Admissions are open for the Fall 2026 batches ΓÇö limited seats, apply today! Apply now
Duration
12 Weeks
Mode
Hybrid
Audience
Everyone
Certificate
Verified

The friendliest first language ΓÇö automate tasks, work with files and APIs, and build small apps with Python 3.

The Python Programming for Beginners program at ITA Academia is a 8-week, mentor-led track designed around real industry workflows. Every module combines live instruction with guided labs, and ends with a graded deliverable that goes straight into your portfolio.

What makes this course different

  • Project-based learning: you build real, demonstrable work ΓÇö not just slides and quizzes.
  • Industry mentors: taught by practitioners who are actively shipping in their domain.
  • Career systems: CV and portfolio reviews, mock interviews and placement support through our hiring-partner network.
  • Flexible pacing: morning, evening and live-online batches with recorded sessions for revision.

By the end of this course you will be able to

  • Understand variables, loops and functions
  • Work with lists, dictionaries and files
  • Use modules, pip and virtual environments
  • Automate boring tasks and call web APIs
  • Build a mini project with Tkinter or Flask

Certification

Graduates receive an ITA Academia verified certificate of completion and a transcript of assessed projects. Selected students are recommended to hiring partners and internship programs.

What you will learn

  • Understand variables, loops and functions
  • Work with lists, dictionaries and files
  • Use modules, pip and virtual environments
  • Automate boring tasks and call web APIs
  • Build a mini project with Tkinter or Flask

Who should attend

  • Beginners with no prior experience
  • Students of any discipline
  • Professionals and freelancers who want a practical, job-focused skill

Prerequisites

No prior experience required. Basic computer literacy and a laptop are recommended.

Course curriculum · 7 modules

Hands-on sessions, guided labs and a graded assignment covering python setup & basics.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering control flow & functions.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering data structures.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering files & error handling.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering modules & packages.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering apis & automation.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review

Hands-on sessions, guided labs and a graded assignment covering mini project.

  • Concepts & live demo
  • Guided lab exercise
  • Assignment & review
Dr. Sarah Ahmed

Dr. Sarah Ahmed

Python & Research Analytics Instructor · ex Jazz

Sarah bridges academia and industry ΓÇö she supervises MS/PhD research analysis and teaches Python for data-driven decision making.

Python AutomationData AnalysisResearch Statistics
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