What will you learn in Python Developer Masters Program
Master Python programming from basics to advanced applications
Build real-world web apps using Django and Flask frameworks
Learn data handling, visualization, and working with databases
Develop RESTful APIs, automate tasks, and integrate DevOps tools
Prepare for roles like Python Developer, Full Stack Engineer, or Automation Expert
Program Overview
Module 1: Python Programming Certification
⏳ 3 weeks
Topics: Data types, functions, OOPs, file handling, exceptions
Hands-on: Build CLI tools and solve real-time programming problems
Module 2: Web Development with Django
⏳ 3 weeks
Topics: Django ORM, templating, views, forms, admin interface
Hands-on: Create a full-featured blog or e-commerce site
Module 3: Data Science with Python
⏳ 3 weeks
Topics: NumPy, pandas, matplotlib, scikit-learn basics
Hands-on: Analyze datasets and create data visualizations
Module 4: Python for Data Analysis
⏳ 2 weeks
Topics: Data wrangling, exploratory data analysis, advanced plotting
Hands-on: Perform analysis on structured/unstructured data
Module 5: Flask for Web Development
⏳ 2 weeks
Topics: Flask routing, templates, REST API design
Hands-on: Build RESTful services and integrate with front-end clients
Module 6: Git, Jenkins & DevOps Basics
⏳ 2 weeks
Topics: Version control, CI/CD pipelines, Docker basics
Hands-on: Create a CI/CD pipeline using Git and Jenkins
Module 7: Python for Automation Testing
⏳ 2 weeks
Topics: Selenium, PyTest, BDD with Behave
Hands-on: Automate testing of web apps using Python frameworks
Module 8: Capstone Project ⏳ 2 weeks
Topics: End-to-end development and deployment of a real-world application
Hands-on: Use Flask/Django, database, API, and automation tools
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Job Outlook
Python is among the top in-demand languages for web, data, and automation roles
Popular roles: Python Developer, Automation Engineer, Web Developer, Data Analyst
Average salary: $85,000 to $130,000+ depending on role and experience
Strong freelance and full-time opportunities across industries
Specification: Python Developer Masters Program Course
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FAQs
- Yes, it’s beginner-friendly with structured foundational modules.
- Prior exposure to logic and basic programming helps.
- Python basics are taught from scratch before advanced projects.
- Extra practice with online Python exercises is recommended.
- Beginners can transition into web and data roles by the end.
- Includes practical projects for each module (web, data, automation).
- Capstone project simulates full development and deployment lifecycle.
- Covers Git, Jenkins, and CI/CD pipeline creation.
- Builds familiarity with APIs, databases, and testing workflows.
- Portfolio-ready code samples for interviews and freelancing.
- Core Python modules apply to all domains.
- Web dev modules use Django and Flask for full-stack work.
- Data modules introduce NumPy, pandas, and scikit-learn.
- Automation testing and DevOps are available for specialization.
- Career path guidance helps decide next learning steps.
- Blog or e-commerce website using Django.
- RESTful API with Flask integration.
- Data visualization dashboards using matplotlib and pandas.
- Automation scripts using Selenium and PyTest.
- Final capstone combining web, data, and automation components.
- Dedicate 6–8 hours weekly for consistent progress.
- Follow one module per week using lifetime access.
- Focus on hands-on projects instead of passive learning.
- Review coding challenges to reinforce daily concepts.
- Use weekends for building and debugging your capstone project.
