(in Polish) Artificial Intelligence – Practical Introduction to AI Usage for Data Science and Business 2400-ZEWW911

Class 1: Understanding AI
- Introduction to AI, LLM models, and their applications in data science.
- AI tools - demystifying the "magic" - how LLM models are build and trained.
- Critical overview of AI's pros and cons.
- Importance of creativity and its role in AI applications.
- Discussion on the repetitive nature of AI tasks.

Class 2-3: Efficient Communication with AI - Writing Effective Prompts
- Exploration of text-generating models like ChatGPT.
- Challenges of communication with LLM - concept of prompts.
- Importance and creation of well-crafted prompts.
- Practical prompt writing exercises on the example of ChatGPT / Bing.
- Creating roles and context for AI tasks.
- Examples and detailed prompt making for text generation.

Class 4-5: AI Applications Beyond Text - Generating Graphics, Sounds, Videos, and other
- Overview of AI applications beyond text generation.
- Introduction to various chatbots and other AI tools for graphics, voices, and videos.
- Discussion and brainstorming session about novel AI techniques.
- Hands-on experience with AI chatbots hosted on Discord and other platforms.
- Dedicated session for graphic generation.

Class 6-7: Critical Thinking and AI
- Importance of critical thinking in assessing AI-generated content.
- Practical exercises on assessing and verifying output from AI models.
- AI hallucinations - what is it, how to identify, how to improve.
- Analysing text for ideas, sources, and truth.
- Discussion on the evolving nature and the rising importance of critical thinking in the AI era.
- Critical thinking exercises in a workshop setting.

Class 8: Threats, Ethics, and Legal Considerations of AI
- Exploration of AI-related threats like deep fakes and misinformation.
- Examples of AI interference in media and political news.
- Techniques for recognising fake photos and videos.
- The role of critical thinking in addressing AI-related threats.
- Ethical considerations in academic and professional AI usage.
- Legal restrictions and considerations, including data secrecy and potential leakage.

Class 9-10: Academic and Data Analytics Usage. Can AI be an assistant in our job?
- AI as an assistant in academic settings, including text improvement and idea refinement.
- Discussion on where not to use AI due to issues with originality and academic ethics.
- Practical usage of AI in data analytics projects.
- Leveraging AI applications for repetitive tasks, while highlighting the importance of own style originality and developing human creativity.
- Discussion on limited trust in AI generated content - critical assessment of AI output.
- Using AI as an assistant for learning, writing and proofreading - speeding up your workflow and making it more efficient with the help of AI.

Class 11: Utilising AI Plug-ins and Understanding How They Work
- Overview of existing AI plug-ins for data science - examples and discussion.
- Integration of chat with plug-ins.
- Connecting chats to the internet for real-time information.
- Structure of AI plug-ins - how LLM model output can be linked to your applications.

Class 12: Using AI for Daily Life Use Cases
- Discussion about creative ways to leverage AI possibilities in daily life.
- Applying AI in daily life scenarios.
- Building trip plans, language learning, creating business models, and generating content for social media using AI.
- Is AI the new Google? Discussion and brainstorming on the relation between user-generated and AI-generated content in daily life applications.
- Can AI be your teacher? How to make the best of your AI assistant - learning new skills with AI, while critically considering its possible limitations.

Class 13-14: Winning with AI Transformation
- Identifying and practising the essential skills for success in the AI era.
- Developing critical thinking and creative skills.
- Building deep understanding of the opportunities and challenges of AI integration.
- Utilising AI as a personal assistant - becoming more efficient, and speeding up mundane tasks with AI automation.
- Utilising AI as a tool for personal and professional growth.
- Strategies for staying ahead in the rapidly evolving field of AI.

Class 15: Course Review and Reflection
- Recap of key concepts and skills learned.
- Reflection on personal growth and development throughout the course.
- Open discussion on future applications and trends in AI.

Assessment:
- Attendance at the lectures and participation in critical thinking discussions.
- Weekly assignments and practical exercises.
- Final project incorporating AI tools.