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Summer Internship 2025 - Full Stack and Machine Learning

LinuxWorld
Paid
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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