Portfolio project
Ship a real product you can show in interviews.
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Python Software Engineering Mastery
The program includes live coding sessions, recorded lectures, weekly assignments, quizzes, practical labs, code reviews, and dedicated student support.
Duration
12 Weeks (3 Months)
Upcoming batch
Batch 01 — Registration Opening Soon
Class timing
Flexible Evening Batches (Schedule shared upon enrollment)
Format
Live Interactive Classes + Recorded Lectures + Dedicated Support Group
Level
Beginner
Program overview
Python Software Engineering Mastery is a comprehensive 3-month, project-based training program by Faran Digital Academy. Designed for complete beginners, the course provides a structured journey from basic programming concepts to building functional desktop applications. Students will develop programming logic, work with databases, automate everyday tasks, create graphical interfaces, explore AI integrations, and build portfolio-ready Python projects using professional development practices. The program includes live coding sessions, recorded lectures, weekly assignments, quizzes, practical labs, code reviews, and dedicated student support.
Fee & billing
Billing note: Full 12-week access · Includes Certificate
Fee paid via bank transfer.
What's included
- 36 Live Interactive Coding Sessions
- Recorded Lectures & LMS Access
- Hands-on Real-World Python Projects
- 1-on-1 Mentorship & Code Review
- Python Fundamentals & Logic Building
- Object-Oriented Programming (OOP)
- SQLite Database Integration
- Modern Desktop GUI Development
- Python Automation & REST APIs
- Introduction to AI Integration
- GitHub Portfolio Building
- Weekly Quizzes, Assignments & Tasks
- Final Capstone Software Project
- Certificate of Completion
Who is this for?
- Complete beginners with zero programming experience
- College and university students
- Aspiring Python and software developers
- Students interested in AI and automation
- Future freelancers and technology professionals
- Learners interested in desktop application development
Who should join?
- Anyone interested in learning Python programming from scratch.
- No previous coding experience is required.
- Basic computer knowledge is recommended.
- Students willing to practice coding and complete projects.
- Learners interested in building practical software applications.
- A laptop or desktop computer is recommended for hands-on practice.
Learning outcomes
- Write, understand, and debug Python programs using modern development tools.
- Build programming logic using variables, conditions, loops, functions, and data structures.
- Develop reusable software using Object-Oriented Programming principles.
- Read, write, and manage TXT, CSV, and JSON files.
- Create Python automation scripts for real-world tasks.
- Extract and process publicly accessible data using Python libraries.
- Design and manage SQLite databases using SQL and CRUD operations.
- Build modern desktop applications using CustomTkinter.
- Connect desktop GUI applications with SQLite databases.
- Package Python desktop applications into Windows executable files.
- Work with REST APIs and integrate introductory AI-powered features.
- Use GitHub and AI-assisted coding tools for software development.
- Build and present a complete Python desktop management application.
Learning outcomes
You will ship
Finish Python Software Engineering Mastery with portfolio work, a deployable build, and interview-ready storytelling.
Production deploy
Live URL, env, and release habits — not local-only demos.
Interview set
Story, stack talk, and project walkthrough ready for hiring.
Agency workflow
Deadlines, reviews, and standards used in real tech teams.
Syllabus
- 1Module 01: Python Fundamentals, Setup & Programming Logic
- 2Module 02: Python Data Structures & Collections
- 3Module 03: Functions, Modules & Error Handling
- 4Module 04: Object-Oriented Programming (OOP) Mastery
- 5Module 05: File Handling & Python Automation
- 6Module 06: Web Scraping & Data Extraction
- 7Module 07: SQL & SQLite Database Development
- 8Module 08: Modern Desktop GUI with CustomTkinter
- 9Module 09: Database-Driven Desktop Applications & Packaging
- 10Module 10: REST APIs & AI Integration with Python
- 11Module 11: Workflow Automation, GitHub & AI-Assisted Coding
- 12Module 12: Final Capstone Project, Portfolio & Career Preparation
Important
Limited seats are available to ensure personalized guidance and meaningful instructor feedback. Students should attend live sessions, complete weekly assignments, and participate in practical coding activities. Some optional cloud AI integrations may require separate API credits.
LMS add-on
LMS Access Included — Recorded Lectures, Weekly Quizzes, Coding Assignments, Practical Tasks, Project Submissions, Learning Resources, Progress Tracking & Instructor Feedback.