Intro AI Basics - Course

New to artificial intelligence? This Level 100 Intro AI Basics course introduces the foundational concepts and terminology of AI for a non-technical audience. You will learn how AI has evolved, how core AI concepts relate to one another, and how modern AI technologies support practical use cases. The course also helps you understand why these technologies are important and how to discuss their opportunities and limitations.

Overview

You learn the foundations of artificial intelligence, including AI and AGI, the history of AI, and the relationships between machine learning, deep learning, neural networks, natural language processing, foundation models, large language models, and generative AI. You also explore modern AI technologies such as agentic AI, large reasoning models, vector databases, embeddings, prompting, fine-tuning, retrieval-augmented generation, context windows, Model Context Protocol, mixture-of-experts architectures, and model selection.

Prerequisites

none

Timing

A time investment of approx. 1 day is needed to cover all the course material.

Objectives

Explain foundational AI concepts and terminology, describe the evolution of AI, distinguish the relationships between key AI technologies, identify practical use cases, and discuss the benefits, limitations, and trade-offs of modern AI solutions.

Certification

Intro Courses help you to embrace Exoscale-related topics; hence there are no certification exams for them.