Core Programming in PythonPublished 9/2026
Created by Kannan Madhesan
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner |
Genre: eLearning |
Language: English |
Duration: 38 Lectures ( 4h 8m ) |
Size: 4.7 GB
⚡ Understand the role of Python in modern AI, Machine Learning, Data Science, and Intelligent Application Development.
⚡ Master Python programming fundamentals from beginner to intermediate level.
⚡ Work confidently with variables, data types, operators, control statements, and functions.
⚡ Develop problem-solving skills using real-world programming examples and exercises.
⚡ Implement Object-Oriented Programming concepts using Python.
⚡ Work with lists, tuples, dictionaries, sets, and advanced data structures.
⚡ Handle files, exceptions, modules, and packages effectively.
⚡ Build reusable, maintainable, and scalable Python applications.
⚡ Understand the programming foundations required for AI, Automation, Data Analytics, and Backend Development.
⚡ Prepare for advanced learning paths including Machine Learning, AI Development, Full Stack Development, APIs, and Intelligent Systems.
Requirements❗ No prior Python programming experience is required.
❗ Basic computer knowledge is sufficient.
❗ A Windows, Linux, or macOS computer with internet access.
❗ Willingness to learn programming concepts through practical exercises.
❗ Interest in AI, Software Development, Data Science, or Automation is helpful but not mandatory.
DescriptionThis course contains the use of artificial intelligence.
Core Programming in Python
Python has become one of the most important programming languages for Artificial Intelligence, Machine Learning, Automation, Data Science, Intelligent Applications, and Modern Software Development.
Core Programming in Python is designed as a foundational learning module within the AI Developer and AI Engineer learning pathway. This course helps learners build the programming skills required to develop intelligent applications, automation solutions, backend systems, and AI-enabled software platforms.
The course begins with Python fundamentals and gradually progresses toward object-oriented programming, modular development, problem-solving techniques, file handling, exception handling, and real-world programming practices.
Students will gain hands-on experience with variables, data types, operators, control structures, functions, collections, modules, packages, object-oriented programming, file operations, and advanced Python programming concepts.
The training methodology focuses on practical implementation, logical thinking, coding exercises, and real-world examples that help learners develop industry-ready programming skills.
This course serves as a strong foundation for advanced learning paths including
✅ Artificial Intelligence Development
✅ Machine Learning
✅ Data Science
✅ Intelligent Automation
✅ Full Stack Development
✅ API Development
✅ AI Agent Development
✅ Enterprise Software Development
By completing this course, learners will gain the confidence to build Python applications and prepare themselves for modern AI-powered software development environments.
Why Take This Course?
✅ Beginner-friendly learning approach
✅ Industry-oriented programming concepts
✅ Practical coding exercises and assignments
✅ Strong problem-solving focus
✅ AI Developer roadmap aligned curriculum
✅ Real-world programming examples
✅ Step-by-step instructor-led training
✅ Foundation for AI and intelligent application development
Who this course is for⭐ Aspiring AI Developers and AI Engineers.
⭐ Students interested in learning Python from scratch.
⭐ Software Developers looking to expand their programming skills.
⭐ Computer Science and Engineering Students.
⭐ Data Science and Machine Learning enthusiasts.
⭐ Full Stack Developer aspirants.
⭐ Automation and Backend Development learners.
⭐ Anyone who wants to build a strong programming foundation for AI-powered applications.
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