Generative AI courses

542 Courses

Generative AI for Executives (Vietnamese)

Khóa học "Generative AI for Executives (Vietnamese)" mang lại cái nhìn tổng quan sâu sắc về AI tạo sinh cho các nhà lãnh đạo. Nội dung khoá học bao gồm giới thiệu về AI tạo sinh, cách nó có thể giải quyết các thách thức cho nhà điều hành và đóng góp như thế nào vào tăng trưởng kinh doanh, cũng như tiềm năng của nó trong việc cách mạng hóa nhiều ngà.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand

Intro to ChatGPT and Generative AI

Unlock the potential of AI in your career with the "Intro to ChatGPT and Generative AI" course available on Udemy. Dive deep into the world of Generative AI and discover how using ChatGPT can enhance your productivity to new heights. This course serves as the perfect gateway for both beginners and seasoned professionals looking to get acquainted wi.
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provider Udemy
pricing Paid Course
duration 1 hour 7 minutes
sessions On-Demand

Optimizing Code with Generative AI Case Study

Unlock the power of generative AI to enhance code efficiency with our comprehensive case study, "Optimizing Code with Generative AI". Presented by Codecademy, this hands-on experience is designed to equip you with the skills to improve code readability, maintainability, testability, and resource efficiency through the innovative use of ChatGPT. Emb.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand

Intro to AI Strategy

Intro to AI Strategy Discover the fundamentals of utilizing Artificial Intelligence responsibly with our introductory course. As Generative AI technology continues to revolutionize various industries, it's crucial to understand and navigate the inherent risks and challenges that come with AI implementations. This course, offered by Codecademy, dive.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand

Creating Marketing Assets with Generative AI Case Study

Discover the power of Generative AI in marketing with our comprehensive case study, "Creating Marketing Assets with Generative AI." This hands-on guide provided by Codecademy dives deep into utilizing ChatGPT and DALL-E 2 for crafting a wide range of marketing materials, from compelling product descriptions to eye-catching company logos. Through th.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand

Unit Testing with Generative AI Case Study

Title: Unit Testing with Generative AI Case Study Description: Dive into an enlightening case study on leveraging ChatGPT for unit testing in Python. This hands-on guide will walk you through the process of utilizing generative AI, specifically ChatGPT, to craft a suite of unit tests. Perfect for Developers looking to sharpen their skills, this cas.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand

Learn the Role and Impact of Generative AI and ChatGPT

Embark on an enlightening journey to discover the significant role and impact of generative AI and ChatGPT in our future. This comprehensive course, developed with the help of multiple AI technologies, offers in-depth insights and forward-thinking discussions on how AI is poised to transform various sectors, including high technology, education, an.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand

Language Models in Python: Generative Chatbots

Embark on a journey to master the art of crafting AI chatbots with our advanced course, "Language Models in Python: Generative Chatbots". This comprehensive course is designed to equip you with the skills to create sophisticated generative chatbots using the power of deep learning and Python's seq2seq models. By enrolling, you'll dive deep into the.
provider Codecademy
pricing Free Trial Available
duration 1 hour
sessions On-Demand

Data Visualization with OpenAI API: Generate code with GenAI

Title: Data Visualization with OpenAI API: Generate code with GenAI Description: Dive into the world of generative AI with our project-based course on Data Visualization with the OpenAI API. Over a span of 2 hours, you'll embark on a journey to master the art of generating Python code for data analysis and visualization using GPT-4. This course is.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Google Bard for Beginners: Text Generation with Prompts

Title: Google Bard for Beginners: Text Generation with Prompts Description: Delve into the world of generative AI with our 1-hour project-based course on text generation, utilizing Google Bard, MakerSuite, and the PaLM API within Google Colab. This course is designed to introduce you to the integration of PaLM with Bard and MakerSuite through a ser.
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provider Coursera
pricing Paid Course
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!