INTRODUCTION
Artificial Intelligence (AI) is an exciting and rapidly advancing field that aims to develop machines and systems capable of intelligent behavior. At its core, AI seeks to simulate human cognitive functions such as learning, reasoning, problem-solving, and decision-making using algorithms and data. Students exploring AI can expect to delve into areas like machine learning, where computers learn from vast amounts of data to make predictions or decisions. Natural Language Processing (NLP) enables computers to understand and interact with human language, powering applications like virtual assistants and language translation. Computer vision allows machines to interpret and analyze visual information, driving advancements in autonomous vehicles and medical imaging. AI internships offer hands-on experience in these cutting-edge technologies, providing opportunities to work on real-world projects, collaborate with experts, and contribute to the future of technology. As AI continues to transform industries and society, gaining practical skills and knowledge through internships can pave the way for a rewarding career in this dynamic field.
ADVANTAGE TO STUDENTS AFTER INTERNSHIP
Student can get a real world experience and also a hands on training in a professional environment. Internships help to getting a chance to try all the possible jobs with explore different options in career.
- A chance to develop your knowledge and skills in a particular field or industry
- Exploring different roles to see which one you would like to pursue
- Getting insight into the way businesses work and what challenges they face on a daily basis
- Gaining valuable work experience to set you apart from other candidates
- Applying the concepts and strategies of academic study in a live work environment
SCOPE AND JOB PROFILE
Internship Training provides a real time exposure for the students on the latest and trending technologies in the software companies. Below are some of the Top jobs in IT Industry with very good.
- Data scientist
- Senior software engineer
- Machine learning engineer
- Data engineer
- Software engineer
- Software developer
- Software architect
- Senior data scientist
SYLLABUS
Module 1:
What is Artificial Intelligence?
Types Of Artificial Intelligence, Machine Learning Basics, Types Of Machine Learning Types Of Problems Solved By Using Machine Learning. Machine Learning Process. Machine Learning With Python, Limitations Of Machine Learning, Artificial intelligence principles. Why is Python Best For Al?, Demand For Al
Module 2:
What is Deep Learning?
Why Deep Learning?, How Deep Learning Works?, Deep Learning Basics and uses, Deep Learning Use Case. Perceptrons. Multilayer Perceptrons. Deep Learning With Python
Module 3:
What is Neural Network?
History behind neural networks. Relationship between biological neuron and artificial neuron, Perceptron and working mechanism, Architecture of artificial neural network, Types of activation functions. Forward propagation. Loss function
Module 4:
Al and Machine Learning Algorithms
Popular Machine Learning Algorithms, Clustering. Classification and Regression. Supervised vs Unsupervised Learning
