About the Role
1.BE/B.Tech , BCA , MCA , BBA , MBA Regular Students from Any Recognized University
2.Minimum Class 10 & 12 - 50% Marks
3.Core Concept of Respective Subject
4.Bring Your Previous Project to Show Case Your Technical Expertise.
Need to Work on Real Life Project ; Official Letter of Appointment & Recommendation will be Issued to Each Applicant.
Requirements
Module 1: Introduction to AI
Overview of AI and its applications
History and evolution of AI
Types of AI: Narrow AI vs. General AI
Ethical considerations in AI development
Module 2: Machine Learning Fundamentals
Introduction to machine learning
Supervised, unsupervised, and reinforcement learning
Feature selection and engineering
Model evaluation and validation techniques
Overfitting, underfitting, and regularization
Module 3: Supervised Learning Algorithms
Linear regression
Logistic regression
Decision trees and random forests
Support vector machines
Neural networks and deep learning
Module 4: Unsupervised Learning Algorithms
Clustering algorithms (K-means, hierarchical clustering)
Dimensionality reduction techniques (PCA, t-SNE)
Anomaly detection methods
Association rule learning (Apriori algorithm)
Generative models (e.g., Gaussian Mixture Models)
Module 5: Natural Language Processing (NLP)
Introduction to NLP
Text preprocessing techniques
Bag-of-words and TF-IDF representations
Sentiment analysis
Named Entity Recognition (NER) and Part-of-Speech (POS) tagging
Module 6: Deep Learning
Introduction to neural networks
Feedforward neural networks
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Transfer learning and pre-trained models
Module 7: Reinforcement Learning
Introduction to reinforcement learning
Markov Decision Processes (MDPs)
Q-learning and value iteration algorithms
Deep Q-Networks (DQNs)
Policy gradients and actor-critic methods
Module 8: AI Ethics and Responsible AI
Bias and fairness in AI algorithms
Privacy and data protection considerations
Transparency and interpretability in AI models
Human-AI collaboration and augmentation
AI governance and regulations
Module 9: AI Applications
Computer vision and image recognition
Natural language processing and chatbots
Recommender systems
Autonomous vehicles and robotics
AI in healthcare and finance
Module 10: Future of AI
Cutting-edge AI research and trends
AI in industry and business transformation
AI and societal impact
Exploring emerging AI technologies (e.g., GANs, Transformers)
Career opportunities and further learning paths in AI
About the Company
The Indian Institute of Internship (III) is the premier Indian platform for students to gain real-world experience in their chosen field. We offer an extensive range of internship opportunities for engineering, BCA, and MCA students across India. Official Registered Under Government of West Bengal with Registration Number:190200658 In the Year of 2022 By the Registrar of Assurance II Government of West Bengal. Run & Managed By: National Institute for Industrial Training.
At III, we are committed to helping students bridge the gap between education and the workplace. Our internship programs are designed to equip students with the skills and experience they need to make a successful transition into the professional world.