Advanced Python Apps Desktop Database Web Lo094032 Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a comprehensive introduction to building real-world Python applications across desktop, web, and database environments. Designed for learners with basic Python knowledge, it spans approximately 16-20 hours of content across six modules. You’ll gain hands-on experience through labs, guided projects, and case studies, learning to develop, test, and deploy scalable applications using modern tools and best practices. Ideal for aspiring developers aiming to strengthen full-stack and backend development skills.
Module 1: Development Environment & Tools
Estimated time: 3 hours
- Introduction to key concepts in development environment & tools
- Setting up Python and essential development tools
- Using virtual environments and package managers
- Hands-on exercises applying development environment & tools techniques
- Interactive lab: Building practical solutions
Module 2: Core Programming Concepts
Estimated time: 2 hours
- Introduction to key concepts in core programming concepts
- Review of Python syntax and control structures
- Case study analysis with real-world examples
- Guided project work with instructor feedback
Module 3: Data Structures & Algorithms
Estimated time: 4 hours
- Introduction to key concepts in data structures & algorithms
- Implementing lists, dictionaries, sets, and tuples effectively
- Applying algorithmic thinking to solve problems
- Hands-on exercises applying data structures & algorithms techniques
- Discussion of best practices and industry standards
Module 4: Application Architecture
Estimated time: 3 hours
- Introduction to application design patterns
- Hands-on exercises applying application architecture techniques
- Discussion of best practices and industry standards
- Designing modular and maintainable code
Module 5: Testing & Quality Assurance
Estimated time: 4 hours
- Introduction to key concepts in testing & quality assurance
- Writing unit, integration, and end-to-end tests
- Implementing test-driven development (TDD)
- Guided project work with instructor feedback
- Discussion of best practices and industry standards
Module 6: Deployment & DevOps
Estimated time: 2 hours
- Review of tools and frameworks commonly used in practice
- Deploying Python applications to production environments
- Case study analysis with real-world examples
- Guided project work with instructor feedback
Prerequisites
- Familiarity with basic Python programming concepts
- Understanding of fundamental programming constructs such as variables, loops, and functions
- Basic computer literacy and comfort using a development environment
What You'll Be Able to Do After
- Build scalable desktop, web, and database-driven applications using Python
- Design and implement RESTful APIs and microservices architectures
- Apply object-oriented and functional programming paradigms effectively
- Implement comprehensive testing strategies including unit, integration, and end-to-end tests
- Deploy and manage Python applications using DevOps best practices