GuideIntermediate

AI Multimodal Guide

Master multimodal AI: vision, audio, documents, and image generation. From GPT-4 Vision and Claude 3 to Whisper transcription, DALL-E, multimodal RAG, and document analysis. Build a complete multimodal document analyzer.

64
lessons
8
modules
English · Spanish
available in
Yes
certificate
Free
access
NIEVA

Outcomes

What you'll be able to do

  • Understand the multimodal landscape (vision, audio, combinations)
  • Use GPT-4 Vision, Claude 3, and Gemini for image analysis
  • Process documents (PDFs, images) with OCR + LLM
  • Generate images with DALL-E and integrate Stable Diffusion
  • Transcribe with Whisper and synthesize speech with TTS
  • Build multimodal RAG (text + images)
  • Apply real use cases: document Q&A, video analysis
  • Implement a complete multimodal document analyzer

Before you start

What you need to bring

It's for you if...

  • AI Engineers who need to integrate vision, audio, and documents into their systems
  • Python developers building applications with multiple modalities
  • Backend engineers integrating GPT-4 Vision, Whisper, DALL-E
  • Developers preparing document-analysis systems
  • Anyone who wants to master multimodal AI in production

Requirements and materials

  • Intermediate Python (functions, classes, file handling)
  • Experience with LLM APIs (OpenAI, Anthropic, or similar)
  • Familiarity with REST APIs and JSON
  • API keys: OpenAI (recommended), Anthropic (optional), Google (optional)
  • Python 3.11+ installed

Content

The syllabus, module by module

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