Building Multimodal AI Applications with Vision, Speech, and Assistants

Modern artificial intelligence is no longer restricted to text. To build truly impactful applications, developers must leverage multimodal capabilities that allow systems to see, hear, and speak. This text-based course guides you through the process of combining computer vision, text-to-speech, and speech-to-text technologies to create interactive AI assistants. You will transition from understanding core machine learning concepts to reading and writing code that integrates diverse sensory inputs and outputs. What you'll learn: Understand the foundational concepts of multimodal generative AI and how different modalities interact; Apply computer vision models to perform image-to-text analysis and extract visual information; Implement speech-to-text synthesis using Whisper to transcribe audio files accurately; Configure text-to-speech engines to generate natural-sounding voice outputs; Design intelligent AI assistants that coordinate multiple sensory APIs to solve complex user tasks; Practice modern API integration patterns and prompt engineering techniques tailored for multimodal models. The journey begins with essential terminology and the architecture of multimodal systems. You will then progress step-by-step through dedicated text-based modules covering vision, audio transcription, voice generation, and the final assembly of a functional AI assistant. This course is designed for beginning developers and tech enthusiasts who want to expand their AI toolkit, and no prior experience with generative AI APIs is required. Start reading today to unlock the potential of multi-sensory AI applications.