⚡ Now Enrolling — New Batch Starting Soon
Python Full Stack
with AI
A comprehensive 1-year live training program covering Django, FastAPI, React.js, PostgreSQL, and deep AI integration with LangChain, HuggingFace, and vector databases. Built for engineers who want to build production-grade Python applications.
Python Full Stack
with AI
📅 1 Year · 240+ hours live
💻 Live Online — Weekday & Weekend
👥 Max 25 Students per batch
🎓 B.E./B.Tech/BCA/MCA Graduates
🤝 Placement Assistance included
⚡ Enrolling Now — Seats Limited
⚡ Enrollment is now open.
Seats are limited to 25 students per batch. Fill the form below to secure your seat.
Course Overview
Python is the Language of AI — Learn Both Together
Python dominates AI, data science, and backend development. This program teaches you to build full-stack Python applications with real AI capabilities — not just scripts, but production systems that companies actually ship.
1 Year
Program Duration
240+ Hours
Live Instruction
Max 25
Students Per Batch
AI-First
Curriculum Design
What You'll Build
Full Stack E-Commerce App
Django backend + React frontend + PostgreSQL + payments integration + deployed on AWS
AI-Powered Document Assistant
FastAPI + LangChain + vector database — upload docs, ask questions, get intelligent answers
Real-Time Analytics Dashboard
Python data pipelines + REST APIs + React charts — live data processing and visualization
Curriculum Preview
What You'll Learn — Module Overview
12 modules covering the complete Python full stack journey — from fundamentals to AI-integrated production apps.
Module 01
Python Fundamentals & OOP
- Python 3.12+ syntax — variables, loops, functions, comprehensions
- Object-Oriented Programming — classes, inheritance, dunder methods
- Decorators, generators, context managers
- Exception handling & file I/O
- Python standard library essentials
Module 02
Data Structures & Algorithms in Python
- Arrays, Strings, Linked Lists, Stacks, Queues
- Trees, Graphs, Heaps, Hash Maps
- Sorting, Searching & Recursion
- Dynamic Programming & Greedy Algorithms
- Interview-style problem solving in Python
Module 03
Database Design — PostgreSQL & SQLAlchemy
- Relational database design & normalization
- PostgreSQL — advanced queries, indexing, transactions
- SQLAlchemy ORM — models, relationships, migrations
- Introduction to MongoDB & Redis
- Query optimization & database performance
Module 04
Django — Full Stack Web Framework
- Django architecture — MVT pattern, ORM, admin
- Django REST Framework — serializers, viewsets, routers
- Authentication — session, token, JWT
- Celery for async tasks & background jobs
- Testing Django apps with pytest
Module 05
FastAPI — Modern Async Python APIs
- FastAPI fundamentals — async/await, pydantic models
- Building high-performance REST APIs
- Background tasks, WebSockets & streaming responses
- API documentation with OpenAPI/Swagger
- When to use FastAPI vs Django
Module 06
React.js Frontend Development
- JavaScript ES6+ essentials for Python developers
- React fundamentals — components, props, state, hooks
- React Router, Context API & state management
- Consuming Python APIs from React with Axios
- Building responsive UIs with Tailwind CSS
Module 07
Full Stack Integration & Project 1
- Connecting React to Django/FastAPI backend
- Authentication flows, file uploads, search & pagination
- Project 1: Full stack web app — E-Commerce / Job Board
- Code reviews & live debugging sessions
- Deployment on AWS Elastic Beanstalk
Module 08
Docker, AWS & CI/CD
- Docker — containers, images, Docker Compose for Python apps
- AWS — EC2, S3, RDS (PostgreSQL), IAM, Lambda
- CI/CD with GitHub Actions — test, build, deploy pipelines
- Nginx as reverse proxy for Django/FastAPI
- Monitoring with CloudWatch & Sentry
Module 09
AI Integration — LangChain & HuggingFace
- LLM fundamentals — how language models work
- LangChain — chains, memory, agents, tools & callbacks
- HuggingFace — using open-source models locally & via API
- Vector databases — Chroma, Pinecone, pgvector
- Building RAG pipelines — document ingestion to answers
Module 10
Project 2 — AI-Powered Python App
- Build an AI-integrated application end-to-end
- Example: Document Q&A Bot / AI Content Generator / Smart Search
- FastAPI backend + React frontend + vector DB + LangChain
- Deployed on AWS with Docker and CI/CD pipeline
- Live demo, peer review & instructor feedback
Module 11
System Design for Interviews
- Scalability, Load Balancing, Caching (Redis)
- Database sharding, replication & consistency
- Designing real systems — URL shortener, chat, feed
- Microservices with Python — design patterns
- Practicing system design interview questions
Module 12
Placement Prep, Resume & Mock Interviews
- 3 full mock technical interview rounds with feedback
- HR round preparation — common questions & answers
- ATS-optimized resume & LinkedIn profile workshop
- GitHub portfolio setup — all projects hosted publicly
- Job search strategy — portals, referrals & cold outreach
Why Python
Python Is the Language of the Next Decade
Python is the #1 language for AI/ML, data engineering, and backend development. If you want to work at the intersection of software and AI — Python is non-negotiable.
#1 Language for AI & ML
Every major AI framework — TensorFlow, PyTorch, LangChain, HuggingFace — is Python-first. If you're building AI products, you need Python.
FastAPI is the Fastest Growing Backend
FastAPI is now the most popular Python web framework by developer satisfaction. High-performance, async, and built for modern API development.
Massive Job Market
Python developer roles have grown 40%+ year-over-year in India. Startups, product companies, and MNCs are all hiring Python full stack developers.
Faster to Build, Easier to Read
Python lets you ship faster than most other languages. Clean syntax, massive ecosystem, and excellent readability make it ideal for both learning and production.
✅ Who This Program Is For
- Fresh graduates wanting to become Python full stack developers
- Engineers interested in AI/ML product development
- Java/other language developers switching to Python
- Developers wanting to add AI capabilities to their skillset
- Anyone targeting roles at AI-first startups or product companies
Your Mentor
Learn From a Working Professional
Not a trainer who has only trained — someone who has built and shipped software in the real world, and now brings that experience directly to you.
- 18+ years building large-scale applications, data engineering pipelines, and AI-integrated systems at product companies
- Senior Engineering Manager who has led teams, conducted hundreds of technical interviews, and made hiring decisions
- Founded KanvGlobal Academy to give every graduate access to real-world mentorship
VK
VenkateswaraRao Kanneganti
Founder, KanvGlobal Academy · Senior Engineering Manager · 18+ Years Experience
Venkat brings 18+ years of hands-on industry experience building large-scale Python applications, data engineering pipelines, and AI-integrated systems across leading product and enterprise companies. As a Senior Engineering Manager, he has led and mentored engineering teams, designed system architectures, and conducted hundreds of technical interviews. He founded KanvGlobal Academy to bridge the gap between what colleges teach and what the industry actually builds.