Introduction to AI in Bioinformatics A1N

<p>Are you curious about how artificial intelligence can help solve some of biology’s biggest challenges? In this course, you’ll learn how machine learning – with a special focus on deep learning – can be applied to analyze complex biological data, such as gene expression or image analysis. You’ll gain a deeper understanding of how different AI methods work, and when it’s most appropriate to use supervised or unsupervised learning. Through hands-on exercises, you’ll use modern programming platforms and libraries to build, train, and evaluate AI models. You'll work with real biological problems and learn how to properly prepare and structure data to get meaningful results. Version control, model evaluation, and method selection are all integral parts of the course. We also discuss the opportunities and limitations of using AI in biological research. Whether you want to pursue a career in research, work in the biotech industry, or simply understand how AI works in practice, this course provides a solid foundation. You’ll gain both theoretical knowledge and practical skills – a combination that is highly relevant in today’s and tomorrow’s job market. In short: this is a course for those who want to help shape the future of biology through AI.</p>