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Generative AI courses

1062 Courses

California Institute of Technology Udemy

AI-900: Microsoft Certified: Azure AI Fundamentals -Dec 2024

Get ready to pass the AI-900: Microsoft Certified Azure AI Fundamentals exam with ease. This comprehensive course on Udemy guides you through essential AI concepts, tailored for both beginners and professionals eager to master Azure AI. Simplify your learning journey by completing the entire course in just one day. The course includes compl.
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California Institute of Technology Udemy

From Basics to Advanced: Data Analysis Using ChatGPT

Discover the cutting-edge capabilities of Generative AI in transforming your data analysis skills from basic to advanced levels with this comprehensive course. Harness the potential of ChatGPT to simplify complex data, perform deep analyses, and create stunning visualizations that enhance your data-driven decision-making process. Whether you're.
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California Institute of Technology Udemy

Salesforce Certified AI Specialist Course and Practice Test

Enhance your skills in AI with the Salesforce Certified AI Specialist Course and Practice Test. Offered by Udemy, this course provides an in-depth curriculum designed to help you succeed in the Salesforce Certified AI Specialist Exam. Experience timed practice tests that cover every topic you need, including Agentforce, to ensure your readin.
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California Institute of Technology Udemy

Generative AI for Leaders: Strategy & Innovation

Elevate your leadership skills with the 'Generative AI for Leaders: Strategy & Innovation' course on Udemy. Designed for visionaries, this course equips you with insights into artificial intelligence, ethical business practices, and transformative strategies to drive innovation and change within organizations. Course Highlights: Deep dive in.
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California Institute of Technology Udemy

Complete Gemini Course: Build GenAI Apps with Streamlit

Unlock the potential of Generative AI by mastering the art of creating dynamic applications with the Complete Gemini Course. This course offers an immersive learning experience empowering you to construct interactive GenAI applications utilizing cutting-edge technologies such as Gemini, Python, and Streamlit alongside the innovative Google AI St.
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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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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!