Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Advanced Diploma in Artificial Intelligence certification by NIELIT, Calicut is structured to provide key concepts with regard to machine learning, reasoning, deep learning, perception, reinforcement learning, and others. The program will be providing aspirants with detailed knowledge in the genre of AI. It will also be covering all the methods and fundamental techniques associated with AI in the industry.
The Advanced Diploma in Artificial Intelligence certification course covers a wide variety of topics that usually falls under the umbrella of computer science in a comprehensive and lucid way. The candidates will be given both practical and theoretical classes for better understanding.
The Advanced Diploma in Artificial Intelligence certification by NIELIT, Calicut course is fundamental to providing aspirants an extended and compact Knowledge in Artificial intelligence engineering. The students will be provided with real projects so that their skills increase and information gets enhanced. The aspiring learners will also be provided with placement guidance during the tenure of the course.
The Highlights
- 12-week course
- Certification by NIELIT
- Assistance in placement
- Government recognised certificate
Programme Offerings
- Practicals
- counselling
- Interview
- Mock test
- Lab facility
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
Advanced Diploma in Artificial Intelligence certification fees is as follows:
For General Candidates -
| Head | Amount |
| Course Fees | Rs. 35,000 |
For SC/ST Candidates -
They have to pay Rs. 4,200 as Advance caution/security deposit.
Eligibility Criteria
Education
To apply for the course, aspirants need to have a BSc or BE, or BTech degree from the branch of- IT or electronic or computer science. They also need to have a degree in MCA or BCA or DOEACC or PGDCA B, A level, or any degree equivalent to this. Students are required to have a good command of programming.
Certification Qualification Details
Not much information is provided in this regard now. Please keep checking the official page of NIELIT for more updates.
What you will learn
Once he/she finishes the Advanced Diploma in Artificial Intelligence Certification course by NIELIT they will be learning the following-
After completing the Advanced Diploma in Artificial Intelligence certification syllabus, the candidates will be able to:
- Solve problems that involve probability.
- Write R, SQL programs.
- Learn the basics of managing databases.
- Candidates will design and write python.
- He/she will learn to apply the appropriate algorithm to solve programs.
- Aspirants will be solving AI problems.
- Students will implement solutions pertaining to NLP.
- They will develop their skills in deep learning, machine Learning
- Candidates will learn to design solutions.
- Students will also be learning about the decision tree.
Who it is for
The Advanced Diploma in Artificial Intelligence course by NIELIT is beneficial to every aspirant who wants to explore and learn about-
- Students who want to learn more about deep learning.
- Candidates wanting to develop skills in Artificial Intelligence, Neural networks.
- Aspirants who want a career in machine learning.
- Students belonging to IT, Computer science, Electronics, AI, Deep learning, Machine learning, Data Analysis , Data visualization.
Admission Details
Step 1: To start with the process of registration please click on the URL and follow the given steps-
https://www.nielit.gov.in/calicut/course-calendar?coursecode=SW800
Step 2: Then click on the ‘Application Form’ which can be seen on the right side of the web page.
Step 3: Fill out the application form completely, submit it offline, and then wait for the admission to be finalised.
Application Details
The application form will include details like name, email address, gender, category, qualification, educational passing year, and marks. This information has to be filled in by the candidates properly to get admission.
The Syllabus
Introduction to AI and its applications.
Python
- Basics Data Types
- Conditional Statements
- Looping, Control Statements
- String
- List And Dictionary Manipulations
- Python Functions
- Modules And Packages
- Object Oriented Programming in Python
- Regular Expressions
- Exception Handling.
Introduction to Database Management System & SQL, Database Interaction in Python.
Data Analysis & visualization
- Numpy
- Matplotlib
- Scipy
R Programming
- Basics - Vectors
- Factors
- Lists
- Matrices
- Arrays
- Data Frames
- Reading data
Data visualization
- Barplot
- Pie
- Scatterplot
- Histogram
- Scatter matrix
Statistical Analysis
- Summary Statistics
- Probability distributions in R- Normal distribution
- Poisson distribution
- Binomial distribution
- Correlation and Regression
- Supervised and Unsupervised Learning
- Classification and Regression
- Linear Regression
- KNN
- K Means
- Logistic Regression
- Support Vector Machines (SVM)
- Decision Tree
- Naïve Bayes
- Ensemble Methods
- Random Forest
- Boosting and Optimization.
- Deep Learning Concepts
- Basics of Artificial Neural Network
- Deep Neural Networks
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Tensorflow
- Keras
- Introduction to Generative Adversarial Networks(GAN)
- OpenCV
- Basics of text processing
- Lexical processing
- Syntax and Semantics
- Other problems in text analytics
- Introduction to AI/Cognitive platforms and Understand the basics of Reinforcement Learning and its applications in AI.
Evaluation process
The candidates will be selected on the marks they have gained in the qualified degree.