ENROLLING NOW — PUNE

Master Python Full Stack
With Data Science & AI

Go from basics to advanced with 80% practical training. Master 21+ modules including Core Python, Data Science with AI, and Django. Learn IT, Bit by Bit….

⏱ 6+ Months
🏠 Online & Offline
💼 100% Placement
📜 Industry Certificate
💰Money-Back Guarantee
5000+ STUDENTS TRAINED
450+ HIRING PARTNERS
10+ YRS EXPERIENCE
00+ BATCHES DONE

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WHY CHOOSE FIRSTBIT

Key Highlights of Our Python Full Stack with Data Science & AI Program

Our unique ET (Education + Training) Methodology is designed to make you job-ready, not just certificate-ready.

Unlimited Interview Calls

Continuous job opportunities from our 420+ partner companies.

Money-Back Guarantee

Confidence in our quality. Designed to deliver real career results.

80% Practical Training

Learn IT bit by bit through hands-on coding and mini-projects.

Live Internship

Gain the experience recruiters actually look for on real projects.

Resume & Mock Interviews

Specialized profile-building and confidence-boosting sessions.

1:1 Doubt Solving

Personalized attention from experts to clear concepts instantly.

5000+ Certified Students

Join a thriving community placed across top IT MNCs.

Lecture Recordings

Get access to recordings of all live sessions for easy revision.

Our Alumni Work At

Calsoft
Capgemini
Cognizant
FIS
TCS
Tech Mahindra
Wipro
Amazon
Calsoft
Capgemini
Cognizant
FIS
TCS
Tech Mahindra
Wipro
Amazon
Python AI & Data Science Syllabus
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
Plotly

450+ COMPANIES RECRUITING OUR STUDENTS

TCSInfosysWiproCognizantAccentureHCL TechTech MahindraCapgemini+ 450 More

Our Placed Students

Put Your Career In Top Gear; But Start with the First at FirstBit Solutions

Our Alumni Work At

Calsoft
Capgemini
Cognizant
FIS
TCS
Tech Mahindra
Wipro
Amazon
Calsoft
Capgemini
Cognizant
FIS
TCS
Tech Mahindra
Wipro
Amazon
HAVE QUESTIONS?

Frequently Asked Questions

Everything you need to know before joining FirstBit Solutions.

The course runs for a minimum of 6 months. FirstBit is known for its affordable pricing — one of the core values of our founder. Please call 9561191190 or WhatsApp us for the current fee structure and available EMI options. We believe quality IT education should be accessible to everyone.

Absolutely not! Our ET Methodology is designed to start from zero. We have successfully trained students from mechanical, civil, and arts backgrounds. You only need dedication and a willingness to learn. Many of our placed students had zero coding experience when they joined.

We offer both! Offline classroom training at our Pune center with personal attention, and live online sessions for students outside Pune or who prefer flexibility. Both modes have the same curriculum, faculty, projects, and placement support.

It means our placement team works with you until you get a job. This includes resume building, LinkedIn profile optimization, mock technical interviews, HR round preparation, aptitude training, and direct campus drives with 420+ companies. We don’t stop supporting you once the course ends.

You receive the FirstBit Solutions course completion certificate, recognized by 420+ hiring partner companies. More importantly, you’ll have a strong GitHub portfolio with 5+ real projects which carries far more weight in interviews than any certificate alone.

ET stands for Education + Training. Unlike institutes that only do lectures, we immediately apply every concept through hands-on coding, real-world exercises, and industry projects. It’s a systematic path — basics first, then advanced modules — so no student is left confused or behind.

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