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Artificial Intelligence Internship

 

Kaashiv Infotech provides comprehensive internships tailored for students, specifically focusing on Artificial Intelligence Internship. These programs deliver hands-on experience in various domains such as software development, machine learning, and data analytics. With a strong focus on practical learning, Kaashiv Infotech exposes students to real-world projects and cutting-edge technologies, fostering skill development and industry relevance. Through personalized mentorship and access to state-of-the-art resources, Kaashiv Infotech ensures that the AI Internship offers valuable experience and preparation for future careers in the dynamic field of information technology.


What are the primary objectives of an Artificial Intelligence Internship?

  • The primary objectives of the AI Internship at Kaashiv Infotech revolve around practical skill enhancement and professional development. Interns gain hands-on experience, enabling them to apply theoretical knowledge to real-world AI projects and scenarios.
  • This exposure helps interns align their abilities with industry requirements and stay updated with the latest developments in artificial intelligence. Moreover, the AI Internship serves as a platform to expand professional networks and connect with industry mentors and peers.
  • These relationships offer valuable guidance, potential job opportunities, and collaborative project experience, supporting interns in their future careers.

Overall, the core aim of the Artificial Intelligence Internship is to equip students with the skills, experience, and professional network required to thrive in the tech industry.


What are the benefits of doing an Artificial Intelligence Internship?

Interning at Kaashiv Infotech allows AI Internship students to engage in real-world projects using current AI technologies.

  • They work on live AI projects, developing hands-on experience and technical skills that prepare them for careers in artificial intelligence and data science.

  • Mentorship is provided by experienced AI professionals, offering personalized feedback and support.

  • Networking opportunities connect interns with professionals, fellow learners, and experts.

  • The internship adds value to a student’s resume, showing real-world experience and strong technical skills.

  • Interns gain insights into corporate culture, team collaboration, and essential communication protocols.

  • Outstanding performers may be offered full-time roles, making it a potential gateway to a successful AI career.


What steps should students take to prepare for an AI Internship?

  • Align their goals with the company’s tech stack and innovation-driven mission.

  • Strengthen foundational knowledge in Python, deep learning, and AI concepts.

  • Familiarize themselves with TensorFlow, Keras, and CNN-based applications.

  • Actively explore internship roles and engage with AI learning communities for better exposure.


Best Internship Opportunities at Kaashiv Infotech

  • Kaashiv Infotech offers a highly acclaimed internship program focusing on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
  • Interns contribute to meaningful, innovation-driven projects and receive expert mentorship. With a hands-on approach and collaborative environment, Kaashiv Infotech is recognized as one of the best providers of AI internships in India.

5-Days Artificial Intelligence Internship Syllabus

Day 1: AI Fundamentals & TensorFlow Basics

  • Introduction to AI, applications, and history

  • Jupyter installation and TensorFlow basics

  • The Neuron

Day 2: Deep Learning & Keras Introduction

  • Deep learning and neural network structure

  • Keras overview and model creation

  • Basic layers

Day 3: Convolutional Neural Networks (CNNs)

  • CNN layers and image processing

  • MNIST classification using CNN

  • Activation functions

Day 4: CNN Applications & Model Training

  • CIFAR-10 image classification

  • Loss functions, optimizers

  • Evaluation metrics

Day 5: Advanced CNNs & Project Overview

  • Facial Age Recognition

  • Data augmentation and regularization

  • Project idea discussion


10-Day Artificial Intelligence Internship Syllabus

Day 1: Introduction to AI & TensorFlow Setup

  • AI history, applications, and ethical considerations.
  • Jupyter installation and TensorFlow environment setup.
  • TensorFlow Basic Operations.

Day 2: Deep Learning Fundamentals & Neural Networks

  • Introduction to Deep Learning and neural network concepts.
  • The Neuron and structure of neural networks.
  • Introduction to Keras.

Day 3: Building Sequential Models with Keras

  • Creating sequential models with Keras.
  • Basic layers (dense, activation).
  • ANN for Regression.

Day 4: Convolutional Neural Networks (CNNs) for Image Processing

  • Convolutional layers and pooling layers.
  • Understanding CNN architectures.
  • ANN for Classification.

Day 5: Training CNNs for Image Classification (MNIST)

  • MNIST dataset and image preprocessing.
  • Training a CNN model for MNIST classification.
  • Training architecture.

Day 6: Advanced CNNs and CIFAR-10 Classification

  • CIFAR-10 dataset and handling color images.
  • Building and training a CNN for CIFAR-10.
  • Recurrent Layers.

Day 7: Facial Age Recognition with CNNs

  • Applying CNNs to facial age recognition.
  • Data augmentation and transfer learning.
  • Regularization & Techniques.

Day 8: Optimizers and Loss Functions

  • Understanding different optimizers (Adam, SGD).
  • Choosing appropriate loss functions.
  • Normalization & Techniques.

Day 9: Model Evaluation and Fine-Tuning

  • Evaluating model performance (accuracy, precision, recall).
  • Hyperparameter tuning and model optimization.
  • Forward & Backward Propagation.

Day 10: AI Project Work & Introduction to Advanced Topics

  • Project work: applying learned concepts to a real-world problem.
  • Introduction to Recurrent Neural Networks (RNNs) and NLP.
  • Review and Conclusion.

How to Register for the AI Internship?

  • New batches start daily — choose any convenient date.

  • WhatsApp / Call: +91 7667663035

  • Free Online Registration: [Click here to register]


Certificates Provided

  • Artificial Intelligence Internship Certificate

  • Inplant Training Certificate

  • Industrial Exposure Certificate


Duration

  • Flexible Duration: 6 days to 6 months

  • Daily Training: 3 hours/day

  • Working Days: All 7 days (including weekends and holidays)


Trainers

Trainers are internationally qualified professionals from top MNCs:

  • HCL Technologies

  • TCS

  • Oracle

  • Zoho

  • Wipro

  • Cisco

  • Cognizant


📍 Address:

Kaashiv Infotech
3A, 1st Cross Street, PH Road,
Near Shenbaga Bhavan Hotel & Opp. FB Cakes,
Maduravoyal, Chennai – 600095


📞 Contact:

+91 7667663035
+91 7667662428
+91 9840678906
+91 9962066262

📧 Email: kaashiv.info@gmail.com