A comprehensive hands-on training course designed to empower employees with AI literacy and practical skills for leveraging various AI models in daily business operations. Participants will learn effective prompting techniques and gain confidence in applying AI tools across multiple languages.
Course Overview Table
| Chapter | Details |
| Partner | University St. Kliment Ohridski – Bitola, Faculty of Information and Communication Technologies |
| Title | Usage of AI Tools in Everyday Company Processes |
| Service | course |
| Target Group | Business professionals across all departments with limited AI exposure (Management, HR, Marketing, Customer Service, Administration), Startups, Public Administration |
| Format | In-Person Training with Hands-on Workshops |
| Focused on Key Technologies | AI, Large Language Models, Generative AI |
| Status | Ready to offer |
| Stakeholders from SME/PA Side | Employees seeking to improve efficiency, innovation capability, and digital literacy |
| Requirements for Participation | Basic computer literacy, no prior AI knowledge required |
| Estimated Duration | 16 hours |
Description of the Course
Introduction
This hands-on course bridges the gap between cutting-edge AI technology and practical business applications. Designed for professionals with limited AI exposure, it demystifies artificial intelligence tools and demonstrates how they can streamline workflows, enhance productivity, and spark innovation across all business functions regardless of technical background.
Technical Context and Examples
Participants will explore the evolving landscape of AI technologies with a focus on large language models (LLMs) like ChatGPT, Claude, Grok, and open-source alternatives like Llama and Phi. Through guided exercises, attendees will discover how these tools can transform everyday tasks such as drafting emails, summarizing meetings, generating creative content, processing data, and conducting research. Real-world examples include automating routine correspondence, extracting insights from customer feedback, creating professional presentations, and developing internal documentation—all significantly faster than traditional methods. Special attention is given to using AI in multiple languages, ensuring relevance across global operations.
Detailed Explanation of Core Concepts
The course begins with AI fundamentals and model types before progressing to advanced prompt engineering techniques. Participants will learn effective prompting strategies, understanding context windows, leveraging system prompts, and utilizing chain-of-thought approaches. The curriculum emphasizes practical skills development through interactive workshops where attendees immediately apply concepts to their specific role-based scenarios. Each module includes guided practice sessions, collaborative problem-solving, and personalized feedback. The course covers responsible AI usage, recognizing limitations, fact-checking, and maintaining appropriate human oversight. Privacy considerations, data security, and organizational policy compliance are thoroughly addressed to ensure ethical implementation.
Tentative agenda of the course
– Module 1: AI Foundations (2 hours)
– Introduction to AI and large language models
– Overview of available AI tools and their strengths/weaknesses
– Understanding model capabilities and limitations
– Hands-on activity: First interactions with different AI platforms
– Module 2: Basic Prompt Engineering (3 hours)
– Crafting effective prompts
– Working with multiple languages effectively
– Context management and conversation design
– Hands-on activity: Role-specific prompt writing workshop
– Module 3: AI for Communication & Content Creation (3 hours)
– Email and business writing assistance
– Meeting summaries and note-taking
– Creative content generation
– Multilingual content adaptation
– Hands-on activity: Creating department-specific content templates
– Module 4: Research & Information Synthesis (2 hours)
– Conducting research with AI assistants
– Fact-checking and information verification
– Summarizing complex information
– Hands-on activity: Research challenge in participants’ domains
– Module 5: AI-Enhanced Productivity (3 hours)
– Workflow automation opportunities
– Integration with existing tools and processes
– Time-saving techniques and best practices
– Hands-on activity: Process optimization workshop
– Module 6: Implementation & Future Planning (3 hours)
– Developing an AI adoption strategy
– Ethical considerations and company policies
– Future trends and continuous learning
– Hands-on activity: Creating a personal AI implementation plan
Conclusion and Unique Value
Unlike theoretical AI courses, this program focuses exclusively on practical applications that deliver immediate value in day-to-day operations. Participants will leave with a personalized implementation plan, custom prompt templates for their specific roles, and the confidence to independently explore new AI use cases. By emphasizing hands-on exercises in a supportive environment, the course transforms intimidation into inspiration, empowering employees to
| Category | Details |
|
Developed skills |
Participants will acquire knowledge and skills, including: |
| Skill 1: Distinguishing between various AI models and selecting the appropriate tool for specific tasks
Skill 2: Crafting effective prompts across multiple languages to achieve desired outcomes Skill 3: Implementing AI tools for streamlining communication and content creation Skill 4: Conducting efficient research and information synthesis using AI assistants Skill 5: Critically evaluating AI outputs and implementing appropriate verification procedures Skill 6: Identifying opportunities for AI implementation in existing workflows Skill 7: Developing strategies for responsible and ethical AI adoption Skill 8: Teaching and supporting colleagues in basic AI implementation| |
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| Learning Methods Used | Interactive lectures, guided hands-on exercises, collaborative workshops, role-based scenario practice, peer learning groups, personalized coaching |
| References/Resources | Official documentation for ChatGPT, Claude, Grok, Llama, Phi, DeepSeek
Anthropic’s Prompt Engineering Guide (https://docs.anthropic.com/claude/prompt-engineering) OpenAI’s Best Practices for Prompt Engineering (https://platform.openai.com/docs/guides/prompt-engineering) “The AI Handbook for Business Professionals” (digital resource provided to participants) Custom multilingual prompt template library (provided as course material) AI Ethics Framework Documentation| |
| Overview Slides | Comprehensive slide deck provided digitally to all participants |