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 Certified AI Professional course is designed to prepare candidates to solve problems in real-world scenarios with the help of Artificial Intelligence, provided to candidates by the National Institute of Electronics and Information Technology, Calicut. This course explains how to formulate Artificial Intelligence (AI) problems and solve them successfully with the help of raw data collected from various domains.
The Certified AI Professional by NIEIT Calicut describes how basic data analysis is done alongside machine learning development methods taught to the candidates with the unstructured & structured data. This course teaches how to make correct predictions and improve AI decision-making skills with the inclusion of images, videos, and texts using natural language processing and deep learning.
This program covers linux basics, data visualization, probability, and statistical methods, all of which enhance the candidate’s AI processes. The Certified AI Professional course also deals with reinforcement study methods, artificial neural networks, and applications of the same in Artificial Intelligence.
The Highlights
- The government of India recognised certificate
- Course extent-12 weeks
- Experienced instructor training
- Virtual classroom experience
- Certification from NIELIT
- Teaching through the Moodle Learning Management System
Programme Offerings
- Online Classrooms
- Doubt Solving Sessions-Live
- Online tests
- assignments
- External Blog Links
- Digital Lecture Videos
- Study Material in Text Format
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | NIELIT Calicut |
The Certified AI Professional fees are as follows:
Particulars | Amount |
Certified AI Professional ( including GST and KFC) | Rs. 12,000/- |
Eligibility Criteria
Education
The candidates should either have a 3-year diploma in Computer Science/ Electronics/ IT, or a BSc degree in the same. Candidates can have either of these degrees: BE/BTech or BCA. Degree holders with PGDCA, DOEACC A, B level, or individuals with equivalent knowledge in programming can also do this course.
Certification Qualifying Details
This certification from NIELIT will be given only if the candidate is successful in completing the entire Certified AI Professional course within the stipulated time and it will be based on the combined score gained by the candidate in accordance with the NIELIT grading scheme.
What you will learn
After completing the Certified AI Professional syllabus, the candidates will be able to master the following:
- Machine Learning and Deep Learning.
- The importance of Artificial Intelligence to solve all of the business in today’s market setting.
- Concepts of Reinforcement Learning, Natural Language Processing
- How AI teams function in the real-world scenario.
- Differentiate between the structured and unstructured data
- Data management system and designing and database interaction with Python.
- Ensemble methods (boosting, random forest, and optimization)
- The model evaluation techniques to comprehend data processing and encoding
Who it is for
The certified AI Professional course by NIELIT is for the following set of individuals:
- People interested in forming a career in the AI domain
- Recently graduated students who wish to start a profession in AI
- Professionals who are already experienced but wish to change their file to the AI domain
- Research gurus or faculty members willing to gain specialization in AI
Admission Details
In order to register for the Certified AI Professional online course provided by NIELIT, candidates must refer to the steps for admission that are mentioned as follows:
Step 1: Visit the course page.
https://nielit.gov.in/content/online-course-certified-ai-professional
Step 2: Click on the ‘Register Now’ tag and candidates can now enter all their fundamental details.
Step 3: Click on the ‘Register and Proceed to Payment’ option to proceed further and enter the bank account details.
Step 4: Selected participants can check their mail or the list on the NIELIT website to check their registration.
Step 5: To proceed further, they have to upload self-attested copies of signature, address proof, qualification proof & passport size photo.
(The portal link to upload the documents will be sent to the candidates.)
The Syllabus
Linux Basics
- 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
- Popular python packages like pandas for data handling
- Introduction to Database Management System & SQL
- Database Interaction in Python
- Data Analysis & visualization – using numpy
- Matplotlib
- Scipy
- Pandas
- Vectors
- Lists
- Matrices
- Arrays
- Data Frames
- Data visualization - barplot
- pie
- scatterplot
- histogram
- scatter matrix
- Probability and Statistics-Probability
- Mean
- Median
- SD
- Variance
- Probability
- distributions - Normal distribution
- Poisson distribution
- Binomial distribution
- Correlation and Regression
Structured and Unstructured Data
Data Preprocessing
- Handling missing data
- Data Standardization
- Label Encoding
- One hot encoding
Supervised and Unsupervised Learning
Classification, Regression & Clustering
Linear Algebra
Machine Learning Algorithms
- Ensemble Methods -Random Forest
- Boosting and Optimization, etc
Model Evaluation Metrics
- Model Evaluation Metrics
Deep Learning Concepts
- Deep Learning Concepts
Artificial Neural Network
- Artificial Neural Network
Deep Neural Networks
- Convolutional Neural Network
- Recurrent Neural Network
- Tensorflow, Keras
- Image Processing using OpenCV
- Face Recognition
- Video Analytics
Natural Language Processing Methods
- Basics of text processing
- Lexical processing
- Syntax and Semantics
- Parts of Speech Tagging
- Applications like Sentiment Analysis
- Text Classification
- Text Summarization
- Document Clustering
- Document Similarity
- Web Crawling etc