Mastering AI for the Workplace: A Practical Guide to LLMs and Prompt Engineering
In-depth discussion with practical application focus
Easy to understand, practical, and action-oriented
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Dieser Kurs vermittelt ein praxisorientiertes Fundament für den sicheren und verantwortungsvollen Umgang mit Künstlicher Intelligenz in der Arbeitswelt. Er behandelt die Funktionsweise von Sprachmodellen, den Umgang mit Halluzinationen und Datenschutz, die Unterschiede zwischen gängigen KI-Tools wie ChatGPT und Gemini, sowie die Anwendung von KI in verschiedenen Berufsfeldern. Ein Schwerpunkt liegt auf dem Verfassen effektiver Prompts und dem Aufbau persönlicher KI-Workflows.
main points
unique insights
practical applications
key topics
key insights
learning outcomes
• main points
1
Praxisorientierter Ansatz zur KI-Nutzung in der Arbeitswelt.
2
Umfassende Abdeckung von KI-Grundlagen, Werkzeugen und Anwendungsfällen.
3
Fokus auf die Entwicklung effektiver Prompt-Engineering-Fähigkeiten.
• unique insights
1
Erklärung der Funktionsweise großer Sprachmodelle zur besseren KI-Anwendung.
2
Strategien zur Identifizierung von KI-Mehrwert in spezifischen Tätigkeitsbereichen und Aufbau persönlicher Workflows.
• practical applications
Bietet konkrete Anleitungen zur Anwendung von KI in Marketing, HR, Analytik, Entwicklung und Projektmanagement, inklusive Prompt-Engineering-Techniken und Werkzeugvergleich.
• key topics
1
Understanding Large Language Models
2
Responsible AI Use
3
Prompt Engineering
4
AI Tool Comparison (ChatGPT, Claude, Copilot, Gemini)
5
AI Applications in Business Functions
• key insights
1
Empowers users to become better AI users by understanding underlying principles.
2
Provides a structured framework for effective prompt writing applicable to any AI tool.
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Guides users in identifying and integrating AI into their daily workflows for maximum impact.
• learning outcomes
1
Understand the fundamental workings of large language models.
2
Effectively utilize AI tools like ChatGPT, Claude, Copilot, and Gemini for professional tasks.
3
Develop strong prompt engineering skills to achieve desired AI outputs.
4
Integrate AI into personal workflows to enhance productivity and efficiency.
Before effectively utilizing any AI tool, a foundational understanding of its underlying mechanisms is crucial. This section demystifies Large Language Models (LLMs), separating the hype from reality and providing a clear overview of how these models 'think.' It clarifies the distinctions between generative AI and traditional software, highlighting the unique capabilities of LLMs. By understanding the core principles of LLMs, users can make more informed decisions about AI tool selection and application, ensuring they harness the true potential of these technologies rather than being swayed by marketing buzz. This knowledge is the first step towards becoming a more proficient and discerning AI user.
“ Navigating the AI Tool Landscape
The quality of output generated by AI tools is directly proportional to the quality of the input provided. This section is dedicated to the critical skill of prompt engineering, teaching participants how to craft clear, structured, and effective prompts. It delves into the anatomy of a successful prompt, exploring core techniques such as defining roles, providing examples, and encouraging step-by-step thinking. The course emphasizes that interacting with AI is a conversation, not just a search query. Participants will learn to refine their prompts when initial results are not entirely accurate, mastering the art of diagnostic questioning to improve AI responses. Practical, ready-to-use prompts for common work tasks will also be provided, making this one of the most hands-on and impactful sections of the course.
“ Responsible AI: Risks, Limitations, and Ethical Use
This module focuses on the practical application of AI across various professional functions, demonstrating its versatility and value. Through real-world examples and case studies, participants will explore how AI can be leveraged in specific areas such as marketing, human resources, analytics, software development, and project management. The course provides actionable insights and ready-to-implement strategies for each domain, showing how AI can automate tasks, generate insights, enhance creativity, and streamline workflows. By the end of this section, learners will be able to identify specific opportunities within their own roles where AI can deliver significant value and drive tangible improvements.
“ Building Your Personal AI Workflow
This course is designed to offer an engaging and effective learning experience. It features 4 modules, 22 chapters, and an interactive environment with 39 tasks, ensuring hands-on practice. A dedicated AI assistant is integrated to provide support, answer questions, and help troubleshoot code. Upon completion, participants receive a shareable certificate, validating their newly acquired AI skills. The course structure is beginner-friendly, making complex AI concepts accessible to all. The platform itself offers an interactive coding environment where learners can write and execute code with real-time feedback, receive AI-powered guidance, and test their knowledge through quizzes, ensuring a comprehensive understanding of the material.
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