Generative AI Ecosystem
A clear course map of model families, modalities, retrieval, tools, and runtime components that make up real generative AI systems.
Unveiling GenAI
A production-style walkthrough of how a generative AI system retrieves data, grounds answers, applies safety checks, and earns user trust.
What Is Generative AI?
A practical explanation of what generative AI is, how it differs from earlier AI systems, and where model knowledge ends without retrieval.
How Generative AI Works
A reader-friendly deep dive into tokenization, context windows, decoding, and the inference mechanics that shape cost, latency, and output quality.
Generative AI Model Architectures
A practical guide to transformer layers, attention, encoder and decoder models, diffusion, multimodal systems, and Mixture of Experts.
Role Play — Explain GenAI to Leadership
A realistic executive-facing capstone that turns the Foundations module into a business case, risk discussion, and pilot approval conversation.