AI Foundations: Python
This beginner-friendly course introduces the fundamentals of Python programming. In two months, you will learn core concepts, practice with real-world tasks, and build a strong foundation for data analysis, machine learning, and further study in AI.
1
Students
16
Lectures
Rajabova Dalila
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.
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.
Rajabova Dalila
1
Courses
1
Students
Curriculum Overview
This course includes 1 modules, 16 lessons, and 0 hours of materials.
Basic Python
16 Parts
Lesson 1
Volume
850 MB
Test1
sdfsdbbh
Minimum Grade
75
Total Grade
100
Deadline
0 Days
Attempts
0
Lesson 2
Volume
440 MB
Lesson 3
Volume
622 MB
Lesson 4
Volume
583 MB
Lesson 5
Volume
558 MB
Lesson 6
Volume
604 MB
Lesson 7
Volume
737 MB
Lesson 8
Volume
607 MB
Lesson 9
Volume
689 MB
Lesson 10
Volume
770 MB
Lesson 11
Volume
549 MB
Lesson 12
Volume
450 MB
Lesson 13
Volume
547 MB
Lesson 14
Volume
870 MB
Test 2
dasd
Minimum Grade
75
Total Grade
100
Deadline
0 Days
Attempts
0
0
0 Reviews
Content Quality (0)
Instructor Skills (0)
Value for Money (0)
Support Quality (0)
Course Specifications
Sections
1
Lessons
16
Capacity
30 Students
Duration
240:00 Hours
Students
1
Created Date
29 Jan 2026
Updated Date
3 Feb 2026
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