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Web Development Intermediate Code: ITA-106

Full-Stack Python Development with Django

Build secure, data-driven web applications with Python, Django, Django REST Framework, PostgreSQL and modern front-ends.

★★★★★ 4.80 (478 students) Taught by Dr. Sarah Ahmed 1,296 views
Full-Stack Python Development with Django ΓÇö Web Development course at ITA Academia
Duration
12 Weeks
Mode
Hybrid
Audience
University (BS / MS / PhD)
Certificate
Verified

Build secure, data-driven web applications with Python, Django, Django REST Framework, PostgreSQL and modern front-ends.

The Full-Stack Python Development with Django program at ITA Academia is a 14-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

  • Write clean, idiomatic Python 3
  • Model relational data with Django ORM
  • Build APIs with Django REST Framework
  • Integrate React or HTMX front-ends
  • Deploy with Docker on cloud VPS

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

  • Write clean, idiomatic Python 3
  • Model relational data with Django ORM
  • Build APIs with Django REST Framework
  • Integrate React or HTMX front-ends
  • Deploy with Docker on cloud VPS

Who should attend

  • BS / MS / MPhil / PhD students and fresh graduates
  • Final-year project and thesis students
  • Professionals switching into a tech career

Prerequisites

Basic programming or domain knowledge is recommended. A short readiness quiz is provided during admission.

Course curriculum · 8 modules

Hands-on sessions, guided labs and a graded assignment covering python refresher & virtual environments.

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

Hands-on sessions, guided labs and a graded assignment covering django models, views & templates.

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

Hands-on sessions, guided labs and a graded assignment covering forms, auth & admin.

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

Hands-on sessions, guided labs and a graded assignment covering django rest framework.

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

Hands-on sessions, guided labs and a graded assignment covering postgresql & query optimisation.

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

Hands-on sessions, guided labs and a graded assignment covering front-end integration.

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

Hands-on sessions, guided labs and a graded assignment covering docker & deployment.

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

Hands-on sessions, guided labs and a graded assignment covering capstone 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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