Multimodal Generative AI: Vision, Speech, and Assistants

This comprehensive course offers a deep dive into the practical application of multi-modal AI, taking you from foundational concepts to advanced integration. You will begin by exploring Vision capabilities to master Image-to-Text analysis, then transition into the world of audio by learning to generate lifelike voices with Text-to-Speech and transcribe recordings using Speech-to-Text (Whisper) . The curriculum culminates in a powerful exploration of the Assistants API , where you will learn to build autonomous agents equipped with Code Interpreter , File Search , and Function Calling . By combining these pillars, you will gain the skills necessary to develop sophisticated, end-to-end AI solutions that can see, hear, speak, and act on complex data.

• In this course, you will develop a comprehensive toolkit for building multi-modal AI applications by mastering the most powerful features of the OpenAI ecosystem. You will start by learning how to bridge the gap between visuals and language through Image-to-Text (Vision) analysis and then dive into the audio landscape, mastering both Text-to-Speech (TTS) generation and high-accuracy Speech-to-Text (Whisper) transcription.The journey concludes with a deep dive into the Assistants API , where you will learn to build intelligent agents capable of complex reasoning. You will gain hands-on experience using Code Interpreter to analyze data, File Search to query documents, and Function Calling to connect your AI to external tools. By the end of this course, you will be able to orchestrate these different AI "senses" into a single, cohesive system that can see, hear, speak, and act.