Artificial Intelligence (AI) Resources and Tutorials

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Artificial Intelligence (AI) is reshaping our world in ways once thought impossible. From autonomous vehicles navigating our streets to healthcare systems tailored to our individual needs, AI is unlocking boundless possibilities that could redefine the very fabric of our daily lives. The future is here, and its potential to transform how we live, work, and connect is limitless.

 What is Artificial Intelligence? by Simplilearn is an introduction to artificial intelligence that deals with the fundamentals of artificial intelligence and its critical technicalities. Artificial Intelligence In five Minutes tutorial video will help you enhance your knowledge of Artificial Intelligence. This video on AI Explained by Simplilearn covers the most Critical AI Concepts in the simplest ways. 

Artificial Intelligence (AI) represents great opportunity, but also significant disruption for modern societies and cultures. This free online short course investigates the historical, ethical, and social issues surrounding this technology. It is aimed at people interested in understanding where this technology has come from, the kinds of opportunities it brings to modern and future societies, but also the risks it presents, and what steps we might take to avoid such risks.

Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing. 

Chatbots are AI-powered tools designed to simulate human conversation. They work by processing user input (text or voice) and responding with pre-defined or dynamically generated responses. Some chatbots are rule-based, relying on scripts and predefined responses, while others use machine learning to improve and adapt over time.

AI agents are intelligent systems designed to perform specific tasks or make decisions autonomously, using data and algorithms to interact with their environment. AI agents are widely used in applications like virtual assistants, autonomous vehicles, recommendation systems, and process automation, where the goal is for them to act intelligently and independently to solve problems or complete tasks.

Large Language Models (LLMs) are advanced AI systems designed to understand and generate human-like text. They work by analyzing vast amounts of text data and learning the patterns, structures, and relationships between words and phrases. LLMs, like GPT (Generative Pre-trained Transformers), are capable of tasks such as answering questions, writing essays, translating languages, and even holding conversations, making them highly versatile in various applications.

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful. The goal of NLP is to bridge the gap between human communication and machine understanding. NLP powers many applications, such as voice assistants (like Siri and Alexa), chatbots, language translation, sentiment analysis, and even content summarization, helping machines communicate in ways that feel natural to humans.

Ethics in AI is essential to ensure that these powerful technologies are developed and used responsibly. By considering fairness, transparency, privacy, autonomy, and their broader societal impacts, we can guide AI toward positive outcomes that enhance human lives, reduce harm, and create a more equitable world. Ethical AI is not just about preventing harm—it’s about ensuring that AI is used to empower individuals, communities, and the global society in ways that reflect our shared values and principles. 

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

CodinGame lets you solve puzzles by writing code, including challenges that teach you how AI works in problem-solving. You can learn basic programming concepts and AI problem-solving while having fun with interactive coding challenges.

Teachable Machine allows you to train AI models with your own images, sounds, or poses, all without any coding. It’s great for beginners due to its incredible ease of use and lack of requirement for any technical background. You can instantly see how AI learns by training it yourself in real time.