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

The friendliest first language - 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 - 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 - she supervises MS/PhD research analysis and teaches Python for data-driven decision making.

Python AutomationData AnalysisResearch Statistics
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