WAIG Academy Learning Platform

Multimodal LLMs (MLLM) & Vision-Language Systems

Image, audio, video, and cross-modal AI assurance

Specialised track for multimodal models — vision-language, speech, and document AI — with emphasis on deepfake risk, content authenticity, and sector-specific controls (health, finance, media).

Extends WAIG's Health & Pharma conclave and sector assurance work into practitioner training.

Lessons are locked until you enroll with a verified work email and activate your WAIG Academy Learning Platform account.

Module 1: Multimodal model architectures and use-case patterns

  • Multimodal model architectures and use-case patterns12m

Module 2: Document AI, OCR, and structured extraction governance

  • Document AI, OCR, and structured extraction governance15m

Module 3: Deepfake detection and media authenticity workflows

  • Deepfake detection and media authenticity workflows18m

Module 4: Bias and fairness in vision and speech models

  • Bias and fairness in vision and speech models21m

Module 5: Sector overlays: healthcare diagnostics, KYC, media moderation

  • Sector overlays: healthcare diagnostics, KYC, media moderation12m

Module 6: Multimodal red-teaming and adversarial testing

  • Multimodal red-teaming and adversarial testing15m