Tech Basics for AI: What Non-Technical People Need to Know

What you’ll explore

• Explain how machine learning and neural networks work, in plain business language, without hand-waving or unnecessary jargon
• Explain how large language models generate text and identify their practical limitations — parameters, tokens, context windows and hallucination
• Use the essential AI vocabulary correctly and confidently in meetings and project discussions, including the distinction between algorithm, model and product
• Describe the typical phases of an AI project lifecycle and the roles product, data science, engineering and business stakeholders play at each one
• Ask the right questions and identify red flags as a non-technical stakeholder in AI project decisions

Who it’s for

Non-technical business professionals engaging with AI projects and decisions Managers, operations and business leaders who sit in meetings where AI capabilities and limitations are discussed Anyone who needs to evaluate an AI vendor pitch, sign off on an AI project, or hold a technical team accountable without being technical themselves