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.
Course introduction
Plays a spoken introduction for Multimodal LLMs (MLLM) & Vision-Language Systems using your browser voice (course-specific script).
Infographic
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 patterns45m
Module 2: Document AI, OCR, and structured extraction governance
- Document AI, OCR, and structured extraction governance50m
Module 3: Deepfake detection and media authenticity workflows
- Deepfake detection and media authenticity workflows55m
Module 4: Bias and fairness in vision and speech models
- Bias and fairness in vision and speech models60m
Module 5: Sector overlays — healthcare diagnostics, KYC, media moderation
- Sector overlays: healthcare diagnostics, KYC, media moderation45m
Module 6: Multimodal red-teaming and adversarial testing
- Multimodal red-teaming and adversarial testing50m