Python and Flask Framework Training & Internship

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About The Course

A hands-on Python and Flask training and internship program designed to help you build secure, scalable backend applications. Gain real-world experience using Python, Flask, REST APIs, and databases while learning how modern backend systems are developed, deployed, and maintained.

Key points

Lessons of the Course

Module1: CORE PYTHON & DATABASE FOUNDATIONS
 
Python Fundamentals & Tooling
  • Python Essentials
  • Variables, control flow, loops, functions
  • Object-Oriented Programming basics
  • Environment: Python 3.9+, virtual environments (venv / Conda)
  • Tool: VS Code / PyCharm, pip
  • Project: Build a CLI application with file I/O and user input
  • Data Structures and Collections
  • Lists, Tuples, Dictionaries, Sets
  • Advanced Python: Decorators, Generators, Context Managers
  • Tool: pytest for unit testing
  • Project: Implement a simple Inventory Management System using Dictionaries and Sets
Data Structures / Algorithms & Version Control
  • DS and Algo in Python
  • Data Structures: Stacks, Queues, Linked Lists, Hash Tables
  • Algorithms: Sorting (Merge Sort, Quick Sort)
  • Searching (Binary Search)
  • Recursion
  • Focus on time and space complexity analysis (Big O notation)
  • Object-Oriented Programming in Python
  • Classes, Objects
  • Inheritance, Polymorphism
  • Application: Design a reusable logging framework
  • Version Control with Git
  • Commits, branches, merging
  • Pull requests and GitHub workflows
  • Project: Create a portfolio repository with proper structure for coding challenges
Module 2: Relational Databases & ORMs

SQL & Relational Database Design
  • Structured Query Language (SQL)
  • Basic Queries: SELECT, WHERE
  • Data Manipulation: INSERT, UPDATE, DELETE
  • Aggregate Functions
  • Advanced SQL: JOIN operations, Subqueries, Views
  • Database Connectivity
  • Introduction to relational databases (PostgreSQL / MySQL)
  • Database normalization and schema design
  • Library: Psycopg2 (for PostgreSQL) or similar connector
  • Project: Build a Python script to perform CRUD operations on a PostgreSQL database
ORMs & Data Persistence
  • SQLAlchemy (ORM)
  • Setting up models
  • Defining table relationships (one-to-many, many-to-many)
  • Performing complex queries using ORM syntax
  • Project: Migrate the database project to use SQLAlchemy instead of raw SQL
  • Database Migrations & Testing
  • Tool: Alembic for schema migrations
  • Unit testing the data access layer
  • Deliverable: Robust Python application with tested data layer and database migrations
End of Month Project
  • Database-driven Python console application
  • Example: Book Rental System
  • Uses advanced Python OOP, SQL, and an ORM
  • Deliverable: GitHub repository with Python code, database schema, and unit test coverage report
Module 3: FLASK WEB DEVELOPMENT & DEPLOYMENT

