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Course Curriculum
Python AI & Data Science Syllabus
Industry-aligned learning path · 12+ Modules · Click to explore
📘 Foundation
01Core
Core Python
Basics to advanced Python- Programming Basics & Logic
- Functions & Lambda Functions
- Data Structures (List, Dict, Set, Tuple)
- OOP — Classes, Inheritance, Polymorphism
- Comprehension, Generators & Decorators
- Modules, Packages & Exception Handling
- File Handling & Multithreading
- Regular Expressions
- GUI Programming using Tkinter
- Database Connectivity
02Database
MySQL Database
Structured data & stored logic- Normalization & SQL Basics
- DDL, DML & SQL Components
- Select, GroupBy, Having & Joins
- Subqueries & String/Date Functions
- Views & Index
- PL/SQL — Stored Procedures, Functions
- Cursors, Triggers & Transactions
- Case Study
03Frontend
Web Programming
HTML, CSS, JS & Bootstrap- HTML5 & CSS3
- JavaScript & jQuery
- Bootstrap Responsive Design
04R Language
R Programming
Stats & data analysis in R- R Syntax, Variables & Data Types
- Operators, If-Else, Loops & Functions
- Vectors, Lists, Matrices, Arrays
- Data Frames & Factors
- R Graphics — Plot, Scatter, Pie, Bar
- Statistics — Mean, Median, Mode, Percentiles
📊 Data Analysis
08Tools
Git & GitHub
Version control & collaboration- Installation & Git Lifecycle
- Create, Clone & Commit
- Push, Stash & Branching
- Pull Requests & Repo Management
07Concepts
Operating Systems
OS internals & cloud basics- Types & Components of OS
- File Systems & Process Management
- Memory & User Management
- OS Security & Device Drivers
- Install OS via VirtualBox
- OS in Cloud
06Data Analysis
Data Analysis
NumPy, Pandas & Visualization- NumPy — Arrays & Operations
- Pandas — DataFrames & Data Wrangling
- Matplotlib & Seaborn — Plotting
- Geographical Plotting
05Backend
Flask Framework
Python web apps & REST APIs- Building Flask Applications
- Request & Response Objects
- Jinja2 Template Engine & URL Routing
- Views, Templates & State Management
- Database Connectivity & Ajax
- Microservices with Flask
- Project using Flask & MySQL
🤖 AI & Machine Learning
09Backend
Django Framework
Full-stack Python web framework- Django Architecture & Views
- Templates, Routing & DTL
- Models, Admin Module & Forms
- Request/Response & Security
- State Management
- REST API Integration using Django
- Project using Django & REST API
10Data Science
Data Science
Stats, NoSQL & Visualization- Basics of Statistics
- NoSQL Introduction
- Visualization — Matplotlib, Seaborn, Plotly
- Introduction to Big Data & Spark
- PowerBI Dashboard
11ML
Machine Learning
Supervised, unsupervised & more- ML Introduction & Techniques
- Supervised, Semi-supervised & Unsupervised
- Regression — Linear & Multiple
- Classification — KNN, Decision Trees, Random Forest
- SVM & Logistic Regression
- Clustering — K-Means, K-Medoid, Hierarchical
12Deep AI
AI & Deep Learning
ANN, CNN, NLP & GenAI- Deep Learning Basics — ANN, RNN, CNN
- OpenCV — Computer Vision
- TensorFlow — Advanced ML Tools
- NLP — Sentiment Analysis
- Introduction to Prompt Engineering
- Introduction to Generative AI
- Data Capstone Project
🚀 Deployment & Placement
★Placement
Soft Skills & Placement
Mock interviews & campus drives- Communication & Public Speaking
- Resume Building & Cover Letter
- Group Discussion & Email Writing
- Aptitude — Ratios, Probability, Reasoning
- Interview Preparation & Grooming
- Mock Interviews & Campus Placement Drives
15Concepts
Software Engineering
SDLC, Agile & UML- Introduction to Software Engineering
- Software Development Life Cycle
- SDLC Models & Agile — SCRUM
- Project Management & Design
- Introduction to UML
- Testing & DevOps
14DevOps
DevOps & Cloud
CI/CD, Docker & Kubernetes- DevOps Principles & CI/CD Pipeline
- Git Automation & Maven
- Jenkins — Process Automation
- Docker — Portable Platform
- Kubernetes — Containerization
13Aptitude
Aptitude Training
Maths, reasoning & logic- Averages, Ages & Percentages
- Ratio, Profit & Loss, Partnership
- Speed, Time, Work & Trains
- Permutations, Combinations & Probability
- Simple & Compound Interest
- Analytical & Logical Reasoning
- Blood Relations, Coding-Decoding
TOOLS & TECHNOLOGIES
Industry Tools You Will Master
Hands-on training with the exact tools used by top IT companies in Python Full Stack, Data Science & AI production environments.
Python 3.x
NumPy
Pandas
Jupyter Notebook
Anaconda
VS Code
PyCharm
HTML5
CSS3
JavaScript
Bootstrap
React.js
Django
Flask
MySQL
PostgreSQL
MongoDB
SQLite
Redis
TensorFlow
PyTorch
Scikit-learn
Matplotlib
OpenCV Seaborn PlotlyOur Placed Students
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System.out.println("Ready!");
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