This course introduces the fundamental ideas behind Multimodal Artificial Intelligence. Learn how AI systems can understand and process information from various sources like text, images, and audio. We will cover the basic building blocks, common approaches, and simple applications of multimodal AI systems. This course provides a solid starting point for anyone interested in how AI combines different types of data.
Prerequisites No prior AI experience.
Level:
Core Concepts of Multimodal AI
Understand what Multimodal AI is, its importance, and the different data modalities involved.
Data Representation
Identify how text, image, audio, and video data are represented for AI processing.
Modalities Integration Techniques
Learn about common methods for combining information from different modalities, such as fusion strategies and representation learning.
Building Blocks of Multimodal Models
Recognize the fundamental components used in constructing simple multimodal AI models.
Basic Applications
Gain familiarity with introductory applications of Multimodal AI, like image captioning and visual question answering.