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Generative AI courses

542 Courses

California Institute of Technology Google Cloud Skills Boost

Introduction to Generative AI Studio - Locales

Embark on a journey to master Generative AI Studio with our specially tailored course, "Introduction to Generative AI Studio - Locales," offered exclusively for non-English learners. If English is your primary language, please consider enrolling in our "Introduction to Generative AI Studio" course instead. Through this comprehensive program, you wi.
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provider Google Cloud Skills Boost
pricing Free Online Course
duration 8 hours
sessions On-Demand
California Institute of Technology Codecademy

Prompt Engineering for Software Engineers

Title: Prompt Engineering for Software Engineers Description: Elevate your coding with AI tools in our comprehensive course on prompt engineering! Perfect for software engineers looking to harness the power of AI, this course introduces the fundamentals of prompt engineering, teaching you to craft effective prompts for various programming tasks. Ma.
provider Codecademy
pricing Free Trial Available
duration 2 hours
sessions On-Demand
California Institute of Technology Udemy

ChatGPT, Midjourney, Firefly, Bard, DALL-E, AI Crash Course

Title: ChatGPT, Midjourney, Firefly, Bard, DALL-E, AI Crash Course Description: Master essential AI tools swiftly! Join our 15-minute tutorial and start leveraging capabilities of ChatGPT, Midjourney, Google Bard, Adobe Firefly, and DALL-E today. Enroll now and transform your digital skills! University: N/A Provider: Udemy Categories: Generative AI.
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provider Udemy
pricing Free Online Course
duration 1 hour 53 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning & Generative AI for CXOs & Sr. Managers

Event: Machine Learning & Generative AI for CXOs & Sr. Managers Unlock the power of AI for top-level executives with this comprehensive course tailored for CXOs and senior managers. Explore key aspects such as AI readiness assessment, the demystification of Artificial Intelligence principles, and practical insights through 8 detailed case studies i.
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provider Udemy
pricing Paid Course
duration 5 hours 8 minutes
sessions On-Demand
California Institute of Technology AWS Skill Builder

Building Language Models on AWS

Amazon SageMaker empowers data scientists to efficiently prepare, build, train, deploy, and monitor machine learning models. It offers a robust suite of capabilities, including the utilization of distributed training libraries, open-source models, and foundational models. Particularly, this advanced 5.5-hour course is designed for experienced data.
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provider AWS Skill Builder
pricing Free Certificate
duration 5-6 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Cloud for CHROs

Discover the transformative potential of HR in the digital era with Cloud for CHROs, an essential course provided by AWS Skill Builder. This fundamental course, spanning 50 minutes, delves into human resource strategies critical for successful digital transformations. The course illuminates the pivotal role of people in driving transformation succe.
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provider AWS Skill Builder
pricing Free Certificate
duration 50 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Getting Started on Prompt Engineering with Generative AI

Title: Getting Started on Prompt Engineering with Generative AI Description: Discover the power of prompt engineering in our new course provided by Pluralsight. Generative AI is reshaping possibilities across sectors with its uncanny ability to generate human-like text. However, the effectiveness of generative AI like ChatGPT heavily relies on the.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 14 minutes
sessions On-Demand
California Institute of Technology Udemy

Become an AI-Powered Engineer: ChatGPT, Github Copilot

Course Title: Become an AI-Powered Engineer: ChatGPT, GitHub Copilot Description: Enroll in our extensive online course and master the innovative tools like ChatGPT, GitHub Copilot, and Copilot Labs. Learn to accelerate your coding skills and develop software twice as fast. This course is ideal for those looking to enhance their programming abiliti.
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provider Udemy
pricing Free Online Course
duration 1 hour 42 minutes
sessions On-Demand
California Institute of Technology Google Cloud Skills Boost

Introduction to AI and Machine Learning on Google Cloud - Locales

Course Overview: Dive into the world of artificial intelligence (AI) and machine learning (ML) through the "Introduction to AI and Machine Machine Learning on Google Cloud - Locales" course, specially tailored for non-English speakers. This program is a segment of the comprehensive offerings on Google Cloud designed to guide learners through the AI.
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provider Google Cloud Skills Boost
pricing Paid Course
duration 16 hours
sessions On-Demand
California Institute of Technology CreativeLive

10x Your Marketing Efforts with ChatGPT, Midjourney, and More

AFTER THIS CLASS YOU’LL BE ABLE TO: Leverage Generative AI tools like ChatGPT to create high-quality, SEO-optimized content for marketing campaigns. Craft effective prompts for AI chatbots, ensuring precise and relevant responses tailored to specific business needs. Navigate and integrate third-party plugins with ChatGPT to extend its capabilities.
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provider CreativeLive
pricing $99.00
duration 53 minutes
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!