
Summer Internship 2025 - Full Stack and Machine Learning
LinuxWorld

Key Highlights
- No Prior Knowledge Required
- Hands-on Projects + LIVE Implementation
- Internship Certificate Recognized by Industry
- Learn | Build | Deploy | Showcase Projects
- 100% Placement Assistance
- Duration: 30 | 45 | 60 Days
- Online and Offline Learning Modes Available
Description
Summer Internship 2025 - Full Stack + Machine Learning
Unlock your future in tech with a powerful blend of Web Development and Machine Learning. This industry-relevant program equips you with the tools to become a full-stack developer with the added power of machine learning, enabling you to build intelligent applications from end to end.
Program Overview:
This is a dual-domain program combining frontend and backend web development skills with strong data science and machine learning foundations. Perfect for those aiming to become AI-driven Full Stack Developers, ML Engineers, or Data-Centric Developers.
Course Topics:
Machine Learning & Data Science:
- Data Science with Python
- Applied Statistics
- Supervised Learning (Multiple Variable Linear Regression)
- Unsupervised Learning (K-Means Clustering)
- Ensemble Techniques (Decision Trees)
- Feature Engineering, Featurization
- Model Selection & Tuning
- Introduction to Recommendation Systems
Web Development (Full Stack):
- Web Development Concepts
- HTML, CSS, JavaScript
- React.js, Bootstrap
- Backend with Python and Flask
- MySQL (Database Integration)
- Git and GitHub (Version Control & Deployment)
Program Highlights:
- No Prior Knowledge Required
- Hands-on Projects + LIVE Implementation
- Internship Certificate Recognized by Industry
- Learn | Build | Deploy | Showcase Projects
- 100% Placement Assistance
- Duration: 30 | 45 | 60 Days
- Online and Offline Learning Modes Available
Program Fee: Rs. 8,500 + Taxes
This course is ideal for beginners who want to master software development and gain machine learning expertise in one go—perfect for internships, job placements, or launching your own AI-based projects.
Eligibility