Before you can secure AI systems, you need to understand how they work. This learning path covers the core concepts — machine learning, deep learning, natural language processing, and generative AI — with healthcare context woven throughout.
Each resource includes a summary of key takeaways plus Practitioner Notes that connect the concepts to real healthcare security considerations.
Resources in This Path
Understanding AI Concepts: Machine Learning, Gen AI, NLP, & More
Source: IBM Technology • Type: Video • Duration: ~10 minutes
A clear, jargon-light introduction to the core concepts that underpin modern AI systems. Ideal starting point for anyone new to AI.
How Large Language Models Work
Source: IBM Technology • Type: Video • Duration: ~6 minutes
Explains what LLMs are, how they're built (data, architecture, training), and their business applications. Essential context for understanding modern generative AI.
What is an AI Agent?
Source: IBM Technology • Type: Video • Duration: ~13 minutes
The evolution from monolithic models to compound AI systems and agents. Covers the ReAct framework, tool use, and when to use agentic vs. programmatic approaches.
What is Retrieval-Augmented Generation (RAG)?
Source: IBM Technology • Type: Video • Duration: ~7 minutes
How RAG addresses LLM limitations like outdated information and hallucination by grounding responses in external content stores.
What's Next?
After completing the AI Foundations path, you'll be ready to move on to AI Security (coming soon), where we cover how AI systems are attacked and defended — with emphasis on healthcare-specific risks and regulatory considerations.