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Industry 5.0: Complete Full Stack Python + Enterprise Generative AI Program

Master Full Stack Python + AI with Django & Generative AI

From basic logic building and OOPs to building scalable web applications with Django, Django REST Framework, SQLAlchemy ORM, and Generative AI models. 100% placement support in Pune.

3.5 to 6 Months
Gen AI & LangChain
7+ Mini & Major Projects
100% Placement Drives
Real CJC Classroom Batch with Kunal Sonu Sir
Kunal Sonu Sir Live Classroom Lecture
CJC Campus Tech Event and Placements
Kunal Sonu Sir Seminar with Students
CJC Practical Coding Lab Session
4.9/5 Rating
Live Python Batch: Kunal Sonu Sir with Students
Top MNCs Hiring Python Graduates:
CJC EdTech
Capgemini
TCS
Infosys
Wipro
Cognizant
Tech Mahindra
Accenture
Oracle
IBM
Cisco
Intel
Persistent
Syntel
CJC EdTech
Capgemini
TCS
Infosys
Wipro
Cognizant
Tech Mahindra
Accenture
Oracle
IBM
Cisco
Intel
Persistent
Syntel

Enroll in Python Master Batch

Get Syllabus, Fees & Batch Timings

Core & Adv
Complete Python 3.12+
Django + DRF
Full Stack REST APIs
Data Science
& Machine Learning
100% Assist
Campus Placement Drives
250+ Hiring Partners

Top MNCs Hiring CJC Python & Data Engineers

Over 2,303+ CJC Graduates are working as Full Stack Python, Django & Data Science Specialists at leading IT giants across Pune, Bengaluru, Hyderabad & Mumbai.

CJC EdTech
Capgemini
TCS (Tata Consultancy Services)
Infosys
Wipro
Cognizant
Tech Mahindra
Accenture
Oracle
Persistent Systems
CJC EdTech
Capgemini
TCS (Tata Consultancy Services)
Infosys
Wipro
Cognizant
Tech Mahindra
Accenture
Oracle
Persistent Systems
IBM
Cisco
Intel
LTIMindtree
HCLTech
Syntel / Atos
Amdocs
Hexaware
Barclays
IBM
Cisco
Intel
LTIMindtree
HCLTech
Syntel / Atos
Amdocs
Hexaware
Barclays

Python Student Placement Interviews

Watch how non-IT switchers and freshers mastered Python & Django to land top offers at Persistent, Tech M, TCS & Capgemini.

Ajinkya Deshpande Persistent Review
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Ajinkya D. Persistent • 7.2 LPA
Quaiser Khan Tech Mahindra Review
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Quaiser K. Tech M • 6.0 LPA
Shubham Pore TCS Review
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Shubham P. TCS • 6.5 LPA
Prafulla Acharya Capgemini Review
Play Story
Prafulla A. Capgemini • 7.8 LPA
Ajinkya Deshpande Persistent Review
Play Story
Ajinkya D. Persistent • 7.2 LPA
Quaiser Khan Tech Mahindra Review
Play Story
Quaiser K. Tech M • 6.0 LPA
Shubham Pore TCS Review
Play Story
Shubham P. TCS • 6.5 LPA
Prafulla Acharya Capgemini Review
Play Story
Prafulla A. Capgemini • 7.8 LPA

