🖥 Delivery: Online (self-paced)
AI applied to archives, records and heritage - OCR/HTR, entity extraction and auto-classification, redaction, knowledge management, and AI for preservation and description.
🖥 Delivery: Online (self-paced)
Keeping humans accountable for AI - HITL patterns and oversight, AI governance frameworks, risk and privacy, and AI security.
🖥 Delivery: Online (self-paced)
Adapting models to your domain - fine-tuning, dataset preparation, model selection, compression, and evaluation.
🖥 Delivery: Online (self-paced)
Building reliable AI applications - prompt engineering, retrieval-augmented generation, agents and tools, evaluation, and guardrails.
🖥 Delivery: Online (self-paced)
Standing up AI infrastructure - GPUs, local inference, model serving, an AI gateway, and vector databases.
🖥 Delivery: Online (self-paced)
Foundations of AI and large language models - what they are, how they work, the generative landscape, and their limits and ethics.