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Generative AI courses

541 Courses

California Institute of Technology LinkedIn Learning

AI-Driven Project Management: Techniques and Insights with Ricardo Vargas

AI-Driven Project Management: Techniques and Insights with Ricardo Vargas | LinkedIn Learning Event: AI-Driven Project Management: Techniques and Insights with Ricardo Vargas Description: Dive into this engaging interview with project management expert Ricardo Vargas and discover a wealth of advanced techniques for integrat.
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California Institute of Technology LinkedIn Learning

How to Keep Your Team on the Bleeding Edge of AI Innovation

How to Keep Your Team on the Bleeding Edge of AI Innovation Discover cutting-edge strategies to keep your team at the forefront of AI innovations. This course, offered by LinkedIn Learning, enables you to unlock the full potential of AI within your organization. Dive deep into practical and ethical considerations, learning from top leaders in th.
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California Institute of Technology LinkedIn Learning

AI Productivity Hacks to Reimagine Your Workday and Career

AI Productivity Hacks to Reimagine Your Workday and Career Discover the power of generative AI and how it can revolutionize your workday and career. In this LinkedIn Learning course, you'll uncover various AI productivity hacks designed to boost your efficiency and effectiveness. Enroll today and start transforming your professional life..
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California Institute of Technology AWS Skill Builder

AWS Flash - Generative AI in Action: Real-World Use Cases

AWS Flash - Generative AI in Action: Real-World Use Cases This course provides an overview of generative AI use cases and the business value they offer. It includes real-world applications for generative AI across major industries and case studies. Course level: Fundamental Duration: 75 min Activities This course includes presentations, r.
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California Institute of Technology AWS Skill Builder

AWS SimuLearn: Build Apps Faster with Amazon CodeWhisperer

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice. It helps individuals learn how to translate business problems into technical solutions through simulated dialogues between a customer and a technology professional. In this AWS SimuLearn assignment, you will review a real-world sce.
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California Institute of Technology AWS Skill Builder

AWS SimuLearn: Chatbots with a Large Language Model (LLM)

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialogue between a customer and a technology professional. In this AWS SimuLearn assignment, you will review a real-world.
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California Institute of Technology AWS Skill Builder

AWS SimuLearn: Set Up an ML Environment

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional. AWS SimuLearn: Set Up an ML Environment In this AWS SimuLearn assi.
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California Institute of Technology Pluralsight

AI-driven Competitive Analysis

AI-driven Competitive Analysis This course will teach you how to conduct competitive analysis using AI tools and help you prepare a report that shows you how they compare to your product. As product managers or designers, competitive analysis is a huge advantage to understanding how your product or business stacks against the comp.
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California Institute of Technology AWS Skill Builder

AWS Flash - Chalk Talks: Amazon Q

AWS Flash - Chalk Talks: Amazon Q This course provides an overview of the impact of generative AI, as well as common risks and challenges in implementing GenAI applications. The course then dives into Amazon Q and walks through its core components. Course level: Intermediate Duration: 45 minutes This course includes slide content and demo.
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California Institute of Technology LinkedIn Learning

Get Ready for Generative AI

Get Ready for Generative AI Course Title: Get Ready for Generative AI Description: Dive into the world of generative AI with this insightful course. Learn the fundamental concepts, explore new capabilities, and understand the emerging issues in the field of artificial intelligence. Provider: LinkedIn Learning Catego.
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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!