Recent Python Alumni Placed with Salary Packages

Abhishek Itole Placed at Cornerstone - 8.5 LPA Java Developer
Kunal Bisen Placed at Siemens - 4.5 LPA Python Developer
Nimisha Karankal Placed at Blueflame - 5.0 LPA Technical Consultant
Arpitha Shetty Placed as Cloud Engineer - CJC EdTech
Tushar Sable Placed at Crave Infotech - 4.5 LPA Cloud Engineer
Vishal Bhume Placed at Cognizant - 3.12 LPA IT Analyst Trainee
Swapnil Tupe Placed at Kavya Infoweb - 3.12 LPA Software Engineer
Pankaj Sharma Placed at O3 Technology - 4.0 LPA Data Scientist
Shivam Patil Placed - 3.6 LPA Python Developer
Kajal Rathod Placed at PURATECH - 2.5 LPA Java Developer
Aniket Koshti Placed at TCS - 4.0 LPA System Engineer
Shilpa Mhetre Placed at SECZPAY - 4.3 LPA Java Developer
Vaibhavi Burkule Placed at SunONE - 3.0 LPA Java Developer
Dattatray Bamane Placed at Hexaware - 3.0 LPA Software Engineer
Abhishek Itole Placed at Cornerstone - 8.5 LPA Java Developer
Kunal Bisen Placed at Siemens - 4.5 LPA Python Developer
Nimisha Karankal Placed at Blueflame - 5.0 LPA Technical Consultant
Arpitha Shetty Placed as Cloud Engineer - CJC EdTech
Tushar Sable Placed at Crave Infotech - 4.5 LPA Cloud Engineer
Vishal Bhume Placed at Cognizant - 3.12 LPA IT Analyst Trainee
Swapnil Tupe Placed at Kavya Infoweb - 3.12 LPA Software Engineer
Pankaj Sharma Placed at O3 Technology - 4.0 LPA Data Scientist
Shivam Patil Placed - 3.6 LPA Python Developer
Kajal Rathod Placed at PURATECH - 2.5 LPA Java Developer
Aniket Koshti Placed at TCS - 4.0 LPA System Engineer
Shilpa Mhetre Placed at SECZPAY - 4.3 LPA Java Developer
Vaibhavi Burkule Placed at SunONE - 3.0 LPA Java Developer
Dattatray Bamane Placed at Hexaware - 3.0 LPA Software Engineer
100% Dedicated Placement Drive Support for all Full-Day Batch students Check Upcoming Batches

Who Should Learn Full Stack Python?

Python is known for its clean syntax, rapid development speed, and widespread use across Web Development, AI, and Data Science.

Freshers & Graduates

BE, BTech, BCA, MCA, BSC CS (2022-2026 passouts) aiming to enter IT product & service companies with high starting CTCs.

Data & AI Aspirants

Students wanting to build strong foundation in Python programming, Pandas, NumPy, and Machine Learning algorithms.

Non-IT Switchers

Graduates from Mechanical, Civil, Commerce, or Arts backgrounds looking for the easiest, most practical entry into software engineering.

Career Gap Candidates

Candidates with career gaps. Our intensive live project building and weekly mock interviews prepare you to crack MNC rounds.

Production Projects You Will Build

Create end-to-end full stack web applications and data-driven systems to highlight on your resume and GitHub.

Capstone Project 1

Full Stack E-Commerce Web Portal

Complete e-commerce platform built with Django MVC, PostgreSQL, Stripe/Razorpay payment gateway, and Celery background tasks.

Python 3.12 Django 5.x PostgreSQL Redis / Celery Bootstrap 5
Capstone Project 2

Django REST API & JWT Microservices

Scalable RESTful API backend with JWT token authentication, role-based access control, OpenAPI Swagger docs, and CORS config.

Django REST Framework JWT Auth Swagger Docker
Capstone Project 3

AI Predictive Data Analytics Dashboard

Interactive dashboard with data ingestion, EDA with Pandas/NumPy, visualization charts with Matplotlib/Seaborn, and ML model deployment.

Pandas NumPy Scikit-Learn Streamlit

Why Learn Python + Generative AI at CJC?

Experience practical training designed around what top IT companies hire for in 2025/2026: Full Stack Python web engineering combined with production Generative AI.

1. Complete 360° Python + GenAI Stack

From core logic, OOPs, Multithreading, PDBC to complete Django full stack, REST APIs, LangChain, and production-grade Generative AI applications.

2. LangChain, RAG & LLM Integration

Learn how to connect LLMs to your own custom data. Build RAG (Retrieval-Augmented Generation) pipelines, Vector Embeddings with ChromaDB, and custom autonomous agents.

3. AI-Assisted Developer Productivity

Master GitHub Copilot and Cursor AI to generate production-ready Python code, automated test suites, and schema design 3x faster like Silicon Valley engineers.

4. Daily Hands-On Lab Hours

Write code every day in our air-conditioned computer labs under the personal guidance of dedicated lab trainers and technical instructors.

5. 100% Dedicated Campus Drives

Continuous campus placement drives across top IT companies (Persistent, TCS, Tech M, Capgemini, Cognizant) until you secure your offer letter.

