Understanding Core AI Terminologies
Explore foundational AI concepts including machine learning, deep learning, generative AI, computer vision, and natural language processing. Understand how these areas relate and form the basis for AI applications in real-world scenarios, helping you prepare for AWS AI Practitioner certification.
Artificial intelligence (AI) is a discipline that aims to create systems capable of performing tasks that usually require human intelligence, such as reasoning, decision-making, pattern recognition, and language comprehension. AI is a broad area consisting of different branches which focus on one aspect of intelligent behavior. Its applications are widely used in everyday life, from voice assistants like Siri and Alexa to more complex applications like autonomous vehicles.
AI has become the core of modern innovation, yet terms like machine learning, deep learning, and large language models can often feel overwhelming or confusing.
In this lesson, we’ll explain the fundamental concepts of artificial intelligence.
Machine learning
Machine learning (ML) is a subset of AI that focuses on enabling machines to learn from data rather than being explicitly programmed. ML models identify patterns within data using statistical techniques, helping systems make predictions or decisions based on that data.
ML has transformed industries by powering ...