AI Course Series
Understand AI.
Then put it to work.
Decision Makers Brief turns how modern AI actually works into interactive courses you can take at your own pace or present to a room, with live interactive demos built into the slides.
Series 1
Under the Hood of AI
Five courses that build a working mental model: how LLMs are built and think, how they get data and take action, how to engineer context you can trust, and what an AI-first strategy assumes.
How LLMs Are Built
Rules, machine learning, foundation models, tokens, attention, hallucination boundaries, and a live classroom exercise.
Inside LLMs and Transformers
Pre-training, fine-tuning, inference, stateless models, context assembly, memory, and the vendor-product-model distinction.
RAG, Tools, MCP & Better Prompting
How we feed and steer models: retrieval-augmented generation, tool calling and MCP, prompt engineering, and thinking models — with live build-your-own-RAG and tool-calling demos.
Context Engineering & Verifying Output
The five inputs that make up context, why quality degrades as context grows (context rot, lost-in-the-middle, pollution), Research → Plan → Implement, and countering sycophancy with adversarial review.
Risk, Faffa, and AI-First Strategy
Generative media, omni models, what makes an agent, the Claude Code tipping point, the future of search, and the four assumptions behind an AI-first strategy.
Series 2
Google Workspace AI
Practical tutorials for applying Gemini across the Google Workspace tools teams already use.
Series 3
Claude Code
A dedicated series on context engineering, reliable agentic workflows, and building with Claude Code.
Series 4
Building Faffa
A technical case study in turning a raw language model into a persistent, proactive personal assistant.