6. Weekly Mock Technical Interviews

Live coding tests, algorithm questions, and HR mock interviews every Saturday to build peak interview confidence and clear tough technical panels.

Detailed Python Course Syllabus

Extensive coverage of Python programming, database connectivity, full-stack web development, and data science.

1] Introduction to Python & Core Syntax
History & Features of Python
Installation, IDE Setup (PyCharm / VS Code)
Python Identifiers, Keywords & Indentation
Basic Operators & Variables
Command Line Arguments & User Input
Python Core Objects, Built-in Functions & Types
2] Program Flow Control & Loops
Conditional Blocks: if, else, elif statements
For Loops using Ranges, Strings, Lists & Dicts
While Loops & Nested Looping Structures
Loop Manipulation: break, continue, pass, else in loops
3] Logic Building & Algorithm Exercises
Condition-Based Problem Solving
Numeric & Mathematical Logical Problems
String Manipulation & Pattern Matching
Sorting Algorithms & Design Patterns in Python
4] Lists, Dictionaries, Tuples & Sets
Lists: Slicing, Methods, Iteration
Tuples & Immutability
Dictionaries: Key-Value Operations & Methods
Sets: Operations, Unions, Intersections
Iterators, Generators, Yield & Lambda Expressions
Includes Performance Assessment - 1
5] Object-Oriented Programming (OOPS) in Python
Classes, Objects, Instances & __init__ Constructors
Class Attributes vs Instance Attributes
Single, Multiple & Multilevel Inheritance
Polymorphism: Method Overriding & Duck Typing
Achieving Abstraction & Encapsulation
Includes Mini Project - 1 & Performance Assessment - 2
6] Exception Handling in Python
try, except, else, finally blocks
Exception Classes Hierarchy
Raising Exceptions & Custom User-Defined Exceptions
Avoiding Code Breaks & Graceful Error Handling
7] File Input and Output & Serialization
Reading & Writing Text Files
Reading Configuration & Log Files
Binary Files & Serialization with Pickle
File Pointer Manipulation (seek and tell)
8] Decorators, Iterators & Comprehensions
First-Class Functions & Inner Functions
Custom Function Decorators & Chained Decorators
List, Set & Dictionary Comprehensions
Custom Generators & Yielding Streams
9] Multithreading in Python
Single vs Multithreaded Execution
The Threading Module & Starting Threads
Thread Synchronization, Class & Object Locks
10] Structured Query Language (SQL) & MySQL
MySQL Data Types, DDL, DML, TCL Commands
Primary, Foreign Key & Unique Constraints
WHERE, Wildcard Operators, Pattern Matching
MySQL Functions (MIN, MAX, AVG, SUM, COUNT)
ORDER BY, GROUP BY, HAVING Clauses
Table Relationships & SQL Joins (Inner, Left, Right)
Includes Mini Project - 2: Relational Database Design
11] Python Database Connectivity (PDBC)
Connecting Python to MySQL Database
Executing DDL & DML Queries via Python
Performing Database Transactions & Error Handling
Full CRUD Operations Project using PDBC
Includes Mini Project - 3: Complete Database Application
12] SQLAlchemy - Object Relational Mapper
ORM Introduction & SQLAlchemy Advantages
Classical vs Declarative Way of Mapping
DML & DDL Operations with Database Models
Complex Queries & Filter Conditions in SQLAlchemy
Includes Mini Project - 4 & Performance Assessment - 4
13-15] Frontend Web Development (HTML5, CSS3, JavaScript)
HTML5 Semantic Structure, Forms, Inputs, Tables
CSS3 Box Model, Flexbox, Positioning & Colors
JavaScript DOM Manipulation & Events
JS Console Debugging, Arrays, Objects & JSON APIs
16] Django Framework & REST API (DRF)
Virtual Environments & Django Project Setup
Django MVT Architecture, URLs & Routing
Templates, Template Inheritance & Static Files
Django ORM, Models, Migrations & Relationships
Function-Based vs Class-Based Views
Django Forms, ModelForms & Crispy Forms
User Authentication (Login, Register, Logout, Custom User)
Django REST Framework (DRF) Serializers & Endpoints
Major Projects: Mini Project 6 (Auth Portal) & Major Capstone Project 7 (E-Commerce Web Portal)
17] Generative AI, LangChain & LLM Application Development NEW FOR 2025/26
LLM Architecture & Foundations (GPT-4o, Claude, Llama 3)
OpenAI & Ollama API Integration with Python
Prompt Engineering: Zero-Shot, Few-Shot & Chain-of-Thought
LangChain Fundamentals: Prompts, Models, Chains & Memory
Text Embeddings & Semantic Search Concepts
Vector Databases: ChromaDB & FAISS in Python
Retrieval-Augmented Generation (RAG) Architecture
Autonomous AI Agents & Tool Calling Workflows
AI Capstone Project 8: Enterprise RAG Document Assistant & Intelligent Customer AI Bot built with Python, LangChain, ChromaDB & Streamlit

