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Generative AI courses

1062 Courses

California Institute of Technology Udemy

GenerativeAI: GPT, Function calling, Whisper, LangChain

GenerativeAI: GPT, Function Calling, Whisper, LangChain - Hands-On Projects Discover the power of Generative AI with our comprehensive course focusing on GPT, Function Calling, Whisper, and LangChain. Dive into hands-on projects using JavaScript and Python that will kickstart your journey in Conversational AI, Speech-to-text, Function.
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California Institute of Technology Udemy

Intro to Data & AI Ethics

Embark on an enlightening journey into the world of data and AI ethics with our comprehensive online course. Taught by experts on Udemy, this course immerses you in the intricate ethical dilemmas posed by the rise of artificial intelligence and extensive data collection. By enrolling, you'll gain insights into: The foundational princi.
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California Institute of Technology Udemy

Fundamentals of Financial Automation

Fundamentals of Financial Automation - Udemy Discover the essential elements of automating financial processes in the Fundamentals of Financial Automation course on Udemy. This course will provide you with insights and techniques to effectively streamline financial tasks using diverse technological solutions. Whether you're.
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California Institute of Technology Udemy

Complete Generative AI : Build Pro Web, Mobile & SaaS Apps

Unlock the potential of Generative AI by creating advanced SaaS applications for web and mobile platforms without the need for coding skills. This comprehensive course, available on Udemy, guides you through the utilization of essential tools such as ChatGPT, MongoDB, Firebase, and Stripe. Perfect for aspiring developers, this program covers a.
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California Institute of Technology Udemy

Zero to Hero in LangChain: Build GenAI apps using LangChain

Embark on a transformative journey from Zero to Hero in LangChain and learn to build cutting-edge Generative AI applications. This comprehensive course on Udemy empowers you to explore all the unique features of LangChain. Dive into modules focusing on Memory, Retrieval Augmented Generation (RAG), Tools, and Agents, all designed to enhance yo.
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California Institute of Technology Udemy

Generative AI For Leaders: Certified Course

Provider: Udemy Unlock the potential of AI in leadership roles with our comprehensive certified course, "Generative AI For Leaders." Designed specifically for those in positions of influence, this course offers valuable insights into how AI can drive digital transformation, enhance leadership capabilities, and promote change management. Availabl.
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California Institute of Technology Udemy

Introduction to Financial Modeling with Gen AI

Join the "Introduction to Financial Modeling with Gen AI" course on Udemy and embark on a journey to master the art of financial modeling using cutting-edge generative AI tools like ChatGPT. This course offers a deep dive into the essential aspects of financial analysis, covering everything from researching financial data to building complex mo.
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California Institute of Technology Udemy

ChatGPT & Dall•E: Sell Your Creative Thinking with AI

Join the Udemy course on ChatGPT & Dall•E to unlock the creative potential of generative AI. Gain valuable insights into the ethical and legal challenges of AI, including bias and plagiarism. Perfect for those interested in artificial intelligence, content creation, copyright law, and professional ethics. Provider: Udemy Categorie.
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California Institute of Technology Udemy

Ollama - Mastering Generative AI and Beyond

Embrace the future of technology with "Ollama - Mastering Generative AI and Beyond." This course offered by Udemy enables you to unlock new potential in the realm of Generative AI. Dive deep into the creation of a Spring REST API, learn to execute live function calls seamlessly, and enhance your skills by integrating with OpenWebUI. Our comp.
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California Institute of Technology Udemy

Generative AI Architectures with LLM, Prompt, RAG, Vector DB

Generative AI Architectures with LLM: Design & Integration Embark on a transformative learning journey with our comprehensive course, "Generative AI Architectures with LLM, Prompt, RAG, Vector DB." Designed for aspiring AI professionals and enthusiasts, this course empowers you to seamlessly weave AI-powered S/LLMs into enterprise applications..
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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!