Practical Introduction to AI in Business Training Course

Module 1: Overview of the AI Revolution – Key Considerations for Government Agencies (3h)

• Introduction to artificial intelligence: defining core concepts and assessing their relevance for public sector operations
• Global AI trends: analyzing how artificial intelligence is reshaping economic sectors, the workforce, and administrative management for government entities
• Current capabilities of AI: identifying high-impact, efficient, and specialized AI tools applicable to public services
• Multimedia generation capabilities using advanced AI models (DaLL-E, Midjourney, Sora, Runway, ElevenLabs, Udio)
• The ecosystem of AI solutions for the public sector – evaluating tool aggregators and specialized applications
• No-code process automation platforms (Make, Zapier) – exploring potential applications for workflow optimization

Module 2: Fundamentals of AI Technology – Theoretical Frameworks and Practical Implementation (1h)

• Accessible overview of AI technologies – covering machine learning, neural networks, and large language models (LLMs)
• Operational mechanics of LLMs: examining Natural Language Processing (NLP) and predictive token generation
• The role of NLP in modern service delivery and public sector efficiency.
• Comparative analysis of major LLMs (ChatGPT, Claude, Google Gemini, MS Copilot, DeepSeek, Grok) – assessing capabilities, distinct features, and use cases
• Key limitations of AI (hallucinations, algorithmic bias, knowledge gaps) and strategies for mitigation

Module 3: Practical Workshops – Initial Application of ChatGPT (4h)

• Review of the ChatGPT interface and core functional capabilities
• Data privacy protocols when utilizing ChatGPT – configuring data controls and memory settings
• Developing effective prompts – incorporating instructions, context, persona, and tone
• Generating and refining official documents and content with AI assistance
• Creating public communication and outreach materials
• Conducting market analysis, competitive assessment, and stakeholder prospecting
• Streamlining the preparation of formal proposals and offers
• Generating reports, performing data analysis, and creating visualizations
• Supporting strategic planning, brainstorming, and creative processes

Module 4: Effective AI Collaboration – Best Practices in Prompt Engineering (3h)

• Introduction to prompt engineering: techniques for creating precise and effective commands for AI-based tools
• Core prompt engineering methodologies – one-shot, few-shot, chain of thought, tree of thought, decomposition, reflective prompts, and metaprompts
• Advanced procedural prompting for complex administrative tasks
• Utilizing advanced ChatGPT features – understanding model variations, DeepResearch, and Canvas
• Managing extensive context windows and structuring conversation flows
• Integrating organizational files to create contextual knowledge bases
• Leveraging AI for reporting, analytical insights, and data visualization

Module 5: Practical Workshops – Developing Customized AI Assistants (2.5h)

• Identifying specific operational problems suitable for AI assistance, tailored to the organizational context
• Hands-on development of a prototype AI assistant for selected professional applications
• Presentation and critical evaluation of the developed solutions

Module 6: AI Safety – Responsible and Compliant Use of Artificial Intelligence (1.5h)

• Mechanisms by which artificial intelligence systems process and utilize user data
• Reviewing privacy policies established by AI system providers
• Ensuring compliance with GDPR requirements in the context of AI utilization
• The AI Act – analyzing key provisions and regulatory requirements for AI in the European Union
• Intellectual property considerations for AI-generated content – current regulations and associated risks

Module 7: Practical Implementation of AI in Organizational Settings (1h)

• Change management in the AI era: essential components for integrating AI solutions within an organization
• Cultivating an AI-ready culture, addressing misconceptions, and promoting responsible attitudes toward AI
• Collaborative discussion: strategizing the implementation of AI tools within your specific organizational framework
• Course summary and question-and-answer session