If you use AI at work but find yourself wondering what an LLM actually is, what RAG means, why AI sometimes gives confidently wrong answers, or which AI tool you should use for a particular task, this course is for you. Maybe you’ve heard terms like Generative AI, GPT, multimodal AI, prompt engineering, hallucination, and AI agents thrown around in meetings and online — but you’re not always sure what they mean or how they apply to your job.
AI Glossary at Work: A Practical Guide for Every Employee gives you a practical, jargon-free introduction to the AI concepts, terminology, and tools shaping the modern workplace. Instead of simply memorizing definitions, you’ll see these concepts in action through demonstrations, workplace examples, quizzes, and role-play scenarios.
In this course, you will:
- Explore how Generative AI has evolved from creating text to producing business deliverables and completing multi-step tasks
- Master essential AI concepts including LLMs, GPT, multimodal AI, AI assistants, and AI agents
- Compare popular AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot
- Develop practical prompt engineering skills using techniques such as zero-shot, few-shot, CREATE, SCENE, and reasoning
- Explore Claude features including Projects, Skills, Cowork, Connectors, and scheduled tasks
- Apply AI tools to practical workplace tasks such as data analysis, research, design, coding, and information synthesis
- Explore Google AI Studio, NotebookLM, Python, and local LLMs with Ollama
- Build a foundation in Retrieval-Augmented Generation (RAG) and see how a RAG system works
