AI Foundations: Python
What will you learn in this course?
You will learn Python syntax, logical operators, loops, lists, dictionaries, and functions. You will also gain practical skills in working with strings, modules, and built-in libraries. The course introduces GitHub Copilot and includes a final project to bring everything together. Hands-on exercises reinforce each topic and help you build confidence.
This course develops algorithmic thinking and provides a strong foundation for further study in data analysis, machine learning, and other areas of artificial intelligence.
Why this course is useful:
Low entry barrier — suitable for learners with no prior programming experience
Practice-oriented approach — you apply new knowledge immediately
Step-by-step explanation of complex concepts in simple, accessible language
By the end of the course, you will be able to write Python code confidently, understand the basics of analytics, and be well prepared to continue learning in the field of artificial intelligence.
Omuzgor
About This Course
This course is designed for beginners and covers the fundamentals of programming in Python. Over the course of two months, you will learn the core elements of the language and gain hands-on experience working with variables, conditional statements, loops, functions, and data structures. The course combines theory with practice and includes many real-world tasks, allowing you to apply what you learn immediately. Even if you have never programmed before, the material is presented in a clear, step-by-step way that makes it easy to follow and understand.
What will you learn in this course?
You will learn Python syntax, logical operators, loops, lists, dictionaries, and functions. You will also gain practical skills in working with strings, modules, and built-in libraries. The course introduces GitHub Copilot and includes a final project to bring everything together. Hands-on exercises reinforce each topic and help you build confidence.
This course develops algorithmic thinking and provides a strong foundation for further study in data analysis, machine learning, and other areas of artificial intelligence.
Why this course is useful:
Low entry barrier — suitable for learners with no prior programming experience
Practice-oriented approach — you apply new knowledge immediately
Step-by-step explanation of complex concepts in simple, accessible language
By the end of the course, you will be able to write Python code confidently, understand the basics of analytics, and be well prepared to continue learning in the field of artificial intelligence.
Самсонов Александр
Curriculum Overview
This course includes 1 modules, 17 lessons, and 0 hours of materials.
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