Training Content

Fundamentals of Artificial Intelligence 

• What is artificial intelligence, where is it used today, and what is the difference between traditional and generative AI?
• Basic principles of how large language models (LLMs) work
• Current trends and applications of AI in the workplace

Generative AI in Practice 

• Typical use cases, including text generation, summarization, presentations, and analysis
• Limitations and risks of AI (accuracy, hallucinations, handling sensitive data)
• Recommendations for the safe and responsible use of AI

Effective Communication with AI (Prompt Engineering) 

• Basic principles of assigning tasks and formulating high-quality prompts
• Use of context and structured inputs
• Practical examples from managerial and administrative practice

Critical Thinking When Working with AI 

• How to Approach AI-Generated Answers
• Fact-checking, verifying sources, and identifying AI inaccuracies
• Best practices for working with AI outputs
• Building trustworthy, high-quality results with AI support

Microsoft Copilot in the Microsoft 365 Environment 

• Overview of Microsoft Copilot’s capabilities and features
• Effective use of Copilot in Teams, Outlook, Word, PowerPoint, and Excel
• Working with corporate information and documents

AI Agents in Microsoft 365 Copilot 

• What Copilot agents are and how they work
• Ways to use agents for teams, business processes, and automating repetitive tasks
• Creating a simple Copilot agent without programming
• Practical demonstrations of deploying agents within an organization

Practical Scenarios for Management and Administration 

• Preparing materials for decision-making, next steps, and action plans
• Creating presentations and reports
• Working with documents and internal documentation
• Summarizing meetings and streamlining communication and collaboration within the team