National Institute of Electronics and Information

Technology, Chennai

COURSE PROSPECTUS

Name of the Group: VLSI/ES/AE

Name of the Course: Online Certificate course in Machine Learning
Course Code: AI 200
Starting Date: 1st June 2020
Duration: 6 weeks
Course Coordinator: Mr. Ripunjay Singh (Scientist-D), Mob :9445220125
Last date of Registration: 29th May 2020

Preamble:
Machine Learning (ML) refers to technology used to do a task by machine that requires some
level of intelligence to accomplish — in other words, a tool trained to do what a human can do. Why ML
is different from ordinary software? Three core components — high-speed computation, a huge amount
of quality data and advanced algorithms differentiates ML from ordinary software. Core ML technologies
provide better accuracy and stability to everyday processes using an algorithm that connects quality data
with fast computation services. Machine learning technology is used to add wisdom for progressively
increasing amount of data. The use of ML and Data Science analysis offers better insight into how to
execute and operate. The success of any organization depends on how effectively it combines people,
process and technology intelligently to deliver transformational value at an optimized cost. ML will help
to automate many back-office functions efficiently for reliable transactions and service delivery.

ML has emerged as a leading technology used in the Booming areas like Artificial Intelligence
(AI), Internet of Things (IoT) and Data analytics. Currently available academic curriculum is not much
enough to fulfil the requirement of Skills needed for ML in Industry. This course will offer required skills
and hands-on experience in ML to candidate and professionals; this will increase the
employability opportunity for candidate and bridge the gap of Skilled Human requirement for Industry.

Objective of the Course:

To develop the skills required for Machine Learning Technologies with use of Python to analyse data,
create beautiful visualizations, and problem solving using powerful machine learning algorithms.

Outcome of the Course:

After successful completion of this Course, students can able to:

 Develop Programming Skills Required for Machine Learning

 Learn to Analyse and Process the Data
 Learn to use Data Analytics tools: Numpy, Panda for various applications
 Learn to use Machine learning tool Scikit - Learn for various applications
 Develop expertise in implementation of ML algorithm using Python
 National Institute of Electronics and Information
Technology, Chennai
Course Structure:

S.No. Topics Duration (in weeks)

via online mode
Module 1: Python Programming
 An Introduction to Python
 Beginning Python Basics
 Python Program Flow
1  Functions& Modules 2 weeks
 Exceptions Handling
 File Handling
 Classes in Python

Module 2: Data Science and Analytics

 An Introduction to Data Science and Analytics
 Data Analysis Using NumPy
2  Data Analysis Using Pandas 2 weeks
 Data Visualization – Pandas, Matplotlib,
Seaborne, Plotly and Cufflinks

Module 3: Machine Learning

 Introduction to Machine Learning
 Linear Regression
 Logistic Regression
 K-Means Clustering
3  Decision Tree 2 weeks
 Random Forest
 K-Nearest Neighbours
 Support Vector Machine
 Naive Bayes

4 Mini Project & Assignments Within the stipulated

learning period

Total 6 weeks

Other Details:

Course Fees: Rs. 700/- (Including GST) (Non-Refundable)

However the above Training fee shall be refunded on few special cases as given below:
1. If course postponed and new date is not convenient for the student.
2. If course cancelled
Payment schedule : The Fee has to be paid in one instalment as given below.

Instalment No. Last Date for Payment Amount (in Rs.)

1. 29-05-2020 Rs. 700/-

 National Institute of Electronics and Information
Technology, Chennai

Eligibility: Pursuing students and Graduates of B.E/B.Tech/MCA/B.Sc/M.Sc/B.Com

How to apply:
Candidates can apply online in our website http://14.139.173.196/reg/ . Payment towards
Course fee can be paid through any one of the following modes:

 DD drawn from a nationalized bank (preferably SBI) in favor of ―NIELIT Chennai‖

payable at Chennai.
 Online transaction: Account No: 31185720641 Branch: Kottur (Chennai), IFS Code:
SBIN0001669.
 Pay through Nationalized Bank Debit Card (Service charges applicable)

Note: The Institute will not be responsible for any mistakes done by either the bank concerned
or by the depositor while remitting the amount into our account.

Last date of Registration: 29th May 2020

Selection of candidates: Selection is based on the first come basis (subject to fulfilling the
eligibility criteria)

Admission Procedure:
th
All interested candidates are required to fill the Registration form with the Course fees before 29
May 2020 with all the necessary following documents.
 Original and self-attested Copies of Proof of Age, Qualifying Degree (Consolidated Mark
sheet & Degree Certificate/Course Completion Certificate), etc.
 One passport size photograph and one stamp size photograph for identity card.
 Self-attested copy of Govt. issued photo ID card

Note: Working days are from Monday to Friday.

Discontinuing the course: No fees under any circumstances shall be refunded in case of a
student discontinuing the course. No certificate shall be issued if discontinued.

Course Timings: 1 hour online daily (from Monday to Friday) during working hours

Mode of Training: Online

Location:

NIELIT Chennai is located at Gandhi Mandapam Road, Kotturpuram, Chennai (Landmark: Opp.
To Anna Centenary Library)
 National Institute of Electronics and Information
Technology, Chennai

Address: National Institute of Electronics and Information Technology Chennai Centre,

ISTE Complex, No. 25, Gandhi Mandapam Road, Chennai – 600025
E-mail: training.chennai@nielit.gov. in / Phone: 044-24421445
Contact Person: Ripunjay Singh. N, Mobile: 9445220125.

Course enquiries: Students can enquire about the various courses either on telephone or by personal
contact between 9.15 A.M. to 5.15 P.M. (Lunch time 1.00 pm to 1.30 pm) Monday to Friday.
 National Institute of Electronics and Information
Technology, Chennai

Annexure

Detailed Syllabus of the Course

Module 1: Python Programming

 An Introduction to Python
 Beginning Python Basics
 Python Program Flow
 Functions& Modules
 Exceptions Handling
 File Handling
 Classes in Python

Module 2: Data Science and Analytics

 An Introduction to Data Science and Analytics
 Data Analysis Using NumPy,
 Data Analysis Using Pandas
 Data Visualization – Pandas, Matplotlib, Seaborne, Plotly and Cufflinks

Module 3: Machine Learning

 Introduction to Machine Learning
 Linear Regression
 Logistic Regression
 K-Means Clustering
 Decision Tree
 Random Forest
 K-Nearest Neighbors
 Support Vector Machine
 Naive Bayes

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