Python Full Stack Development Course
60 Hours
Instructor Led
Career Guidance
About the Python Full Stack Development Full Course
AKIRA Global Technologies Python Full Stack Development course takes learners from web and programming fundamentals to building, testing and deploying production style full stack applications in just 60 hours. This full stack development course covers modern web foundations, Python core and advanced programming, SQL and PostgreSQL, Django, REST API design with Django REST Framework and FastAPI, React, and DevOps basics including Docker and cloud deployment.
Whether you are a fresher starting your programming journey, a career switcher moving into tech, a working web developer who wants backend and API skills, or a computer science student looking for practical project experience, this course is hands-on and project driven. Learners get live instructor led classes, weekly coding assignments, and two live projects that are built incrementally across the program so the frontend, backend and database layers are connected from early on instead of only in the final week.
This is not just a Python course on paper, it is a practical, engineering oriented program that keeps full stack integration, automated testing, security basics and deployment workflows woven through every module rather than saved for the end. The program closes with a capstone project, resume preparation and mock interview practice, so learners finish ready to apply for Full Stack Developer, Backend Developer and Python Developer roles.
| Course Details | Information |
|---|---|
| Duration | 60 Hours |
| Schedule | Monday to Friday, 60–90 minutes per session |
| Mode | Live Instructor Led (Online), with Lifetime Access to Recordings |
| Format | Live Classes + Code-Along Builds + Weekly Assignments + 2 Live Projects + Capstone Project |
| Level | Beginner to Job Ready |
| Delivery Split | Short concept walkthroughs paired with hands-on code-along builds; the majority of class time is spent writing, reviewing and debugging real code |
| Certification | Certificate readiness based on attendance, weekly assignment completion, live project delivery and participation in the final mock interview / project presentation |
| Tools Covered | Python, Django, Django REST Framework, FastAPI, PostgreSQL, React, Git/GitHub, VS Code/PyCharm, Postman, Docker |
Recommended Technology Baseline
The course is taught on a current, industry-aligned technology stack so the skills learners graduate with map directly to what full stack teams use in production today.
| Layer | Technology | Course Focus |
|---|---|---|
| Language | Python 3.14.x or supported stable 3.x | Syntax, OOP, typing, packages, testing, backend development |
| Backend | Django 6.x / supported stable Django | ORM, auth, server-side patterns, admin, production structure |
| APIs | Django REST Framework + FastAPI exposure | REST design, validation, auth, OpenAPI awareness |
| Database | PostgreSQL 18.x or supported stable release | Relational modeling, SQL, indexing, transactions |
| Frontend | React 19.x + modern JavaScript | Components, hooks, routing, forms, API integration |
| Tooling | Git, GitHub, VS Code/PyCharm, Postman | Collaboration, debugging, API testing and workflows |
| DevOps Basics | Docker + cloud deployment workflow | Containerization, environment variables, deployment basics |
Training Methodology
Concept
Short explanations tied to a real use case
Code-along
Trainer builds the feature live in class
Practice
Weekly assignments and debugging tasks
Project
Features are integrated into the live projects
Review
Code review and refactoring with the trainer
Interview
Interview questions linked to each module
Career
Resume and GitHub portfolio guidance
Assessment
Weekly checkpoints plus a final capstone review
Who Should Enroll?
What You'll Get
Training
- Modern Web Foundations & Python Core Training (19 Hrs)
- Advanced Python, SQL & PostgreSQL Training (13 Hrs)
- Django, REST APIs & FastAPI Training (15 Hrs)
- React, Integration & Deployment Training (13 Hrs)
Hands-on Experience
- Live Code-Along Classes Building Production Style Features
- Weekly Assignments and Debugging Practice
- 2 Live Projects With Real Deployment Exposure
Get Certified
- Weekly Checkpoints and Module Assessments
- Capstone Project Review and Presentation
- Certificate Readiness Based on Attendance, Assignments and Project Delivery
Real World Engineering Practices
- Git/GitHub Version Control and Pull-Request Style Workflow
- Automated Testing With Pytest and API Testing via Postman
- Docker Fundamentals and Cloud Deployment Workflow
Career Guidance
- Resume Preparation and GitHub Portfolio Presentation
- Module-wise Interview Question Bank
- Mock Interviews and Career Guidance Session
Practice Environment
- Lifetime Access to Class Recordings
- Trainer-led Code Reviews and Debugging Sessions
- Postman Collections and API Documentation Practice
Python Full Stack Development Course Syllabus
Prerequisites:
- Basic computer literacy
- No prior programming experience required, though it is a plus
- A laptop with internet access to join the instructor led sessions
| Module | Duration | Topics Covered | Tools/Project |
|---|---|---|---|
| Module 1: Modern Web Foundations | 7 Hours | Full stack orientation and environment setup, semantic HTML5 structure, CSS3 responsive layouts with flexbox and grid, UI systems and form validation, JavaScript essentials and the DOM, async JavaScript with fetch and HTTP concepts, Git/GitHub and team workflow | Git/GitHub starter project |
| Module 2: Python Core Programming | 12 Hours | Python syntax and execution model, data types and operators, lists/tuples/dictionaries/sets, control flow, functions, comprehensions and functional patterns, modules/packages/virtual environments, files and data formats (CSV/JSON), exception handling and debugging, object oriented Python (classes, inheritance, polymorphism) | Python, VS Code/PyCharm |
| Module 3: Advanced Python & Engineering Practices | 6 Hours | Modern typing and clean code, iterators/generators/decorators, dates/regex/standard library utilities, testing fundamentals with pytest, logging/configuration/environment variables, consolidated mini project with code review | pytest, Python mini project |
