The emergence of artificial intelligence (AI) is revolutionizing how we approach drug discovery, offering powerful tools that complement traditional laboratory methods through the discovery of driving biological mechanisms. The talk aimed to demystify AI applications in life sciences, focusing on two transformative areas: image-based high-content screening and target discovery via deconvolving biological mechanisms of disease. Through real-world examples, Prof. Arvind Rao explored how AI transforms microscopy data into actionable insights, enabling researchers to analyze complex cellular phenotypes at unprecedented scale and speed. He showed how these same AI tools connect with target discovery platforms, creating a seamless pipeline from initial screening to target validation. Designed specifically for life scientists without requiring computational background, the presentation illuminated the practical benefits of AI tools in daily research workflows. He discussed how AI assists in analyzing vast libraries of compound effects on cells, identifying subtle patterns in biological responses, and prioritizing promising therapeutic targets. By the end of the talk, he highlighted a clear understanding of AI's role in modern drug discovery, learning how these tools can enhance their research without requiring expertise in programming or machine learning.