California Institute of Technology Udemy

Master Python & Generative AI for Advanced Analytics

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California Institute of Technology Udemy

GenAI For Finance & Accounting : Complete Masterclass 2025

Join the GenAI For Finance & Accounting: Complete Masterclass 2025 to revolutionize your accounting and finance skills. This comprehensive course focuses on integrating Generative AI technologies to enhance productivity and streamline your workflows. Offered by Udemy, this masterclass covers a wide array of topics, including: Generative AI in.
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California Institute of Technology Udemy

GenAI Governance

Immerse yourself in the world of Generative AI Governance with this comprehensive course aimed at equipping you with essential skills and knowledge. Dive deep into the frameworks that shape the landscape of responsible AI implementation, understand risk management techniques, and navigate the complexities of compliance. Offered by Udemy, thi.
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California Institute of Technology Coursera

(KK) Generative AI with Large Language Models

Coursera Dive into the fundamentals of generative AI with our comprehensive course on Large Language Models (LLMs). This program is designed to equip learners with essential knowledge to deploy generative AI in practical scenarios. Understand the lifecycle of LLM-based generative AI and the key steps involved, including data gathering, model.
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California Institute of Technology Coursera

GenAI for Compensation, Benefits and Payroll

In an era of digital transformation in HR, the course "GenAI for Compensation, Benefits, and Payroll" offers a thorough guide to leveraging AI for improving these key functions. Tailored for both novices and intermediate professionals, this course emphasizes a hands-on approach to integrating AI into payroll automation and benefits personaliz.
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California Institute of Technology Coursera

GenAI for Clinical Documentation

Join the "GenAI for Clinical Documentation" course and explore how Generative AI can revolutionize your healthcare documentation process. This course is designed for healthcare professionals, administrators, and IT staff, offering valuable insights into incorporating AI to optimize patient notes and reduce documentation errors. Begin by und.
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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!