Course Duration
01
4 Months
Structured learning path
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Curriculum
02
18 Modules
Step-by-step learning
Hands-On
03
Real-Time Projects
Build practical applications
Career Support
04
Interview Prep
Placement-focused guidance
Complete Curriculum
Python Full Stack Learning Roadmap
18 practical modules planned across a 16-week learning path. Click any module to view the topics covered.
Modules
Month 1
Month 2
Month 3
Month 4
Learning Plan
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
W13
W14
W15
W16
Python Programming Fundamentals
- Python setup, IDE and execution flow
- Variables, data types and operators
- Input/output and type casting
- Control statements and loops
- Logic building and pattern programs
Python Data Structures
- Strings and string methods
- Lists, tuples and sets
- Dictionaries and nested collections
- List comprehension and slicing
- Practical data handling programs
Functions, Modules and Packages
- Defining reusable functions
- Arguments, return values and scope
- Lambda, map, filter and reduce
- Built-in modules and custom modules
- Package structure and virtual environments
Object-Oriented Programming in Python
- Classes, objects and constructors
- Instance, class and static methods
- Inheritance and polymorphism
- Encapsulation and abstraction
- Real-time OOP implementation examples
Advanced Python Programming
- Exception handling and custom exceptions
- File handling with text, CSV and JSON
- Decorators and generators
- Iterators and context managers
- Python coding standards and debugging
Database Development with SQL
- Database fundamentals and ER design
- SQL queries, joins and subqueries
- Indexes, views and stored procedures basics
- MySQL/PostgreSQL database practice
- Python database connectivity and CRUD operations
Frontend Web Development
- HTML5 page structure
- CSS3 styling and layouts
- Bootstrap responsive design
- JavaScript ES6 fundamentals
- DOM manipulation and form validation
Django Web Framework
- Django project and app structure
- URL routing, views and templates
- Models, migrations and admin panel
- Forms, sessions and authentication
- Django ORM and database operations
Advanced Django Development
- Class-based views and mixins
- Middleware and decorators
- Custom user model and role-based access
- Django signals and advanced forms
- Pagination, search and clean project structure
Django REST Framework
- REST API fundamentals
- Serializers and API views
- ViewSets, routers and permissions
- JWT authentication for APIs
- Postman testing and API documentation
Flask Web Framework
- Flask application setup and routing
- Jinja templates and static files
- Request handling and form processing
- Flask with SQLAlchemy database integration
- Building lightweight web applications
FastAPI Development
- FastAPI project setup and routing
- Pydantic models and data validation
- Async API development basics
- JWT authentication and dependency injection
- Swagger documentation and API testing
React JS with Python APIs
- React components and JSX
- Props, state and hooks
- React Router navigation
- Axios and REST API integration
- Connecting React with Django, Flask and FastAPI APIs
Version Control and Developer Workflow
- Git fundamentals and branching
- GitHub repository workflow
- Code review and pull requests
- Environment variables and dependency files
- Professional project documentation
DevOps and Deployment Fundamentals
- Linux commands for developers
- Shell scripting basics
- Nginx and Gunicorn/Uvicorn overview
- CI/CD pipeline concepts
- Production deployment checklist
Docker, Kubernetes and Cloud
- Docker images and containers
- Docker Compose for Python full stack apps
- Containerizing Django, Flask and FastAPI projects
- Kubernetes basics
- AWS cloud deployment overview
AI Tools for Python Developers
- ChatGPT for coding and debugging
- GitHub Copilot for productivity
- Cursor AI for project development
- OpenAI API basics
- AI-assisted testing, documentation and code review
Capstone Project and Interview Readiness
- Enterprise Python full stack project
- Frontend, backend and database integration
- Deployment with production workflow
- Resume, GitHub and LinkedIn profile building
- Mock interviews and technical interview practice
Select a module to view the detailed topics.
Hands-on Learning
Capstone Projects
Practice real application flows while building projects you can discuss during interviews.
We Learn – Groceries Application
We Learn – Food Application
We Learn – Banking Application
We Learn – Delivery Application
We Learn – Airlines Application
We Learn – LMS Application
Career Preparation
Build Job-Ready Profiles
Present your skills professionally across the platforms recruiters commonly review.
GitHub
Showcase code, projects, repositories and consistent development work.
Build a stronger professional identity and improve recruiter visibility.
Portfolio
Present your projects, technical skills and practical experience clearly.
AI Skills
Learn the AI Tools Used by Modern Developers
Use AI to code faster, solve problems, build projects, prepare for interviews and stay ready for modern software jobs.
✦ChatGPT
AIClaude
GeminiGitHub Copilot
Cursor AI
PerplexityAIOpenAI API
LangChain
🤗Hugging Face
Replit AIWindsurf AI
AI Agents
AI for Coding
Write, debug and understand code faster with modern AI coding assistants.
AI for IT Jobs
Prepare resumes, interviews, projects and workplace tasks using AI.
AI for Career Growth
Stay updated with tools used by developers, startups and product teams.
Student Outcomes
Our Alumni
Surya
Infosys
Farhath
L&T
Manasa
Capgemini
Sana Lekana
Tech Mahindra
Ganesh
Genpact
Gnaneshwar
Amazon
Ravi
Hexaware
Harinath
AdobeSurya
InfosysFarhath
L&TManasa
CapgeminiSana Lekana
Tech MahindraGanesh
GenpactGnaneshwar
AmazonRavi
HexawareHarinath
AdobeRavi
HexawareHarinath
AdobeSurya
InfosysFarhath
L&TManasa
CapgeminiSana Lekana
Tech MahindraGanesh
GenpactGnaneshwar
AmazonRavi
HexawareHarinath
AdobeSurya
InfosysFarhath
L&TManasa
CapgeminiSana Lekana
Tech MahindraGanesh
GenpactGnaneshwar
Amazon
Common Questions
Frequently Asked Questions
Everything you need to know about our Python Full Stack Training Program.
Python Full Stack Development includes frontend development, backend development using Python frameworks, database management, API development, deployment and complete web application development.
Students, graduates, working professionals, career switchers and beginners interested in software development can join this program. Prior programming experience is helpful but not mandatory.
Yes. The curriculum starts with Python fundamentals and gradually progresses to advanced Python, Django, Flask, FastAPI, React, databases, APIs, cloud deployment and real-time projects.
The program covers Python, HTML5, CSS3, Bootstrap, JavaScript, React JS, SQL, MySQL or PostgreSQL, Django, Django REST Framework, Flask, FastAPI, Git, GitHub, Docker, Kubernetes, AWS and AI-assisted development tools.
Yes. Learners complete practical assignments, mini projects and an enterprise-level capstone project covering frontend, backend, database, API integration and production deployment.
Yes. Separate modules are included for Django, Django REST Framework, Flask and FastAPI so learners understand both full-featured and lightweight Python web development approaches.
Yes. The curriculum includes React components, JSX, props, state, hooks, routing, Axios and integration with APIs built using Django, Flask and FastAPI.
Yes. The program includes resume preparation, GitHub and LinkedIn profile support, coding practice, mock interviews, technical interview preparation and placement assistance.
Yes. Eligible learners who complete the required modules, assignments, assessments and project requirements will receive a course completion certificate from Moltres Institute.
Complete the enrollment form on this page by entering your name, mobile number, email address and preferred webinar slot. The team will contact you with the next steps.
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