Live, role-specific training for enterprises deploying Anthropic's Claude — from prompting and Projects to Artifacts, agentic workflows, and Claude Code for engineering teams — measured before and after.
Projects for shared context, Artifacts for working documents, extended reasoning for hard problems — the curriculum teaches Claude's actual operating model, not generic chatbot skills.
Our capstone framework takes cohorts from applied prompting to building agentic workflows — the same model that has taken non-technical teams to production AI agents in a matter of weeks.
A dedicated technical track covers Claude Code and AI-first engineering practices — specification, verification, and cost-aware model selection — for organizations enabling developers, not just knowledge workers.
shipped to production in seven weeks by one 40-person cohort of non-technical employees using our agent-building capstone framework — from expense reconciliation to contract-clause review
freed for a payments-processing team by a single quality-control documentation agent built in a capstone project
saved per employee per day on average after completing our programs, with 20–40% workflow-efficiency gains starting in week one
Baseline skills and usage against deployed seats, verify technical readiness and licenses, align executives, and identify the first use cases.
Expert-led, hands-on cohorts tailored to role and industry — delivered inside the tools and policies your teams already work with.
Every participant builds a real workflow or agent, coached by our experts and showcased to leadership — production artifacts, not certificates.
Manager cascades, internal competitions, and pre/post measurement convert the proving cohort into an organization-wide academy.
1,200+ AI and data domain experts drawn from institutions like Harvard, MIT, Stanford, Google, and Microsoft — fielded per engagement and matched to your industry, roles, and technology stack, tool-agnostic across ChatGPT, Copilot, Gemini, Claude, and custom in-house models.
Lead instructors run live, cohort-based sessions of 30 to 300 learners — from 3-week executive intensives to 4-month enablement tracks — while embedded AI coaches provide function-specific coaching and capstone review, producing time savings from week one.
Our advanced-manufacturing engagements surfaced why AI adoption stalls: teams lack workflow decomposition, systems thinking, and process engineering. We teach these pre-enabling skills alongside the tools — the difference between issuing licenses and redesigning work.
Skills baselines before training, pre/post deltas after, usage coverage against deployed seats, and capstone ROI review — the instrumentation discipline behind $1B+ in documented client productivity gains.
| Tier | What teams learn |
|---|---|
| Claude 101 — Universal fluency | Prompting fundamentals, context and instruction patterns, Projects and Artifacts basics, safe and responsible use under your policies. |
| Claude 201 — Role-based application | Function-specific workflows: research and synthesis, document production with Artifacts, analysis workflows, knowledge-base-grounded Projects — practiced on your real work. |
| Claude 301 — Agents & Claude Code | Agentic workflow design, multi-step automation, and a technical track on Claude Code and AI-first engineering; capstones reviewed by expert AI coaches and showcased to leadership. |
Production artifacts, not exercises. Recent advanced cohorts have shipped:
Answers to what enterprise teams ask before rolling out Claude training.
Get your organization's AI Maturity score in minutes, with a personalized roadmap — free. Ready to go further? Enterprise programs are typically scoped for cohorts of 50+ learners.