Training & Upskilling Roadmap

You cannot just give someone a GitHub Copilot license and expect magic. Tool access without training leads to frustration and misuse.

We implement role-based training tracks to ensure everyone has the skills relevant to their work.

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Training Roadmap

graph TD
    subgraph Track1 ["Foundations (Everyone)"]
        F1[AI Ethics & Security]
        F2[Prompt Engineering 101]
    end

    subgraph Track2 ["Developer Track"]
        D1[Copilot Workflow]
        D2[Test Generation]
        D3[Code Reviewing AI]
    end

    subgraph Track3 ["Architect Track"]
        A1[Agentic Design Patterns]
        A2[RAG Architectures]
        A3[Governance by Design]
    end

    subgraph Track4 ["Product Track"]
        P1[GenAI Use Cases]
        P2[Spec-Driven Dev]
    end

    F1 --> D1
    F1 --> A1
    F1 --> P1
    F2 --> D1

    style Track1 fill:#e3f2fd,stroke:#1565c0
    style Track2 fill:#f3e5f5,stroke:#4a148c
    style Track3 fill:#fff3e0,stroke:#e65100
    style Track4 fill:#e8f5e9,stroke:#2e7d32

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Skills Progression Matrix

Role	Level 1: Beginner	Level 2: Practitioner	Level 3: Expert
Developer	Uses autocomplete. Accepts suggestions blindly.	Uses chat to refactor code. Generates unit tests. Verifies output.	Architects complex prompts. Uses agents for multi-file tasks. Debugs AI logic.
Architect	Understands LLM limitations.	Designs RAG pipelines. Selects appropriate models.	Designs multi-agent autonomous systems. Implements eval frameworks.
Product Mgr	Can identify GenAI use cases.	Prototyping UIs with AI. Writing clear specs for AI.	Managing “AI-as-a-Product”. Defining eval metrics for quality.

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Delivery Methods

1. Self-Paced Learning: Curated video paths (e.g., LinkedIn Learning, Pluralsight) mapped to the curriculum.
2. Live Workshops: “Copilot Dojo” sessions where teams bring real code and Mob Program with AI.
3. Lunch & Learns: Weekly 30-min demos of cool new tools or techniques.

Just-in-Time Learning

The field moves too fast for static 6-month courses. Focus on micro-learning and “Just-in-Time” resources (e.g., a shared “Prompt Library” wiki that addresses immediate needs).

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Key Takeaways

1. Train on Ethics First: Before showing them how to code faster, show them how to stay out of trouble (Security/Privacy).
2. Peer Learning is Best: The best tips come from colleagues. Facilitate sharing sessions.
3. Execs Need Training Too: They don’t need to code, but they need to understand “Probabilistic vs Deterministic” systems to make good decisions.