Introduction to Multimodal Generative AI: Vision, Speech, and Assistants

Generative AI is shifting rapidly from text-only interactions to rich, multimodal experiences that seamlessly process images, voice, and structured tasks. Learning how to integrate these diverse inputs is essential for building the next generation of intelligent software. This text-based course guides you through the core concepts and practical workflows needed to design systems that can see, hear, and act. By completing this course, you will transition from basic text prompting to understanding how to orchestrate comprehensive AI systems. You will gain a solid foundation in multimodal model capabilities and learn how to leverage vision, speech, and assistant frameworks to solve real-world problems. What you'll learn: - Understand the foundational concepts of multimodal AI, including how models process text, vision, and audio simultaneously. - Configure vision-based AI models to analyze, describe, and extract structured data from images. - Implement speech-to-text and text-to-speech technologies to build natural voice interfaces. - Build functional AI assistants capable of calling external tools and maintaining conversation state. - Apply modern prompt engineering techniques tailored specifically for multimodal inputs. - Address safety, privacy, and latency considerations when deploying multimodal applications. This course begins with core definitions and architectural concepts before moving into written, practical guides for API integration, image analysis, speech synthesis, and assistant setup. You will read through clear explanations and study structured code examples to solidify your understanding. This course is designed for beginner developers, product managers, and tech enthusiasts who want to explore multimodal AI. No prior experience with generative AI APIs is required, though a basic familiarity with general programming concepts is helpful. Start exploring the future of interactive AI today.