Python and Flask Framework Training & Internship

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

MONTH 1: CORE PYTHON & DATABASE FOUNDATIONS
 
Week 1-2: Core Python Programming & Data Structures/Algorithms
Learning Outcomes
  • Master fundamental Python syntax
  • Write professional-grade, clean, modular code
  • Implement core data structures and algorithms efficiently
Week 1: Python Fundamentals & Tooling
  • Day 1-2: Python Essentials
    • Variables, control flow, loops, functions, OOP basics
    • Environment: Python 3.9+, virtual environments (venv / Conda)
    • Tools: VS Code / PyCharm, pip
    • Project: CLI application with file I/O and user input
  • Day 3-5: Data Structures and Collections
    • Lists, Tuples, Dictionaries, Sets
    • Advanced Python: Decorators, Generators, Context Managers
    • Tool: pytest for unit testing
    • Project: Inventory Management System using Dictionaries and Sets
Week 2: Data Structures/Algorithms & Version Control
  • Day 1-3: DS and Algo in Python
    • Data Structures: Stacks, Queues, Linked Lists, Hash Tables
    • Algorithms: Merge Sort, Quick Sort, Binary Search, Recursion
    • Focus: Time and space complexity analysis (Big O notation)
  • Day 4: Object-Oriented Programming (OOP) in Python
    • Classes, Objects, Inheritance, Polymorphism
    • Application: Design a reusable logging framework
  • Day 5: Version Control with Git
    • Commits, branches, merging, pull requests, GitHub workflows
    • Project: Structured portfolio repository for coding challenges
Week 3-4: Relational Databases & ORMs
 
Week 3-4: SQL, Database Design & ORM with Python
Learning Outcomes
  • Write complex SQL queries including JOINs and subqueries
  • Design normalized relational database schemas
  • Integrate PostgreSQL/MySQL with Python applications
  • Use SQLAlchemy ORM for clean data access layers
  • Implement database migrations and test data layers professionally
Week 3: SQL & Relational Database Design
  • Day 1-2: Structured Query Language (SQL)
    • SELECT, WHERE, INSERT, UPDATE, DELETE
    • Aggregate Functions: COUNT, SUM, AVG, GROUP BY, HAVING
    • Advanced SQL: JOIN operations, Subqueries, Views
    • Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL
  • Day 3-5: Database Connectivity & Schema Design
    • Introduction to PostgreSQL / MySQL
    • Database normalization (1NF, 2NF, 3NF)
    • Schema design and relationship modeling
    • Library: Psycopg2 or equivalent database connector
    • Project: Python script performing full CRUD operations on PostgreSQL
Week 4: ORM & Data Persistence
  • Day 1-3: SQLAlchemy ORM
    • Setting up models and declarative base
    • Defining table relationships (one-to-many, many-to-many)
    • Performing complex queries using ORM syntax
    • Project: Refactor previous database project to SQLAlchemy
  • Day 4-5: Database Migrations & Testing
    • Tool: Alembic for schema migrations
    • Version-controlled database changes
    • Unit testing data access layer using pytest
    • Deliverable: Production-ready Python app with tested data layer
End of Month 1 Major Project
  • Build a Database-Driven Python Console Application (e.g., Book Rental System)
  • Use advanced Python OOP, SQL, and SQLAlchemy ORM
  • Implement database migrations with Alembic
  • Include unit tests with coverage report
  • Deliverable: GitHub repository with schema, code, and documentation
MONTH 2: FLASK WEB DEVELOPMENT & DEPLOYMENT

