Python Developer Masters Program Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This comprehensive Python Developer Masters Program is designed to take learners from foundational concepts to advanced applications across web development, data science, and automation. The course spans over 18 weeks of hands-on, project-driven learning with lifetime access, guiding students through real-world applications and DevOps integration. With a structured path covering Python programming, Django, Flask, data analysis, and automation, this program demands consistent effort but delivers portfolio-ready skills. Each module includes practical labs and real-time projects to reinforce learning.
Module 1: Python Programming Certification
Estimated time: 21 hours
- Data types and variables
- Functions and control structures
- Object-Oriented Programming (OOPs)
- File handling and exceptions
Module 2: Web Development with Django
Estimated time: 21 hours
- Django ORM and database modeling
- Templating and views
- Form handling and validation
- Admin interface customization
Module 3: Data Science with Python
Estimated time: 21 hours
- Introduction to NumPy and arrays
- Data manipulation with pandas
- Data visualization using matplotlib
- Basics of scikit-learn for machine learning
Module 4: Python for Data Analysis
Estimated time: 14 hours
- Data wrangling techniques
- Exploratory data analysis (EDA)
- Advanced plotting and visualization
Module 5: Flask for Web Development
Estimated time: 14 hours
- Flask routing and request handling
- Templates and dynamic content
- REST API design with Flask
Module 6: Final Project
Estimated time: 14 hours
- Design and develop a full-stack application using Flask or Django
- Integrate a database and build RESTful APIs
- Deploy the application with automation and DevOps tools
Prerequisites
- Basic computer literacy
- Familiarity with fundamental programming concepts (helpful but not required)
- Consistent time commitment for hands-on practice
What You'll Be Able to Do After
- Build and deploy full-stack web applications using Django and Flask
- Analyze and visualize data using Python libraries
- Design and implement RESTful APIs
- Automate workflows and testing using Python frameworks
- Apply DevOps practices like version control and CI/CD pipelines