Multimodal AI is at the forefront of innovation, allowing systems to process and integrate data from multiple sources such as text, images, audio, and video. This course is designed to provide a comprehensive understanding of multimodal AI systems and their transformative impact across industries. Over five days, participants will explore advanced AI techniques that enable the seamless integration of various data modalities into complex workflows. The course covers the foundations of text and image processing, as well as more advanced applications like video content analysis and speech recognition, offering hands-on exercises to help participants build and deploy AI-driven solutions.

Attendees will gain practical skills in using models such as GPT4O, CLIP, and DALL-E, while also learning to automate workflows using OpenAI assistants and LangChain. By the end of the course, participants will have the expertise to implement AI solutions that span multiple modalities, making them equipped to tackle real-world challenges in areas like content management, automation, and data analysis.