The rapid advancement of technology has led to an increased demand for intelligent systems that can analyze data, learn from patterns, and make informed decisions. Artificial Intelligence (AI) plays a pivotal role in modern applications ranging from healthcare and finance to autonomous systems, smart assistants, and advanced data analytics.

This internship program is designed to provide students with a strong foundation in Artificial Intelligence through a blend of theoretical knowledge and hands-on experience. Participants will gain practical exposure to data preprocessing, machine learning algorithms, neural networks, NLP ,Computer Vision  and AI tools, enabling them to design and develop real-world intelligent applications.

Course Objective

• To provide  knowledge of Artificial Intelligence and its core concepts, including machine learning and data-driven approaches.
• To develop proficiency in data preprocessing, analysis, and visualization techniques using appropriate tools.
• To introduce students to machine learning algorithms for classification, regression, and clustering tasks.
• To explore neural networks and basic deep learning techniques for intelligent system development.
• To guide students in building end-to-end AI-based applications through a mini project.

Course Outcome

• Upon completion of this internship course, students will be able to:
• Understand the fundamental concepts and working principles of Artificial Intelligence  machine learning techniques, NLP and Computer Vision techniques.
• Apply data preprocessing, analysis, and visualization methods on real-world datasets.
• Implement and evaluate machine learning models for classification, regression, and clustering tasks.
• Design simple AI solutions using neural networks and basic deep learning techniques.
• Develop a functional mini project demonstrating knowledge of Artificial Intelligence and its applications.

Course Contents

Sl.No	Topics
1	Week 1: Introduction to Python Programming Language
2	Week 2: Object-Oriented Programming (OOP) & Exception Handling
3	Week 3: Introduction to AI Concepts , Programming with Python for AI, Exploratory Data Analysis , Matplotlib , Pandas , Numpy , Seaborn , TensorFlow , PyTorch , Keras , OpenCV
4	Week 4: Machine Learning
5	Supervised & Unsupervised Learning
6	Model Evaluation & Feature Engineering
7	Week 5: Introduction to Deep Learning
8	Neural Networks Basics
9	ANN , CNN , RNN , LSTM Models
10	Week 6: Natural Language Processing , Computer Vision
11	Version Control Management using Git and GitHub
12	Project Work

 

 

 

 

 

 

 

 

 

 

 

 

Course Fees

I.Course Fees: Rs. 5,000/- (Inclusive of GST)

Module	Course Code	Module Name	Duration (Weeks)	Fees(For all Candidates)
Internship on Artificial Intelligence (3 Weeks – Online and 3 weeks - Offline at NIELIT Tirupati)	INAI-2604	INAI-2604	6 Weeks	RS.5,000/- (Inclusive of GST)

 

 

 

 

II.Refund of Fee:

However above the registration fee shall be refunded on few special cases as given below

• Course postponed and new date is not convenient for the student
• Course cancelled in advance, well before the admission date