AI Glossary at Work: A Practical Guide for Every Employee
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 33m | Size: 3.45 GB

Understand AI, Generative AI, LLMs, Prompt Engineering, RAG & AI Tools with Practical Demos, Quizzes and Role Plays

What you'll learn
Identify essential AI concepts including Generative AI, LLMs, GPT, multimodal AI, AI assistants, and AI agents.
Compare major AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot for different workplace needs.
Apply practical prompt engineering techniques including zero-shot, few-shot, CREATE, SCENE, and reasoning approaches.
Explore AI-powered workflows using Claude, Copilot, NotebookLM, Google AI Studio, Python, and Ollama.
Distinguish between reliable AI outputs and hallucinations by evaluating AI-generated information critically.
Apply Retrieval-Augmented Generation (RAG) concepts to understand how AI can retrieve information from external sources.
Evaluate what types of workplace information can be safely shared with AI and identify situations requiring greater caution.
Refine AI-generated content to make it more natural, accurate, relevant, and aligned with your own communication style.
Assess which workplace tasks AI can automate or assist with while identifying where human judgment remains essential.
Interpret AI usage policies and make responsible decisions when using AI tools in the workplace.

Requirements
No prior AI or technical experience is required. This course is designed for beginners and working professionals who want to build practical AI knowledge. A basic familiarity with using a computer and accessing the internet is helpful.

Description
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

-Recognize AI hallucinations and evaluate whether an AI-generated answer can be trusted

-Identify what information is appropriate to share with AI and what may require greater caution

-Refine AI-generated content so it sounds more natural and reflects your own voice

-Evaluate what AI can automate, what it can assist with, and where human judgment remains essential

-Navigate AI usage policies and make more informed decisions about using AI at work

Why does this matter?

AI terminology is no longer limited to developers and AI specialists. Whether you work in HR, marketing, finance, operations, project management, sales, education, or another field, you are increasingly likely to encounter AI tools and AI-related decisions in your everyday work.

Knowing the terminology helps you ask better questions, choose the right tools, communicate more confidently with colleagues, and recognize the limitations and risks of AI. More importantly, it helps you move beyond simply experimenting with AI and start using it thoughtfully in real workplace situations.

What will you do in the course?

This is designed to be practical rather than purely theoretical. You'll watchvideo demonstrations, test your knowledge withquizzes, and work throughrole-play scenarios based on common employee concerns. You'll see AI tools being used for real tasks and examine situations such as dealing with hallucinations, handling sensitive information, editing robotic AI output, and navigating concerns about AI and job replacement.

Why is this course different?

This course is designed foreveryday employees, not AI specialists. You don't need a technical background to follow along. Complex AI concepts are explained in practical workplace language, with demonstrations that connect terminology to situations you are likely to encounter on the job.

Rather than giving you a dictionary of AI definitions, this course helps you connect theterm → concept → tool → workplace use case → potential risk. That makes it easier to remember what these terms mean and, more importantly, recognize when they actually matter.

If you want to stop feeling lost when AI terminology comes up and start speaking, evaluating, and working with AI more confidently,enroll today and build your practical AI vocabulary for the workplace.

Who this course is for
Employees who want to build practical AI skills and confidently use AI tools in their daily work.
Managers and Team Leaders who want to understand AI capabilities, risks, and workplace applications.
Business Professionals who want to explore Generative AI, prompt engineering, and AI-powered productivity tools.
HR and People Professionals who want to understand AI terminology, responsible AI use, and workplace implications.
Project and Product Professionals who want to apply AI tools to research, analysis, documentation, and everyday workflows.
Non-Technical Professionals who want to build an AI vocabulary and confidently navigate the rapidly changing AI workplace.

Homepage

https://www.udemy.com/course/ai-glossary-at-work/