AI Course for Beginners #18 | Multimodal AI: How AI Sees Images and Hears Audio (with Python)

AI Course for Beginners: Episode 18 of SyntaxPilot's free AI full course, with real-life examples for every concept. Multimodal AI: How AI Sees Images and Hears Audio (with Python). In this video you'll learn: • Why you can't feed raw pixels to a transformer • Image patches and the Vision Transformer (ViT) • Why fixed-label classifiers break • CLIP: learning from images and captions • Cosine similarity and zero-shot classification • Vision-language models: image tokens + text tokens • Audio: sample rate, frames, spectrograms, Whisper Every concept starts with a real-life example, then an animation and notes, then live code in the SyntaxPilot online compiler. Practice free in the SyntaxPilot compiler (nothing to install): https://syntaxpilot-learning-2026.web... Detailed notes for this episode (code, outputs, practice): https://syntaxpilot-learning-2026.web... Chapters 00:00 Welcome 00:31 Describing a photo 01:01 A photo is numbers 01:39 Attempt: pixels as tokens 02:15 Patches 02:54 Vision Transformer 03:36 Attempt: fixed labels 04:15 Photos with captions 04:46 CLIP 05:37 Zero-shot 06:13 Vision-language models 06:53 Sound 07:34 Hearing speech 08:17 Where you meet it 08:49 Common mistakes 09:26 Quick quiz 09:48 Quiz 2 10:05 Recap 10:30 Next episode Next episode: Limits of LLMs: hallucination, knowledge cutoff and more Post your homework and quiz answer in the comments, and subscribe for the full basic-to-master playlist, free. #ArtificialIntelligence #AITutorial #SyntaxPilot