AI Training for Business
2-Day Introduction
Most AI training either dumps theory you’ll never use or assumes you’re already a data scientist. This class is not that. This is a 2-day intensive for business professionals who need to understand what AI can actually do, how to use it effectively, and which workflows in your business are worth automating right now. No coding. No math. No vendor pitches. Just hands-on work with ChatGPT, Claude, and the tools your team will actually use.
- AI Fundamentals & Applications
- What AI, ML, and LLMs actually are (plain English, skip the hype)
- Real capabilities vs marketing nonsense
- Prompt engineering that works (structure, context, clarity)
Hands-on: Research, writing, and data analysis with ChatGPT/Claude Business workflow integration (email, reports, customer data) Ethics and responsible use (bias, privacy, verification)
Tools & Integration
- Platform comparison: when to use ChatGPT vs Claude vs Gemini Speed vs accuracy, cost vs capability Document processing (PDFs, spreadsheets, contracts)
- Content creation (blogs, social, marketing copy)
- Browser automation with AI assistance Build a complete AI workflow (research → analysis → report)
- Cost/ROI analysis for your specific use case Who This Is For
- Business owners looking to reduce manual work without hiring Operations managers exploring automation opportunities
- Marketing/sales teams wanting better content workflows Anyone tired of “AI will change everything” articles that don’t explain how No technical background required. If you can use Google Docs and Slack, you’re qualified. What You Get
- two full days of hands-on training (not lecture + Q&A, actual work)
- workflows built during class that you take home Cost/ROI calculator for your specific business
- Access to private Slack channel for post-training questions Template library of prompts and automation workflows
Why Design Engine? 15 years of industrial automation and trade experience applied to business processes
Your instructor has deployed AI in production environments.