AI Glossary at Work: A Practical Guide for Everyone [2026]

Course Overview

This course provides a practical introduction to essential AI concepts including Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI tools used in the workplace. It features practical demos, quizzes, and role plays to help learners understand and apply AI technologies effectively in professional settings.

Participants will explore major AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot, learn prompt engineering techniques, evaluate AI-generated content critically, and understand responsible AI usage policies.

Key Takeaways

• Identify and understand key AI concepts like Generative AI, LLMs, GPT, multimodal AI, AI assistants, and AI agents.
• Compare and choose appropriate AI tools for different workplace needs.
• Apply practical prompt engineering methods including zero-shot, few-shot, CREATE, SCENE, and reasoning approaches.
• Use AI-powered workflows with tools such as Claude, Copilot, NotebookLM, Google AI Studio, Python, and Ollama.
• Distinguish reliable AI outputs from hallucinations and critically evaluate AI-generated information.
• Understand and apply Retrieval-Augmented Generation (RAG) concepts.
• Assess data sharing safety and identify when caution is needed with workplace information.
• Refine AI-generated content for accuracy, relevance, and style alignment.
• Determine which workplace tasks can be automated or assisted by AI and where human judgment is essential.
• Interpret AI usage policies and make responsible decisions when using AI tools at work.

Target Learners

• Employees and professionals using or exploring AI tools in the workplace.
• Business users seeking to understand AI terminology and practical applications without deep technical knowledge.
• Beginners wanting a clear foundation in AI concepts and tools like ChatGPT, Claude, Gemini, and Copilot.
• Teams aiming to build a shared understanding of AI technologies and responsible usage.
• Professionals interested in improving AI prompt engineering skills and integrating AI into workflows.