IT-NetworkZ

AI & ML

About Internship

Work with popular AI/ML tools and libraries like TensorFlow, PyTorch, and Scikit-learn to build and deploy models.

Learn how to clean and preprocess data for use in machine learning algorithms, ensuring accurate model training.

Gain experience in training machine learning models, tuning hyperparameters, and evaluating model performance using metrics.

Apply AI and ML concepts to real-world problems, such as image recognition, natural language processing, and predictive analytics.

Work alongside experienced data scientists and engineers, improving problem-solving and teamwork skills.

Enhance your understanding of AI/ML concepts, boosting your qualifications for a career in data science or AI development.

Prerequisites

Basic knowledge of linear algebra, calculus, probability, and statistics, as these are fundamental to understanding AI and ML algorithms.

Strong programming skills, particularly in Python, as it is widely used in AI/ML for implementing algorithms and using libraries like TensorFlow and Scikit-learn.

Understanding of key ML concepts such as supervised and unsupervised learning, regression, classification, and overfitting.

Benefits

Gain hands-on experience working with real-world AI/ML projects and tools.

Learn advanced AI/ML techniques and improve your programming and data analysis skills.

Strengthen your resume and increase job opportunities in the growing AI and data science fields.

Who Can Apply

Those studying computer science, data science, engineering, or related disciplines with an interest in AI/ML.

Individuals with a passion for data analysis and machine learning who want to gain practical experience.

Candidates who have a foundational understanding of programming (especially Python) and mathematics, eager to learn about AI/ML concepts.

Skills

Python

Mathematics & Statistics

Machine Learning Algorithms

Data Preprocessing

Libraries & Frameworks (TensorFlow, Scikit-learn, PyTorch)

Problem-Solving & Analytical Thinking

Perks

Certificate

Letter of recommendation

Flexible work hours

Location: Nagpur
Duration: 45 Days
Start Date: 12-05-2025
Mode: Hybrid
Fee: 3800
No of Openings: 20
Posted: 41 days ago
Apply By: 30 Jun 2025

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