Introduction to Flask & API Core
  • Flask Basics
  • Request/Response cycle
  • Routing and view functions
  • Templates using Jinja
  • Setting up a Flask project structure
  • Tool: Postman / Insomnia for API testing
  • Project: Create a dynamic web page using Flask and Jinja templates
  • Building RESTful APIs
  • Using Flask-RESTful or Flask-Smorest for API structure
  • Implementing Controllers / Resources for a task management system
  • Project: Develop a CRUD REST API for the Month 1 project
Advanced Flask, Security & Testing
  • Database Integration
  • Integrating SQLAlchemy with Flask (Flask-SQLAlchemy)
  • Handling request body parsing and serialization (Marshmallow / Pydantic)
  • Project: Connect the Task Management API to a PostgreSQL database
  • Authentication & Security
  • User authentication with Flask-Login or JWT (Flask-JWT-Extended)
  • Implementing middleware for protected routes
  • Project: Secure the Task Management API with JWT authentication and role-based access
Full-Stack Integration & Deployment
  • Front-End Integration
  • Basic HTML, CSS, and JavaScript for client-side interaction
  • Connecting the Flask API using Fetch or Axios
  • Handling CORS and data exchange
  • Containerization & Deployment
  • Basics of Docker for development and production
  • Writing Dockerfile and docker-compose.yml for multi-service applications (app + database)
  • Tools: Docker, Render / AWS / Azure
  • Full-Stack Application & Testing
  • End-to-end integration of front-end and back-end
  • Integration testing using pytest and requests
  • Deliverable: Full-Stack application (Job Board or Simple Blog) deployed to a live URL
End of Month Project
  • Secure full-stack Flask application demonstrating API design, database persistence, and authentication
  • Full pipeline: Back-end API → Database persistence → Security implementation → Client integration → Cloud deployment
  • Deliverable: Live web application, GitHub repository, and deployment documentation
Module 4: ENTERPRISE PROJECT INTERNSHIP

Program Structure
  • Duration: 4 Weeks
  • This phase transforms the training into a real-world, industry-style work environment.
  • Students work on a large-scale Enterprise Project in teams.
  • Apply the full Python / Flask stack under Agile development principles.
  • Opportunity to contribute to Client Projects and gain production experience.
Mentorship & Collaboration
  • 1-on-1 Mentorship
  • Continuous guidance from senior Development Engineers throughout the project lifecycle
  • Remote Work Culture
  • Experience working in a professional remote team environment
  • Practice effective project collaboration and management
  • Agile Methodology
  • Daily standups and sprint planning
  • Task tracking using Jira / Trello
  • Working with Scrum frameworks
  • Code & Version Control
  • Professional workflows using GitHub
  • Version control, collaboration, and pull requests
Specialization & Readiness
  • Special Lectures
  • System Design
  • Cloud Management
  • Quality Assurance and Release Management
  • Technical Interview Preparation
  • HR interview preparation
  • Resume building
  • Hands-on experience with Job Portal Development
  • Portfolio Building
  • Final refinement of the Capstone Project
  • Transform the project into a professional portfolio piece
Job Consultation & Placement Support
  • Job Consultation
  • Dedicated career support provided until the candidate is hired
  • Terms & Conditions
  • Candidates with at least a B+ grade in the Training and Internship Project receive job consultations
  • Direct referrals from Excendra Alumni and partner companies
Enterprise Project Internship Deliverables
  • A fully functional production-ready application deployed with CI/CD
  • Technical project presentation before a review panel
  • Professional portfolio, optimized resume, and interview-ready knowledge base
TOOLS & LIBRARIES SUMMARY

Core Stack
  • Programming: Python 3.9+, SQL, HTML / CSS / JavaScript (Front-End Basics)
  • Back-End Framework: Flask, Flask-RESTful / Flask-Smorest
  • Database & ORM: PostgreSQL / MySQL, SQLAlchemy, Flask-SQLAlchemy, Alembic
  • Authentication: Flask-Login / Flask-JWT-Extended
  • Testing: pytest, requests, coverage.py
Tooling & DevOps
  • Version Control: Git, GitHub
  • IDE: VS Code / PyCharm
  • API Testing: Postman / Insomnia
  • Project Management: Jira / Trello
  • Deployment: Docker (containerization basics)
Assessment Structure
  • Weekly Projects (40%) – Hands-on implementation of core features
  • Mid-term Project (25%) – End-to-end Flask application development
  • Capstone Project (35%) – Industry-level solution with documentation and deployment
Differentiators of this Program
  • Zero to Deployment in 12 weeks
  • Industry Tools First – Learn the tools companies actually use
  • Project Portfolio – 8+ completed projects for GitHub
  • Deployment Focus – Every major model gets deployed

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Instructor

Teacher

Fred Adams

Senior Software & Enterprise Architect

This course includes:

$150

$450