AI Tools
| Structure Type: | Study unit |
|---|---|
| Code: | TK00BR83 |
| Curriculum: | TK 2025 |
| Level: | Bachelor of Business Administration |
| Year of Study: | 2 (2026-2027) |
| Semester: | Autumn |
| Credits: | 5 cr |
| Responsible Teacher: | Ulvinen, Tero |
| Language of Instruction: | Finnish |
Learning Outcomes
The student will become familiar with AI tools and model operations, as well as their utilization in practical applications. The student will learn key tools, such as using AI frameworks and models at a general level, and will be introduced to various development environments, including local models, cloud services, and API interfaces. The course focuses on the fundamentals and application of tools and frameworks like TensorFlow, PyTorch, and large language models (LLMs). Students will also learn to evaluate model performance and leverage them innovatively in their own projects. The course emphasizes practical skills, ethical responsibility, and the application of AI solutions to various business and technological needs.
Prerequisites / Recommended Optional Courses
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Contents
AI Tools and Frameworks: TensorFlow, PyTorch, and their applications
Foundations and Practical Utilization of Large Language Models (LLMs)
Introduction to Development Environments: Cloud services, API interfaces, and their integration
Evaluating and Optimizing Model Performance in Various Application Contexts
Hands-on Exercises with AI Tools: Processing text, images, audio, and data
Ethical Considerations and Responsibility in the Use of AI Tools
Recommended or Required Reading and Other Learning Resources/Tools
Current materials announced by the instructor.