AI basics & real-world use cases for ChatGPT / Copilot / Gemini (EN)

This one-day 'AI Basics' program is highly relevant as it addresses the rapidly growing demand for practical AI skills in the workplace to bridge the digital skills gap. It is specifically tailored for administrative and business roles, aiming to move participants from curious observers to "AI-Native" professionals.

The course introduces the fundamentals of Artificial Intelligence, with a focus on practical, real-world use cases for the "Big Three" tools: ChatGPT, Microsoft Copilot, and Google Gemini. Key content pillars include a deep dive into Large Language Models (LLMs), mastery of prompt engineering, demonstrations of workflow revolution in the office, and essential validation and ethics training. The primary goal is to transform daily routines for AI-assisted efficiency. Participants will gain foundational AI knowledge, practical application skills for tasks like email drafting and summarization, and the ability to seamlessly integrate AI into their current software stack, making the complex shift in technology accessible and providing career-defining skills.

Introduction to AI & Generative Tools

• History of AI
• Difference between Generative and Analytical Models
• Core functions of ChatGPT, Copilot, and Gemini for administrative tasks
• Future of work and AI literacy

Master the Fundamentals of Prompting

• Structure and syntax of effective prompts
• Prompt layout (Context, Task, Constraints, Persona)
• Refinement and iteration with follow-up prompts
• Hands-on exercises for precise business outputs

Content Creation & Documentation Basics

• Basic AI commands for data manipulation (e.g., changing tone, structuring lists)
• Content generation functionalities (drafting professional emails, translation)
• Document simplification (turning jargon into clear reports)
• Control flow in document editing (refine, shorten, or expand text)

Core Practical Skills / Objectives

• Turning office tasks into AI-augmented processes
• Summarizing long documents and managing large data
• Identifying and automating repetitive tasks
• Validating and auditing AI outputs for accuracy and bias
• Tool integration within existing software (e.g., Microsoft 365, Google Workspace)

• Developing vocabulary and techniques for collaborative AI environments

On completion of this course, participants will be able to:

• Understand the fundamental concepts of Generative AI, Large Language Models (LLMs), and their functional differences from Analytical AI.
• Apply foundational AI skills to real-world office tasks, including drafting professional emails, creating content, and performing administrative support.
• Craft complex, structured prompts (prompt engineering) to produce high-quality, professional, and reliable results from tools like ChatGPT, Copilot, and Gemini.
• Process and simplify complex information by summarizing long documents and generating structured professional reports in seconds.
• Audit and validate AI outputs for accuracy and bias, and troubleshoot common errors, ensuring responsible and ethical use.

• Integrate AI tools (ChatGPT, Copilot, Gemini) into existing software stacks and professional workflows to significantly boost personal and team productivity.

The pedagogical approach of this one-day program is heavily focused on practicality and hands-on, project-based learning, moving participants beyond theory to immediate, real-world application. The method emphasizes transforming traditional manual office tasks into streamlined, AI-augmented processes to achieve efficiency. A crucial part of the training is the "human-in-the-loop" verification step included in every module, which teaches learners how to audit and validate AI outputs for accuracy and ethical use.

The primary objective is for participants to achieve foundational AI knowledge and prompt engineering mastery. Upon completion, learners will have the practical skills to apply AI to real-world administrative tasks, such as email drafting, summarizing complex information, and generating professional reports. The key benefit is an enhanced information handling capability and the development of tool integration skills, allowing them to confidently implement and collaborate with AI solutions (ChatGPT, Copilot, Gemini) within their existing software stack to boost personal productivity.