This module focuses on using images as prompts to help AI extract, organize, and interpret visual information. You'll learn how AI processes photos, screenshots, whiteboards, and notes, and practice applying image prompting to real tasks like digitizing content and diagnosing visual problems. You'll also discover common limitations and how to improve results with clearer images, stronger context, and precise constraints.

In this module, you'll see how audio can make AI interactions faster, more natural, and more useful in real work settings. You'll explore voice-to-text prompting for brainstorming and mobile use, and learn how transcription and summarization can boost meeting productivity. Practical habits for better spoken input and reviewing transcripts will help you get the most from audio prompts.

This module brings multimodal prompting together into practical workflows that reflect how AI is used in design, consulting, and knowledge work. You'll learn how one input can anchor a task while another provides context or refinement, and practice applying these patterns to sketches, video materials, and simulated client work. This will give you a realistic view of how multimodal systems support richer analysis and stronger deliverables.

In this final module, you'll consolidate your learning and prepare to continue using multimodal AI beyond the course. You'll review common mistakes, learn how to choose tools and modalities effectively, and identify next steps for ongoing practice. The module concludes with a final assessment to confirm your understanding and help you develop a practical strategy for future multimodal work.