NVIDIA Provides AI Base Free Courses
1. Generative AI Explained
Description: This course offered by NVIDIA explains Generative AI, a type of AI model that generates new data samples from scratch. It covers concepts such as generative adversarial networks (GANs) and variational autoencoders (VAEs).
Website Link: Generative AI Explained
2. Building a Brain in 10 Minutes
Description: This course focuses on understanding the basics of neural networks, which are models inspired by the human brain. It aims to demystify the concepts behind neural networks and how they learn.
Website Link: Building a Brain in 10 Minutes
3. Augment Your LLM with Retrieved Augmented Generation
Description: This course delves into the concept of Retrieved Augmented Generation (RAG) and how it can be used to enhance Large Language Models (LLMs) such as GPT-3. It explores techniques to improve language understanding and generation.
Website Link: Augment Your LLM with Retrieved Augmented Generation
4. AI in the Data Center
Description: This course, available on Coursera, provides an introduction to AI in the context of data centers. It covers topics such as AI infrastructure, data center design considerations for AI workloads, and the role of GPUs in accelerating AI.
Website Link: AI in the Data Center
5. Accelerate Data Science Workflows with Zero Code Changes
Description: This course focuses on leveraging NVIDIA RAPIDS, a suite of open-source software libraries, to accelerate data science workflows without requiring changes to existing code. It covers GPU-accelerated data processing and machine learning.
Website Link: Accelerate Data Science Workflows with Zero Code Changes
6. Mastering Recommender Systems
Description: This course, part of the YouTube Grandmaster Series, focuses on mastering recommender systems. It covers various algorithms and techniques used in building effective recommendation engines.
Website Link: Mastering Recommender Systems
7. Networking Introduction
Description: This course, available on Coursera, provides an introduction to networking fundamentals. It covers topics such as network architecture, protocols, and basic troubleshooting.
Website Link: Networking Introduction
8. Building RAG Agents with LLMs
Description: This course focuses on building RAG (Retrieved Augmented Generation) agents using Large Language Models (LLMs). It explores techniques to improve language understanding and generation for various applications.
Website Link: Building RAG Agents with LLMs
These courses cover a range of topics related to AI, data science, networking, and recommender systems, offering valuable insights and skills for learners interested in these fields.