| Module 4: SQL & PostgreSQL | 7 Hours | Relational database fundamentals and ER modeling, PostgreSQL setup and SQL CRUD, filtering/sorting/functions, joins and relationship queries, grouping/subqueries/CTEs, indexes/constraints/transactions, database design lab | PostgreSQL |
| Module 5: Django Full Stack Backend | 9 Hours | Django architecture and project setup (MVT), models and the ORM, admin customization, views/URLs/templates, forms and validation, authentication and authorization, middleware/messages/email, testing and debugging, project refactoring for API readiness | Django, Django ORM |
| Module 6: REST APIs & Authentication | 6 Hours | REST API design principles, Django REST Framework basics (serializers, viewsets, routers), API authentication and permissions with JWT concepts, advanced API patterns (pagination, filtering, nested data), API testing and documentation, FastAPI industry exposure | Django REST Framework, Postman, FastAPI |
| Module 7: React Frontend Development | 7 Hours | React setup and component model, hooks and event handling, effects and API integration, routing and application structure, forms/validation/authentication UI, reusable state with custom hooks and Context, frontend quality and production build | React |
| Module 8: Integration, Quality, Security & Deployment | 6 Hours | End-to-end full stack integration (React + REST API + PostgreSQL), security/validation and production readiness, automated testing and a pre-release quality gate, Docker fundamentals, deployment and CI/CD basics, capstone demo with career launch prep | Docker, Live Project/Capstone |
Capstone Project (Included)
Live Project 1: Team Task & Issue Management System
A beginner-to-intermediate project built early in the course that focuses on CRUD operations, authentication, role-based permissions and full API/frontend integration.
Capstone Project 2
E-Commerce / Service Booking Platform
A portfolio grade capstone designed to demonstrate end-to-end architecture, business logic and deployment readiness.
Both projects are built incrementally across the course rather than crammed into the final week, so learners keep connecting Python, SQL, Django/REST and React module after module.
Weekly Assignment Plan
| Checkpoint | Assignment | Expected Evidence |
|---|---|---|
| Week 1 | Responsive web page with JavaScript interactions, pushed to a GitHub repository | GitHub commit, code demo and trainer review |
| Week 2 | Python problem set covering collections, functions, loops and debugging | GitHub commit, code demo and trainer review |
| Week 3 | OOP, files/JSON handling and a pytest-tested mini application | GitHub commit, code demo and trainer review |
| Week 4 | PostgreSQL schema design, 15–20 SQL queries and Django models | GitHub commit, code demo and trainer review |
| Week 5 | Django authentication, forms, ORM usage and REST CRUD APIs | GitHub commit, code demo and trainer review |
| Week 6 | React components, hooks, routing and API integration | GitHub commit, code demo and trainer review |
| Week 7 / Final | Capstone completion, automated tests, Docker/deployment checklist, presentation and mock interview | GitHub commit, code demo and trainer review |
Python Full Stack Development Admission Process
1
Fill Inquiry Form
Share your details and course interest
2
Counselling Call
Speak with our admissions team about your goals and fit
3
Get Course Access
Receive login credentials and join the orientation session
Requirements
Eligibility Criteria: prior coding experience is not required
- Basic computer literacy is required; programming experience is a plus but not mandatory
- Open to freshers, students, career switchers and working professionals from any background
Learn From Python Full Stack Industry Experts
PFST
Python Full Stack Trainer
Python
Django
REST API design
React development
PostgreSQL
Git/GitHub
Learning Outcomes
By the end of this Python Full Stack Development course, learners will be able to
Why This Curriculum Is Industry-Oriented
Assessment & Certification
Certificate Readiness Criteria
Suggested Interview Coverage
Python data model and mutability, functions, OOP, exceptions, generators/decorators, typing, testing
SQL joins/subqueries/indexes/transactions
Django request cycle/ORM/auth/security, REST design/status codes/JWT concepts
React hooks/state/effects/routing, HTTP/CORS/CSRF, Git workflows, debugging, Docker and project architecture.
Course Deliverables to Students
Live instructor-led classes, Monday to Friday
60-90 minute session format
Lifetime access to class recordings
Weekly assignments and coding practice
Interview question bank organized by module
Resume preparation guidance
Mock interviews
Live projects and portfolio support
Testimonials
What Our AI & Machine Learning Learners Say
Frontend Developer, now Full Stack Developer
I started with almost no programming background, and the step by step path from Python basics to a deployed full stack app gave me real confidence. The mock interviews were incredibly helpful before my actual interviews.
Fresher, placed as Junior Python Developer
Moving into tech felt overwhelming until this course broke everything into weekly, hands-on milestones. The capstone e-commerce project is now the centerpiece of my resume.
Career Switcher, previously in Marketing
The SQL and PostgreSQL module alone was worth it, but combining that with Django and React in one live project really tied my college learning to real engineering practice.
Computer Science Student
I already knew some Python, but the Django, DRF and React sections filled the exact gaps I needed to call myself a full stack developer. The Docker and deployment coverage was a great bonus.
Backend Developer upskilling into Full Stack
FAQ'S
Frequently Asked Questions
Enrollment / Business Enquiries
AKIRA GLOBAL TECHNOLOGIES PRIVATE LIMITED
Technology baseline verified against official course documentation; curriculum edition September 2026. Trainers may use the latest supported stable patch releases while preserving the stated learning outcomes.
The live project on Django and React helped me build a portfolio piece I could actually talk about in interviews. Watching the trainer code along in every session made concepts like REST APIs finally click.