Enterprise Bootcamps — 9-Day Cohort Plans

LLM foundations, safety & grounding; Prompt design basics

Design a simple prompt-based assistant for a real use case

Feedback loop; refine instructions

Role prompting, CoT, ReAct; structured JSON outputs

Implement ReAct & schema enforcement for a workflow

Peer review; capture design decisions

Custom GPTs & Gemini apps; policy & guardrails

Ship a private GPT/Gemini app for an internal task

Light team walk/coffee chat (team-building)

API usage: OpenAI/Gemini/Anthropic; function/tool calling

Wire one API into the app; test edge cases

Mentor checkpoints; backlog grooming

Automation: Zapier, n8n, Power Automate integrations

Trigger end-to-end flow from input → output artifact

Retrospective; risks & mitigations

Copilot for Excel/Docs; reporting assistants

Auto-generate report from raw data + narrative

Evening mindfulness/stretch (optional team-relax)

ChatOps: Teams/Slack enablement; access controls

Deploy bot to a channel; collect usage signals

Mentor QA; polish UX copy

Evaluation frameworks; prompt/version management

Build evaluation set; iterate for quality

Demo rehearsal; stakeholder prep

Capstone build & demo day; adoption playbook

Finalize artifact & run live demo

Team celebration tea/refresh (light team-building)

No/Low-code landscape; patterns & pitfalls

Map a candidate workflow with inputs/outputs

Feedback on scope

Connectors for Excel/SharePoint/Sheets

Flow to ingest & normalize data

Review & tidy naming

Power Automate design patterns

Branching, retries, approvals

Short outdoor stretch/walk (team-relax)

Zapier & n8n orchestrations

Multi-app chaining; error handling

Mentor checkpoint

Integrating AI APIs in flows

LLM step for classify/summarize

Retro on accuracy

Notifications, docs, & auditability

Auto report with history trail

Mindfulness minute (optional)

Permissions & governance

Role-based access & logs

Peer review

KPIs & adoption playbooks