IT-NetworkZ

AI using Python

About Internship

Work on developing and implementing AI models using Python libraries like TensorFlow, Keras, Secborn and Scikit-learn.

Gain experience in cleaning and preparing data for AI applications, ensuring data quality for accurate model training.

Learn to build and train machine learning models such as regression, classification, and clustering.

Apply AI techniques to real-world problems, such as predictive analytics, automation, and decision-making.

Collaborate with AI researchers and developers, improving your communication and teamwork skills in a tech environment.

Enhance your Python programming and AI expertise, boosting your prospects in data science, AI development, and machine learning roles.

Prerequisites

Strong knowledge of Python, including working with libraries such as NumPy, Pandas, Secborn and Matplotlib for data analysis and visualization.

Understanding of linear algebra, probability, and statistics, which are essential for building and evaluating AI models.

Basic knowledge of machine learning concepts, including supervised and unsupervised learning, regression, classification, and model evaluation techniques.

Benefits

Gain hands-on experience in building and deploying AI models using Python and popular libraries like TensorFlow, Secborn, Keras, and Scikit-learn.

Develop strong programming and data science skills, including Python coding, machine learning algorithms, and data preprocessing.

Strengthen your resume with valuable AI experience, boosting your prospects for roles in data science, machine learning, and AI development.

Who Can Apply

Those studying computer science, data science, engineering, or related fields with an interest in AI and machine learning.

Individuals who want to learn and work on real-world AI applications and improve their Python and machine learning skills.

Candidates who have basic knowledge of Python programming and are eager to learn about AI and machine learning concepts.

Skills

Python Programming

Mathematics & Statistics

Machine Learning Algorithms

Data Preprocessing

Libraries (TensorFlow, Keras, Scikit-learn)

Problem-Solving & Analytical Thinking

Perks

Certificate

Letter of recommendation

Flexible work hours

Location: Nagpur
Duration: 45 Days
Start Date: 16-05-2025
Mode: Hybrid
Fee: 3800
No of Openings: 30
Posted: 41 days ago
Apply By: 30 Jun 2025

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