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Python for Artificial Intelligence

Python

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Number of lectures

20 Lectures

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Duration of Lectures

3 Months

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Lecture format

Google meets

Throughout this course, you will learn how to transform logical and mathematical thinking into real, executable code, process and analyze datasets using popular libraries (NumPy, Pandas, Matplotlib, Seaborn), and build interactive data management dashboards. 

What is the goal of the course? 

The goal of this course is for you to acquire the foundational knowledge and skills required for Python programming principles and data analysis. 

Who is this course for? 

No prior knowledge is required to participate in this training program. You must be a high school student (Grades 9 to 12 inclusive), have a strong interest and background in mathematics or logic, and have access to a computer and the internet. 

What will you know after completing the course? 

  • 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. 

Natia Porchkhidze

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Frequently Asked Questions

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