Courses
AI Transformation Boardroom
A $3,000 premium diligence course for evaluating AI transformation opportunities like an operator, investor, or executive sponsor. Covers market signal reading, capability maturity, portfolio prioritization, risk exposure, operating model, budget, and board-level narrative. Built for leaders who need a credible AI transformation thesis instead of a pile of disconnected pilots. Core sources: - https://aiindex.stanford.edu/report/ - https://www.nist.gov/itl/ai-risk-management-framework/generative-artificial-intelligence-profile - https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
Internal Automation Blueprint
A $2,000 strategy course for mapping internal AI automation across departments. Covers operating model, capability map, data boundaries, approval architecture, build-versus-buy decisions, risk controls, and phased implementation roadmap. For founders, operators, and department leads preparing a serious AI automation program. Core sources: - https://www.nist.gov/itl/ai-risk-management-framework - https://www.anthropic.com/engineering/building-effective-agents - https://owasp.org/www-project-top-10-for-large-language-model-applications/
Knowledge Base and RAG Workshop
A $1,200 workshop for building source-grounded knowledge workflows. Covers document readiness, chunking strategy, retrieval quality, citation expectations, answer evaluation, permissions, and maintenance cadence. Designed for internal knowledge bases, support desks, policy libraries, and research workflows. Core sources: - https://arxiv.org/abs/2005.11401 - https://platform.openai.com/docs/guides/retrieval - https://platform.openai.com/docs/guides/evals
Customer Support Agent Lab
A $750 lab for designing customer support AI agents with retrieval, escalation rules, QA scorecards, safety boundaries, and human-in-the-loop operations. Covers intake triage, knowledge grounding, reply drafting, handoff logic, and support analytics. Built for teams that want agents to reduce support load without damaging customer trust. Core sources: - https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf - https://platform.openai.com/docs/guides/tools - https://arxiv.org/abs/2210.03629
AI Ops Playbook for Small Teams
A $300 operating playbook course for small teams implementing AI across real workflows. Covers use-case selection, success metrics, staffing, vendor selection, rollout sequence, internal documentation, weekly reviews, and ROI tracking. The goal is a practical operating cadence, not a demo that disappears after launch week. Core sources: - https://aiindex.stanford.edu/report/ - https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf - https://www.anthropic.com/engineering/building-effective-agents
AI Governance and Risk Basics
A $75 governance course for small teams adopting AI. Covers NIST AI RMF concepts, generative AI risk categories, data exposure, prompt injection, model behavior monitoring, user disclosures, and lightweight approval processes. Built for operators who need a usable risk desk without enterprise bureaucracy. Core sources: - https://www.nist.gov/itl/ai-risk-management-framework - https://www.nist.gov/itl/ai-risk-management-framework/generative-artificial-intelligence-profile - https://owasp.org/www-project-top-10-for-large-language-model-applications/
No-Code Automation Desk
A $75 operator course for turning repetitive work into no-code and low-code automations. Covers intake triggers, routing rules, approvals, spreadsheets, docs, CRMs, task systems, and where AI should stay behind a human checkpoint. Designed for business teams that need useful automation without a full engineering project. Core sources: - https://platform.openai.com/docs/guides/tools - https://owasp.org/www-project-top-10-for-large-language-model-applications/ - https://www.nist.gov/itl/ai-risk-management-framework
Prompt Systems and Workflow Design
A $50 course on designing repeatable prompt systems instead of one-off prompts. Covers reusable instruction blocks, context packaging, output schemas, review loops, examples, failure capture, and handoff-ready workflow specs. Includes practical templates for support, research, sales, admin, and content workflows. Core sources: - https://platform.openai.com/docs/guides/prompt-engineering - https://platform.openai.com/docs/guides/structured-outputs - https://platform.openai.com/docs/guides/evals
AI Literacy for Operators
A $30 foundation course for operators who need to understand what AI systems can do, where they fail, and how to judge claims before buying tools. Covers model basics, prompt vocabulary, workflow fit, source grounding, privacy, and evaluation habits. Built for non-engineers, founders, and team leads who need practical literacy before implementation. Core sources: - https://arxiv.org/abs/1706.03762 - https://aiindex.stanford.edu/report/ - https://www.nist.gov/itl/ai-risk-management-framework