Week 5-8: Flask Fundamentals, Full-Stack Integration & Deployment
Learning Outcomes
  • Understand the web request/response lifecycle
  • Build secure RESTful APIs using Flask
  • Integrate PostgreSQL using SQLAlchemy
  • Implement authentication with JWT
  • Deploy full-stack applications using Docker and cloud platforms
Week 5: Introduction to Flask & API Core
  • Day 1-2: Flask Basics
    • Request/Response cycle, routing, view functions
    • Templates with Jinja
    • Flask project structure and configuration
    • Tool: Postman / Insomnia for API testing
    • Project: Build a dynamic web page using Flask & Jinja
  • Day 3-5: Building RESTful APIs
    • Flask-RESTful or Flask-Smorest for API structure
    • Designing Resources/Controllers
    • Implementing CRUD operations
    • Project: Develop a complete Task Management REST API
Week 6: Advanced Flask, Security & Testing
  • Day 1-2: Database Integration
    • Flask-SQLAlchemy integration
    • Database models and relationships
    • Request parsing and serialization (Marshmallow / Pydantic)
    • Project: Connect Task API to PostgreSQL database
  • Day 3-5: Authentication & Security
    • User authentication using Flask-Login or Flask-JWT-Extended
    • JWT-based stateless authentication
    • Role-based access control
    • Middleware for protected routes
    • Project: Secure Task API with JWT & role-based access
Week 7-8: Full-Stack Integration & Deployment
  • Day 1-2: Front-End Integration
    • Basic HTML, CSS, JavaScript fundamentals
    • Connecting Flask API using Fetch or Axios
    • Handling CORS and JSON data exchange
  • Day 3-4: Containerization & Deployment
    • Docker fundamentals for development and production
    • Writing Dockerfile and docker-compose.yml
    • Multi-service architecture (app + database)
    • Deployment platforms: Render / AWS / Azure
  • Day 5: Full-Stack Application & Testing
    • End-to-end integration testing
    • Integration testing using pytest and requests
    • Deliverable: Deploy Job Board or Blog application to live URL
End of Month 2 Major Project
  • Build a secure Full-Stack Flask application
  • Implement API design, database persistence, and authentication
  • Deploy to cloud using Docker
  • Complete pipeline: API → Database → Security → Front-end → Cloud
  • Deliverable: Live web app, GitHub repository, and deployment documentation
MONTH 3: ENTERPRISE PROJECT INTERNSHIP
 
Week 9-12: Enterprise Internship & Industry Immersion Phase
Duration & Structure
  • Duration: 4 Weeks (Week 9-12)
  • Transition into a real-world, industry-mimicking work environment
  • Team-based large-scale Enterprise Project
  • Apply full Python/Flask stack knowledge in production-style workflow
  • Opportunity to work on live Client Projects for real production exposure
  • Strict implementation of Agile principles
Mentorship & Collaboration
  • 1-on-1 Mentorship
    • Continuous guidance from senior Development Engineers
    • Code reviews and architecture discussions
    • Performance feedback throughout project lifecycle
  • Remote Work Culture
    • Professional remote collaboration experience
    • Task ownership and accountability
    • Communication best practices in distributed teams
  • Agile Methodology
    • Daily standups and sprint planning
    • Task tracking with Jira / Trello
    • Scrum framework implementation
  • Code & Version Control
    • Professional Git workflows
    • Branching strategies
    • Pull Requests and structured code reviews using GitHub
Specialization & Career Readiness
  • Special Lectures
    • System Design fundamentals
    • Cloud Management concepts
    • Quality Assurance & Release Management
  • Technical Interview Preparation
    • HR interview guidance
    • Professional resume building
    • Practical exposure through Job Portal Development simulations
  • Portfolio Building
    • Refinement of Capstone Project
    • Production-grade documentation
    • Architecture explanation readiness
Job Consultation & Placement Support
  • Job Consultation
    • Dedicated career support until candidate is hired
  • Terms & Conditions (T&C)
    • Minimum B+ grade required in Training & Internship Project
    • Direct referrals from Excendra Alumni & partner companies
Final Deliverable: Enterprise Project Internship
  • Fully functional, production-ready application
  • CI/CD-based deployment pipeline
  • Project presentation to a technical evaluation panel
  • Professional portfolio, optimized resume, and interview-ready knowledge base
TOOLS & LIBRARIES SUMMARY
 
Program Tech Stack, Assessment & Differentiators
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 comprehensive documentation and deployment
Differentiators of This Program
  • Zero to Deployment in 12 Weeks
  • Industry Tools First – Focus on tools and workflows used in real companies
  • Project Portfolio – 8+ completed production-ready projects on GitHub
  • Deployment Focus – Every major project is containerized and deployed

What Our Students Say

Share On:

Instructor

Fred Adams

Senior Software & Enterprise Architect

This course includes:

$150

$450