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Generative AI courses

542 Courses

California Institute of Technology

Crafting Personalized Content with Gen AI: Create a Campaign

Crafting Personalized Content with Gen AI: Create a Campaign This Guided Project, Crafting Personalized Content: Create a Campaign, is perfect for marketers eager to delve into the world of AI. This project-based course teaches you the art of prompt engineering to synthesize data, create chains of prompts for specific content,.
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California Institute of Technology Coursera

Generative AI: Elevate your Software Development Career

Generative AI: Elevate your Software Development Career Generative AI is transforming the field of Software Engineering, making it a crucial skill for developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques.
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provider Coursera
pricing Free Online Course (Audit)
duration 16 hours
sessions On-Demand
California Institute of Technology Stanford University

The AI Awakening: Implications for the Economy and Society

The AI Awakening: Implications for the Economy and Society This course explores how advances in artificial intelligence are poised to transform our economy and society in the near future. Gain insights from esteemed AI researchers and industry leaders in technology, economics, and business. The curriculum delves into the technological foundation.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand
California Institute of Technology Coursera

Navigating Generative AI: A CEO Playbook

Navigating Generative AI: A CEO Playbook This is a shortened, executive summary of our comprehensive program, Navigating Generative for Leaders. Start your journey in this accelerated 4-hour course. If you need to go deeper your progress will carry over into our longer program. Created by Coursera's CEO, this course is your quick-start guide.
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provider Coursera
pricing Free Online Course (Audit)
duration 17 hours
sessions On-Demand
California Institute of Technology Coursera  Specialization

Generative AI for Data Scientists

Generative AI for Data Scientists Generative AI knowledge is now an essential data science skill. According to Gartner, "By 2026, 20% of top data science teams will have rebranded as Cognitive Science or Science consultancies, increasing diversity in staff skills by 800%." With the industry trends in mind, IBM brings you this specialization to he.
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provider Coursera  Specialization
pricing Paid Course
California Institute of Technology Coursera  Specialization

Generative AI for Software Developers

Generative AI for Software Developers With generative AI, a new technology era has begun. Software developers can leverage this revolutionary technology to write high-quality code with fewer bugs, increasing their overall effectiveness and efficiency. This makes generative AI an essential skill for software engineers. This IBM specialization of.
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provider Coursera  Specialization
pricing Paid Course
California Institute of Technology Coursera

Generative AI: Business Transformation and Career Growth

Generative AI: Business Transformation and Career Growth In this short course, uncover the transformative power of generative AI on both businesses and individual careers. Ideal for anyone eager to learn about the business and career opportunities facilitated by generative AI, this course is tailored for a diverse audience—including professionals.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand
California Institute of Technology Udacity

Building Generative AI Solutions with Vector Databases

Building Generative AI Solutions with Vector Databases | Udacity Course Title: Building Generative AI Solutions with Vector Databases Description: This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing. University: Udacity Categories: Generati.
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provider Udacity
pricing Paid Course
duration 2 hours
sessions On-Demand
California Institute of Technology University of California, Irvine

IA generativa en el aula

IA generativa en el aula | University of California, Irvine | Coursera En este curso, conocerás el concepto, utilidad, retos y posibilidades educativas de la IA generativa. A través de experiencias directas, lecturas y discusiones, te propondrás aplicaciones útiles para el aprendizaje y la enseñanza. El curso también aborda las impli.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand
California Institute of Technology Coursera

Automated Report Generation with Generative AI

Automated Report Generation with Generative AI In today's data-driven world, generating reports efficiently is a valuable skill for professionals across various industries. This course introduces beginners to the world of automated report generation using AI-powered tools and techniques. You will learn how to leverage the capabilities of artific.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand

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!