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
AI in Practice
Applied courses that put AI to work in the tools you already use, from Google Workspace to agentic coding.
Google Workspace AI
A hands-on tour of Gemini across Gmail, Docs, Sheets, Slides, and Meet, then NotebookLM, Gems, and Workspace Studio — plus what is coming next.
Claude Code Masterclass
Context engineering in the terminal: the 40% rule, MCP costs, the Research-Plan-Implement loop with artifacts you review, grill_me and triage, skills, sub agents, goals, and why the developer owns what ships.