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