Python for Artificial Intelligence

20 Lectures
3 Months
Google meets
Transforming Mathematical Logic into Code: Standard foundational AI-First courses focus on rapid prototyping and using high-level tools. In this course, students directly connect mathematical concepts (functions, sets, vector operations, statistical distributions) to Python data structures and algorithms. Algorithmic Depth and Optimization: Rather than simply prompting AI to generate ready-made code, students understand the internal logic of the code, evaluate algorithm efficiency, structure data, and independently solve complex logical problems. Data-Driven Thinking: The course emphasizes seeing patterns within data, testing hypotheses, and making mathematically sound deductions—rather than simply building an application.

Who teaches me?
Natia Porchkhidze
check-circle-filled Machine Learning and AI Developer; Physicist.

