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Certified AI Prompting Expert

From language models to intelligent automation

Requirements:
  • Basic experience with using generative AI

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Who is the course for

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for the advancedArtificial intelligence is no longer just a buzzword - it is becoming a real tool for everyday work, but also a legal and security risk. This two-day course will take you through the advanced world of generative AI, from creating quality prompts to practical applications of AI in automation to regulatory and ethical dilemmas.

This course is for you if:

  • You already have experience with AI tools and want to use them more strategically

  • You want to automate advanced processes using AI

  • You are looking for proven methodologies and concrete examples of AI deployment in corporate practice

  • You need to deepen your knowledge of AI governance, security and integration into your organization's systems

What will you learn

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  • Develop your strategic thinking in the use of AI
  • Master advanced techniques for working with language models
  • Understand the legal, ethical and security aspects of AI
  • Learn how to design and implement automation using AI

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Timeline

First Day

09:00 – 17:00 Prompting, security and legislation in AI
  • Prompting 2.0 - expert user strategies
  • Chain-of-Thought, few-shot and multi-agent prompting
  • Context window and creative modes
  • Comparing LLMs (ChatGPT, Claude, Gemini) - strengths and weaknesses
  • Practical session: creating and debugging advanced prompts for different purposes
  • Scenarios: analytics, emails, legal research, crisis communication
Law, ethics and security
  • AI Act and what it means for EU companies
  • Prohibited vs. high-risk uses of AI
  • The roles of provider, deployer and user under the legislation
  • GDPR and the use of LLM - risks and data protection
  • Ethical dilemma: Bias, hallucination and liability
  • AI-related cybersecurity threats
  • Prompt injection, AI phishing, automated attacks
  • Workshop: risk analysis and design of internal rules for safe use of AI

Second Day

09:00 – 17:00 Automation and AI agents
  • LLM as part of workflows
  • Integration with Power Automate, Power Flow and Microsoft 365
  • Examples: reporting automation, email summarization, request management
  • Extensions using external data and APIs
  • How ChatGPT leverages its own knowledge base and external plugins
  • Workshop: designing and implementing micro-automation in your own environment
AI agents and the future of work
  • What is an agent (AutoGPT, Gemini AI)?
  • Architecture, workflow, task memory, tools
  • Examples of using agents in companies (planning, analysis, customer support)
  • Hands-on: Creating a simple AI agent in a no-code environment
  • Using LangChain/Flowise or Microsoft Copilot Studio
  • Debate: Where agents make sense vs. where they do harm
End of course
  • Presenting your own project proposals
  • Reflection on advanced knowledge and plan for further development of AI competencies
  • Recommendations on resources and community tools (Hugging Face, Papers with Code, AI newsletters)
  • Block length 90
  • Teaching hours 16
  • Refreshments Yes
  • Exam No

Day 1 will teach you how to work with language models at an expert level: you will learn techniques like Chain-of-Thought prompting, learn how to debug model outputs (including ChatGPT, Gemini and Claude) and understand how to use AI in analytical, legal and crisis communication. In the afternoon session, you will dive into the legal, ethical and security aspects of AI: the AI Act, GDPR, bias and cyber threats associated with generative models.

Day 2 focuses on practical automation using AI agents and integration with common tools (Microsoft 365, Power Automate). You will learn how to design micro-automations and create simple AI agents in a no-code environment. The end of the course includes a presentation of your own designs, sharing of experiences and recommendations for further development of AI skills.

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What role does AI play in project management?

Artificial intelligence (AI) is ushering in a new era of efficiency and effectiveness in project management. Project managers whose organizations fully embrace AI are 30% more likely to deliver on time, and 23% more likely to meet or exceed ROI estimates, according to a 2023 survey.

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Contains consolidated terms and definitions of thousands of managerial terms in the field of project, program, portfolio, risk, enterprise architecture, security and personal data protection.

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