Python Full Stack with AI
Full-stack engineers who can ship AI features command the highest salaries in product companies right now — ₹15-30 LPA at mid-level, often crossing ₹50 LPA for senior roles. In three months of focused training you'll build a complete Python full-stack skill set: Django + FastAPI for the backend, React + Next.js for the frontend, PostgreSQL + MongoDB + Redis for data, plus deployment on AWS and Vercel. The AI layer is built in throughout — OpenAI/Claude APIs, embeddings, vector search, and semantic chat — so by the end you've shipped 3 portfolio projects that show you can build modern AI-powered SaaS.
What you'll learn
- Build production-ready Django + FastAPI backends with auth, payments, jobs
- Ship modern Next.js frontends with server components + streaming
- Design relational + NoSQL schemas + write migrations confidently
- Integrate OpenAI, Claude, embeddings, and vector search into your apps
- Build real-time features with WebSockets and event-driven patterns
- Deploy full-stack apps to AWS and Vercel with CI/CD pipelines
- Implement Stripe / Razorpay payment flows end-to-end
- Pass technical interviews covering coding + system design
- Land Full-Stack Engineer roles paying ₹8-25 LPA at product companies
Technologies Taught
Course Unique Features
- 3 production-grade portfolio projects: e-commerce, AI SaaS, real-time collab tool
- AI integration is built in from week 1, not bolted on at the end
- Modern Next.js App Router — the 2026 standard
- Daily 90-minute live coding sessions with real codebase reviews
- Build + deploy live to AWS / Vercel — your projects are live on the internet
- Trained by full-stack engineers with 10+ years of product experience
- Mock interview rounds: coding, system design, behavioural
- Resume + GitHub + portfolio polish — what hiring managers actually look at
- Direct referrals to product companies actively hiring
- Lifetime access to course material + reusable code templates
Job Opportunities
Top job positions you can apply for after completing this training.
| Job Role | Experience | Salary Range |
|---|---|---|
| 1. Python Developer | Fresher to 1+ Year | 3–5 LPA |
| 2. Junior Full Stack Developer | Fresher to 2+ Years | 4–6 LPA |
| 3. Backend Developer (Python) | 1 to 3+ Years | 5–8 LPA |
| 4. Full Stack Developer (Python) | 2 to 4+ Years | 6–10 LPA |
| 5. API Developer (Flask/FastAPI) | 2 to 5+ Years | 7–12 LPA |
| 6. Django Developer | 3 to 6+ Years | 8–14 LPA |
| 7. Software Engineer (Python) | 4 to 7+ Years | 10–16 LPA |
| 8. Senior Python Developer | 5 to 8+ Years | 12–18 LPA |
| 9. Lead Full Stack Developer | 7 to 10+ Years | 25–30 LPA |
| 10. Solution Architect / Tech Lead | 9 to 12+ Years | 30–40 LPA |
You Can Work As
Upcoming In-Demand Jobs
Course Curriculum
Python Full-Stack Training Objectives
7 topics
Python Full-Stack Training Objectives
- •Python Programming Fundamentals
- •Object-Oriented & Advanced Python
- •Web Technologies (HTML, CSS, JavaScript)
- •Flask Backend Development
- •Django Full Stack Development
- •Database & DevOps Fundamentals
- •Blockchain & Machine Learning Basics
Python Foundations
7 topics
Python Foundations
- •Python installation and environment setup
- •Variables, data types, and operators
- •Conditional statements and loops
- •Lists, tuples, sets, and dictionaries
- •Functions and scope
- •File handling
- •Exception handling and debugging
Web Technologies – HTML, CSS & JavaScript
11 topics
Web Technologies – HTML, CSS & JavaScript
- •HTML structure and semantic elements
- •CSS fundamentals:
- •Box model
- •Flexbox
- •Grid layout
- •Responsive design
- •JavaScript fundamentals:
- •Variables and functions
- •DOM manipulation
- •Events and form handling
- •Fetch API and asynchronous programming
AI Tools for Developers
4 topics
AI Tools for Developers
- •AI tools for code explanation and debugging
- •Refactoring and optimization assistance
- •Prompting techniques for developers
- •Ethical and responsible usage of AI tools
Flask Web Development
8 topics
Flask Web Development
- •Flask application structure
- •Routing and request handling
- •Jinja2 templates with HTML and CSS
- •JavaScript integration with Flask routes
- •REST API development
- •JSON handling
- •Authentication and authorization
- •Database integration
Django Full Stack Development
7 topics
Django Full Stack Development
- •Django project and app architecture
- •Models and Django ORM
- •Templates and static file management (CSS & JavaScript)
- •Form handling and validation
- •Authentication and admin panel
- •Django REST Framework (CRUD APIs)
- •Frontend interaction using JavaScript
Docker & Deployment Fundamentals
6 topics
Docker & Deployment Fundamentals
- •Docker concepts and architecture
- •Docker images and containers
- •Docker Compose
- •Environment variables
- •Deployment workflows
- •Introduction to CI/CD
Blockchain, Machine Learning & Capstone
13 topics
Blockchain, Machine Learning & Capstone
- •Blockchain architecture
- •Hashing and block creation
- •Consensus mechanisms
- •Smart contract fundamentals
- •Web3 concepts
- •JavaScript-based blockchain interaction
- •Machine learning workflow
- •Supervised vs. unsupervised learning
- •Regression and classification basics
- •Frontend using HTML, CSS, and JavaScript
- •Backend using Flask or Django
- •Database integration
- •Docker-based deployment
Course Instructed By
Experienced IT professional with 10+ years of industry expertise in Python Full Stack Development. Specializes in building scalable web applications, backend systems, and real-world software solutions. His core strengths include Python development, data engineering & machine learning concepts. Focuses on hands-on, practical training & projects. His teaching approach helps learners—from freshers to experienced professionals—become job-ready and industry confident. Approved trainer by Raj Cloud Technologies.
Approved trainer by Raj Cloud Technologies
Course content
Lifetime access
Watch at your own pace
Certificate included
On 100% completion
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