IT-NetworkZ

Generative AI

About Internship

Work with state-of-the-art generative AI models like GPT, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders) to create and fine-tune content.

Explore how generative AI can be applied to create text, images, music, and even video, enhancing creativity in various industries.

Learn how to train AI models, optimize their performance, and fine-tune hyperparameters for better output quality.

Participate in cross-disciplinary projects, collaborating with data scientists, engineers, and domain experts to solve real-world problems.

Gain experience with tools and frameworks used in generative AI like TensorFlow, PyTorch, and OpenAI API.

Build a strong foundation in generative AI, positioning yourself for a career in machine learning, artificial intelligence, and data science.

Prerequisites

Familiarity with Python, as it is the primary language for working with AI and machine learning models, especially in frameworks like TensorFlow and PyTorch.

Knowledge of machine learning concepts, algorithms, and models, including supervised/unsupervised learning and neural networks.

A solid understanding of linear algebra, probability, and statistics, which are essential for understanding and working with AI models.

Benefits

Work with cutting-edge generative AI technologies like GPT, GANs, and VAEs, gaining practical exposure to state-of-the-art AI models.

Enhance your skills in machine learning, deep learning, and AI model optimization, preparing you for advanced roles in AI and data science.

Learn how generative AI can be applied in creative fields like content creation, design, art, and music, expanding your career opportunities.

Gain proficiency in popular AI<

Who Can Apply

Those studying fields like computer science, artificial intelligence, data science, or related disciplines with an interest in generative AI.

Individuals looking to specialize in generative models, deep learning, and machine learning applications.

Candidates with basic knowledge of Python programming and foundational math (linear algebra, probability, statistics), eager to dive deeper into AI and machine learning.

Skills

Python

Machine Learning & Deep Learning

Neural Networks (e.g., CNNs, RNNs)

Generative Models (GANs, VAEs, GPT)

Mathematics (Linear Algebra, Probability, Statistics)

AI Frameworks (TensorFlow, PyTorch)

Perks

Certificate

Letter of recommendation

Flexible work hours

Location: Nagpur
Duration: 45 Days
Start Date: 13-05-2025
Mode: Hybrid
Fee: 3800
No of Openings: 50
Posted: 41 days ago
Apply By: 28 Jun 2025

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