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….
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Key Highlights of Our Python Full Stack With Data Science & AI Program
Every Feature Empowers The Career You’ve Always Wanted
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.
Python Data Science & AI Syllabus
A comprehensive hybrid roadmap covering 585+ hours of learning
01. Core Python Foundations
- Programming Basics & Data Structures
- Functions & Lambda Functions
- Object-Oriented Programming (OOP)
- Comprehensions, Generators & Decorators
- Exception & File Handling
- GUI programming using Tkinter
02. MySQL Management
- Database Normalization & Commands
- DDL, DML & Select Statements
- Joins, Subqueries, & Views
- PLSQL: Stored Procedures, Functions, & Triggers
- Transaction Management & Case Study
03. Web Programming (UI/UX)
- HTML5 Semantic elements
- CSS3 Styling & Layouts
- JavaScript & jQuery Interactivity
- Responsive Design with Bootstrap
04. Data Analysis Stack
- NumPy for Numerical Computing
- Pandas for Data Manipulation
- Matplotlib & Seaborn for Plotting
- Geographical Data Visualization
05. Data Science with AI
- Basics of Statistics & NoSQL
- Machine Learning: Supervised & Unsupervised
- Regression & Classification Algorithms
- Clustering (K-means, Hierarchical)
- Introduction to PowerBI & Spark
06. Deep Learning & Generative AI
- Deep Learning: ANN, RNN, CNN
- OpenCV for Computer Vision
- TensorFlow & Advanced ML Tools
- Natural Language Processing (NLP)
- Introduction to Generative AI & Prompt Engineering
07. Web Frameworks (Flask & Django)
- Flask Architecture & Jinja2 Templates
- Django MVT, Models, & Admin Module
- REST API Integration
- Full Stack Capstone Project
08. DevOps & Professional Grooming
- Git/GitHub Lifecycle & Automation
- DevOps: CI/CD, Docker, & Kubernetes
- Aptitude & Analytical Reasoning
- Resume Building & Mock Interviews
- Operating Systems & Software Engineering
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class FirstBitSuccess {
void startCareer() {
boolean placed = true;
System.out.println("Ready!");
}
}