Turner Industries — AI Enablement Curriculum Overview
Engagement: AI-Enabled Development Acceleration Client: Turner Industries (Donnell Jenkins) Consultant: Nubitz, LLC (Steve Schaneville) Duration: 10 weeks total — 5 weeks active engagement (Phases 1 & 2) plus 4 weeks white-glove support (Phase 3)
The Learning Bed Approach
This curriculum is built around a single focal product — the learning bed — selected by Turner in the kickoff session. Every subsequent session advances the same artifact: discovery on the product, governance shaped around the product, CLAUDE.md and skills authored for the product, the product's Azure DevOps pipeline gaining AI-augmented steps, and a real backlog item from the product taken end-to-end in the capstone.
By the end of the engagement, the learning bed product is fully wrapped in AI-assisted development practices. Turner's team owns the work of replicating that wrapping across the rest of their portfolio — and they have a complete working example to copy from.
Curriculum Shape
Seven sessions span the active engagement: a kickoff (Session 0), two strategy sessions (Sessions 1-2), and four hands-on enablement sessions (Sessions 3-6). Sessions are designed for Turner's hands-on development team.
| # | Session | Phase | Week | Duration | Focus Area |
|---|---|---|---|---|---|
| 0 | Kickoff & Learning Bed Selection | 1 | 1 | 1.5 hrs | Engagement framing + product selection |
| 1 | Discovery & Current-State Assessment | 1 | 1 | 2 hrs | Production-Ready Tooling Assessment |
| 2 | Strategy & Governance Workshop | 1 | 2 | 2 hrs | AI Context & Governance Strategy |
| 3 | AI-Assisted Development Foundations | 2 | 3 | 2.5 hrs | Hands-on AI tooling |
| 4 | Context Management & Custom Skills | 2 | 3-4 | 2.5 hrs | AI Context & Governance Strategy |
| 5 | Azure DevOps Integration | 2 | 4 | 2.5 hrs | DevOps Pipeline Integration |
| 6 | Speed vs. Risk: Capstone & Best Practices | 2 | 5 | 2.5 hrs | Speed vs. Risk Optimization |
Total active facilitation: ~15.5 hours across 5 weeks. Plus 10 hours of Phase 3 white-glove support delivered via scheduled calls.
How the Learning Bed Threads Through the Sessions
- Session 0 — Turner selects the learning bed product from its internal portfolio.
- Session 1 — Discovery and audit performed on the learning bed product: its workflows, pipelines, security posture, and pain points.
- Session 2 — Governance framework and context-management strategy designed against the learning bed's realities; configuration-asset specs target this product first.
- Session 3 — Foundational exercises (explain, refactor, test, review) run against real code in the learning bed.
- Session 4 — CLAUDE.md, AGENTS.md, and SKILL.md authored directly in the learning bed's repos.
- Session 5 — AI-augmented pipeline steps wired into the learning bed's Azure DevOps pipeline.
- Session 6 — A real backlog item from the learning bed taken end-to-end with the full toolchain in the capstone.
Mapping to SOW Focus Areas
The four core areas from the SOW are addressed across the curriculum as follows:
- AI Context & Governance Strategy is anchored in Sessions 2 and 4 — strategy/framework design then hands-on CLAUDE.md, AGENTS.md, and SKILL.md authoring in the learning bed's repos.
- Production-Ready Tooling Assessment runs through Sessions 1, 3, and 5 — current-state audit, foundational tool training, and tooling integration into pipelines.
- Speed vs. Risk Optimization is framed in Session 2 (risk analysis) and operationalized in Session 6 (patterns, guardrails, capstone exercise).
- DevOps Pipeline Integration is the explicit focus of Session 5 and reinforced in Session 6.
Audience
Primary audience: Turner's developers — engineers who will use Claude and AI workflows day-to-day, including the named developer(s) for the learning bed product. The engagement sponsor and technical leadership are expected at Session 0 (selection), and encouraged at Sessions 2 and 6 (governance and wrap-up). DevOps/platform engineers should be present for Session 5. The learning bed's domain expert should attend Sessions 1, 4, and 6.
Phase 3: White-Glove Support (Weeks 6-10)
Following Session 6, up to 10 one-hour calls are available to Turner's team for ad-hoc guidance, troubleshooting, and refinement as they apply the new workflows independently — especially as they begin replicating the pattern from the learning bed onto other products in their portfolio.
Deliverables Aligned to Sessions
- Phase 1 deliverables (driven by Sessions 0-2): AI Development Strategy Document; recommendations and specifications for AI configuration assets — both tailored to the selected learning bed product.
- Phase 2 deliverables (driven by Sessions 3-6): Guidance for integrating AI workflows into Turner's environment and Azure DevOps pipelines; Developer Reference Guide for Turner-specific AI-assisted development practices, using the learning bed product as the worked example throughout.
Folder Layout
This folder set contains:
1 - High-Level Outlines/— Session-by-session summaries with objectives, topics, and deliverables (this folder).2 - Detailed Agendas/— Time-blocked agendas with demos, exercises, and durations for each session.