This DeepLearning course is at the intermediate level. The principles of Generative Adversarial Networks (GANs) are introduced by AI. Students learn how generators and discriminators function, construct their first GAN with PyTorch, create Deep Convolutional GANs (DCGANs), comprehend methods for enhancing GAN training, and make conditional GANs that can produce [...]
Large Language Models (LLMs), prompt engineering, responsible AI, AI application lifecycle, vector databases, Retrieval-Augmented Generation (RAG), AI agents, and creating useful Generative AI applications using Python and TypeScript are just a few of the fundamental ideas covered in this approachable course. It consists of real projects, code examples, and interactive [...]
The foundations of generative artificial intelligence are covered in the beginner-friendly course Intro to Generative AI. In addition to covering key ideas like large language models (LLMs), rapid engineering, embeddings, AI agents, and real-world GenAI applications, it describes how generative AI models produce new content like text, graphics, and code. [...]
Large Language Models (LLMs) and Generative AI are introduced in this free, self-paced course for beginners. Learners learn the role of Lakehouse AI, comprehend LLM applications, investigate key legal, ethical, and risk issues related to generative AI, and investigate how enterprises can successfully implement GenAI. It doesn’t require any prior [...]
Amazon Bedrock, a fully managed service for creating and growing generative AI applications utilizing foundation models, is presented in this introductory AWS course. Students will learn how Amazon Bedrock functions, examine its advantages and typical applications, and receive a practical demonstration of how to utilize the Amazon Bedrock console to [...]
Large language models (LLMs), responsible AI, prompt engineering, and how to develop and implement generative AI solutions using Google Cloud tools like Vertex AI are all covered in the Generative AI Learning Path, an extensive Google Cloud training program. For both novices and technical experts, the path consists of a [...]
Large language models (LLMs), responsible AI, prompt engineering, and how to develop and implement generative AI solutions using Google Cloud tools like Vertex AI are all covered in the Generative AI Learning Path, an extensive Google Cloud training program. For both novices and technical experts, the path consists of a [...]
A beginner-friendly, no-code course that covers the essential ideas of Generative AI. Students investigate the workings of generative AI, its practical uses, and the main obstacles and possibilities of implementing GenAI technology. For professionals, students, and anyone just beginning their journey with generative AI, it is perfect. Provider/Creator: NVIDIAPlatform: NVIDIA [...]
AWS and DeepLearning developed an intermediate-level course called Generative AI using Large Language Models (LLMs).AI that offers a useful comprehension of the development, training, optimization, assessment, and implementation of generative AI systems. The entire LLM lifecycle is covered in the course, covering transformer architecture, pre-training, model evaluation, reinforcement learning from [...]
The foundations of generative AI are covered in this approachable course, along with how it varies from standard AI, its potential, and practical uses in a variety of sectors, including healthcare, finance, education, IT, and entertainment. Along with practical exercises to practice AI-powered content creation, learners examine well-known generative AI [...]