Available Python Batches in Pune

Join our classroom batches at Karvenagar or Akurdi, or attend live interactive online sessions.

Skill Oriented

Full Stack Python Regular

Master Core Python, MySQL, HTML/CSS/JS, and Django web application development with live projects.

3.5 Months Online & Offline 22k
🔥 Full Day Program

Full Day Python + React / AI

Full-day hands-on coding lab, complete React.js frontend integration, Data Science, and dedicated placement drives.

6 Months Offline & Online 90k

Frequently Asked Questions (Python Full Stack & AI)

Clear answers regarding Python, Django web frameworks, GenAI modules, projects, and career paths.

01 Why choose Full Stack Python with Django & GenAI over generic programming courses?

Python is the world's most versatile language — dominating web development, data science, automation, and modern Artificial Intelligence.

CJC's program doesn't just teach Python basics. We train you on the complete modern tech stack: Python Core & OOPs, Django REST Framework, PostgreSQL, Frontend integration (React), and Generative AI (LangChain, OpenAI API, RAG pipelines). This makes you uniquely qualified for both full-stack software development and AI engineering roles.

02 What real-world projects will I build during the Python course?

You will build practical, production-ready enterprise applications:

  • Full Stack E-Commerce / CRM Web Platform: Multi-user role management, Django REST backend, JWT authentication, and SQL database optimization.
  • GenAI RAG Knowledge Base Assistant: Built using Python, LangChain, ChromaDB vector storage, and OpenAI LLM for automated question-answering over custom company PDFs.
  • Data Analytics & Business Intelligence Dashboard: Interactive visual charts using Pandas, NumPy, and Power BI embedded into a web portal.

All projects are uploaded to your public GitHub profile with complete documentation to prove your hands-on engineering capabilities to recruiters.

03 Can I apply for Data Science and Machine Learning roles after completing this course?

Yes, definitely! The course includes dedicated modules on Python for Data Science: NumPy arrays, Pandas DataFrames, data cleaning, exploratory data analysis (EDA), Matplotlib/Seaborn visualization, and foundational machine learning algorithms.

You will be well-prepared to apply for roles like Data Analyst, Junior Data Scientist, and Business Intelligence Developer, in addition to Full Stack Python Developer roles.

04 Is Python easier to learn than Java for non-programmers and career switchers?

Yes, Python is widely considered the most accessible programming language. Its clean, English-like syntax eliminates complex boilerplate code (like strict semicolons and complex type declarations), allowing beginners to focus on core logical thinking and problem-solving.

Students from Mechanical, Civil, Commerce, and non-technical streams often find Python faster to pick up and build working web prototypes within the first month.

05 How are Python coding labs and daily doubt-solving conducted at CJC?

Learning syntax is only 20% of the journey; coding practice is 80%. After daily theory lectures, you work in our high-speed computer labs (Karvenagar or Akurdi) with dedicated technical mentors standing by.

Whenever you encounter a runtime bug, Django migration error, or SQL query issue, our mentors sit with you 1-on-1 to debug your code in real-time. Full lab access is available from 9:00 AM to 7:00 PM.

06 What placement assistance is provided for Python graduates in Pune?

Our dedicated Placement Cell connects you with hiring drives at over 300+ MNCs and technology startups. We conduct weekly Python coding challenges, technical mock interviews, resume optimization with AI ATS scanners, and schedule client interview drives until you secure a job offer.

Launch Your Career in Full Stack Python & AI Today!

Master Python, Django, REST APIs and Data Science with 100% placement support in Pune. Batch starting soon.

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