Generative AI courses

857 Courses

LLM Mastery: Hands-on Code, Align and Master LLMs

Course Title: LLM Mastery: Hands-on Code, Align and Master LLMs Provided by: Udemy Course Overview: Embark on a comprehensive journey into the world of Large Language Models (LLMs) with our hands-on course. Designed for deep learning enthusiasts and professionals, this course demystifies the process of coding and aligning LLMs from the ground u.
course image

LLM Engineering: Master AI & Large Language Models (LLMs)

Embark on a groundbreaking journey into the world of AI with our LLM Engineering course. Designed by experts, this course equips you with the skills necessary to become a proficient LLM Engineer in just 8 weeks. Throughout the course, you'll build and deploy eight innovative LLM applications, gaining hands-on experience that solidifies your.
course image

Salesforce AI Specialist Certification

Advance your career by obtaining the Salesforce AI Specialist Certification. Master the latest AI technologies and integrate them seamlessly into Salesforce for outstanding customer relationship management. Join this comprehensive course provided by Udemy and gain the skills needed to excel in AI-driven business environments. Categorie.
course image

Generative AI in E-Commerce and Digital Marketing | Gen AI

Learn More and Enroll Now Unleash the power of Generative AI in your digital marketing efforts with our comprehensive course available on Udemy. Dive into advanced topics such as eCommerce integration, content generation, product visualization, and search engine optimization. Explore how automation and AI-driven bots can streamline your ma.
course image

GenAI Fundamentals for UX Designers + Researchers

Elevate your skills in UX design by understanding how to leverage Generative AI (GenAI) for superior user interfaces and product innovation. This comprehensive course on Udemy dives into the core components that will prepare you to lead AI-driven projects effectively. Designed for UX designers and researchers, the course also covers ethic.
course image

Complete AWS Certified AI Practitioner – AIF-C01 [NEW]

Complete AWS Certified AI Practitioner – AIF-C01 [NEW] Embark on the ultimate learning journey with the "Complete AWS Certified AI Practitioner – AIF-C01" course. Designed to ensure you pass the exam with flying colors, this course offers a full practice exam for thorough exam readiness. Gain practical, hands-on experience in Artificial Intel.
course image

The Complete Salesforce Certified AI Associate Exam Course

Embark on your journey to mastering Salesforce AI with our expertly designed course tailored to equip you for the Salesforce Certified AI Associate Exam. This comprehensive program covers all essential areas to ensure you attain the first AI Certification from Salesforce successfully. Discover the integration of AI in business intelligence and.
course image

Accelerated Software Engineering Chat GPT | Google Gemini

Experience the power of Generative AI in Software Engineering with our course, "Accelerated Software Engineering Chat GPT | Google Gemini." Dive into practical examples and explore exciting use cases that envision the future of software development. Offered by Udemy, this course is perfect for those interested in Generative AI, Chat.
course image

LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps|| Gen AI

LangChain MasterClass- OpenAI LLAMA 2 LLM AI Apps Join this comprehensive course to discover the real-world applications of cutting-edge technologies such as LangChain, Pinecone, OpenAI, and LLAMA 2. Harness the power of Generative AI with Hugging Face to build innovative AI apps. University: Ud.
course image

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!