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Detailed Syllabus & Hourly Breakdown

Hour 1: Corporate Strategy & IP Protection

• Understanding the organization’s core service verticals and how individual projects contribute to bottom-line business growth.
• AI Integration: Utilizing internal, sandboxed knowledge bases (e.g., Glean or custom private LLMs) to search internal company intelligence safely without leaking data to public models.

Hour 2: Ethical AI & Data Governance

• Navigating data privacy, understanding bias in AI models, and avoiding hallucinations in critical business or regulatory data.
• AI Integration: Establishing frameworks for verification—treating AI output strictly as a "first draft" that demands mandatory domain-expert validation.

Hour 3: Best Practices at the Organization Level

• Strict Data Security (The Air-Gap Principle): Never pasting client data, proprietary code, or protected health/financial information into public AI models like basic ChatGPT or Gemini.
• Cross-Functional Collaboration: Breaking down silos by actively sharing project learnings, reusable code blocks, or templates with the wider organization's knowledge repository.

Objective

Aligning employee behavior with corporate strategy, intellectual property safety, and ethical AI usage.