On-the-Job Certified Full Stack Python Developer

Course Overview

The On-the-Job Certified Full Stack Python Developer program at Worksbot Academy is a comprehensive, work-integrated certification designed to take learners from foundational programming concepts to expert-level full stack application development within a real industry environment.

This all-in-one program blends structured learning, continuous on-the-job training, live projects, Agile workflows, and expert mentoring, enabling learners to gain hands-on experience while mastering modern full stack technologies used by leading companies.

Participants develop complete web applications, work on production-like environments, and gain exposure to deployment, scalability, performance optimization, and system design — ensuring true job readiness upon completion.

Course Outline

Programming & Core Foundations

Python programming fundamentals, advanced Python concepts, object-oriented programming (OOP), data structures, algorithms, error handling, logging, modular programming, code optimization, and best coding practices using Python, VS Code, and PyCharm.

Frontend Development

Web development using HTML5, CSS3, responsive design principles, modern JavaScript (ES6+), component-based UI development with React.js, UI frameworks such as Bootstrap and Tailwind CSS, frontend state management, API integration, and performance optimization.

Backend Development & APIs

Backend application development using Django, Django REST Framework, Flask, and FastAPI, RESTful API architecture, authentication and authorization using JWT and OAuth, middleware implementation, API security, and scalable backend design.

Database & Data Management

Relational and NoSQL database management using MySQL, PostgreSQL, and MongoDB, database modeling, indexing, query optimization, transactions, and data security best practices.

Version Control & Collaboration

Source code management using Git and GitHub, collaborative development workflows, branching strategies, pull requests, code reviews, and issue tracking in Agile environments.

Testing, Quality & Performance

Unit testing and integration testing using PyTest, API testing, debugging techniques, performance tuning, caching mechanisms using Redis, and application optimization strategies.

DevOps, Deployment & Cloud

Containerization with Docker, web server configuration using Nginx, application deployment using Gunicorn, cloud hosting and infrastructure management with AWS (EC2, S3, RDS), CI/CD pipeline fundamentals, environment configuration, monitoring, and production support.

Architecture & Expert-Level Concepts

Microservices architecture, scalable system design, security best practices, load balancing, production debugging, log monitoring, and real-world problem solving in high-availability environments.