AI INTERNSHIP FOR YOUNG ACHIEVERS (AIYA)

Start Date : December 2021 @NUS, Singapore

Accepting Grade 8-12 Students

What is AIYA?

There are innumerable ways in which AI is changing our lives – from improving the way medical science treats diseases to creating stronger and smarter buildings to driverless cars.

There are innumerable ways in which AI is changing our lives – from improving the way medical science treats diseases to creating stronger and smarter buildings to self-driving cars.

 

The AI Internship for Young Achievers (AIYA) is a hands-on learning experience designed for high school students from Grade 8 to 12. It is an open academic internship with participants from multiple countries across Asia.

The AI Internship for Young Achievers (AIYA) - LIVE Online is a hands-on learning experience designed for high school students from Grade 8 to 12. It is an open academic internship with participants from multiple countries across Asia.

 

It will enable you to discover how you can use the power of AI in any discipline and field of study and how machine learning and artificial intelligence can make peoples’ lives better. Through our Lab experience you will put your new skills to practical hands-on learning.

It will enable you to discover how you can use the power of AI in any discipline and field of study, also how machine learning and artificial intelligence can make peoples’ lives better. Through our hands-on sessions, you will put your new skills to practical hands-on learning.

 

At a Glance
Duration : 2 weeks
Grades : Grades 8 - 12
Academic Fee : SGD 2500
Programme Outcome : Transcript from NUS
Application Deadline : 30th November, 2020
Duration : 2 weeks
Learner Profile : Grades 8 - 12
Early Action Internship Fee : S$ 2199
Regular Decision Internship Fee : S$ 2399
Non–Internship Fee : S$ 999
Early Action Deadline : 30th September, 2021
Regular Decision Deadline : 16th November, 2021
Duration : 12 weeks
Learner Profile : Grades 8 - 12
Internship Fee :

S$ 1499*

Application Deadline : June 21, 2021
Mode of Delivery : LIVE Online

*Apply for scholarships, EMIs and Offers

Enroll Now

Download Brochure

Enroll Now

Download Brochure

Learning Intervention

Week 1

Date 9:00 AM – 1:00 PM 2:00 PM – 6:00 PM
Day 1 Sat Arrival and Check-in at NUS student dormitories (for residential participants)  
Day 2 Sun Orientation Ceremony  
Day 3 Mon Training @ NUS

Training @ NUS Artificial Intelligence Introduction

a. Terminology
b. Brief History of Artificial Intelligence
c. AI Topics and Techniques
d. Current Use of AI
e. New Frontiers of AI

Day 1 Quiz (NUS)

Admissions Expert Session

Admission Process @ world top 15 universities

a. Identify my career interest
b. What are my target universities looking for?
c. How to crack my target universities?
d. Financial aids and scholarships
Day 4 Tue Training @ NUS

AI vs Machine Learning vs Deep Learning

Types of Machine Learning

a. Supervised Learning
b. Unsupervised Learning
c. Reinforcement Learning

Day 2 Quiz (NUS)

Admissions Expert Session

What do I need to build a strong profile for my target universities?

Day 5 Wed Data Analytics

a. What it is?
b. Why do we analyze data?
c. Industry Case Studies: FB, Google etc.
d. Types of Data Analytics.
a. Predictive
b. Prescriptive
c. Descriptive

Day 3 Quiz (NUS)

Research Lab Visit

NUS Driverless Bus

Making driverless vehicles a reality - NUSmart Shuttle in action

Day 6 Thu

Introduction to Python

Day 4 Quiz (NUS)

Singapore Polytechnic Lab Visit

Data Science and Analytics Centre

Industry 4.0 and Future of AI in Asia

Day 7 Fri

Introduction to Python

1. Case Study: Natural Language Processing
2. Project Briefing

Final Quiz (NUS)

Industry Lab Visit

Grab +NUS AI Lab

Large-scale machine learning and visual analytics to process massive transportation data and innovative applications

Week 2

Date 9:00 AM – 1:00 PM 2:00 PM – 6:00 PM
Day 8 Sat Universal Studios  
Day 9 Sun Sentosa  
Day 10 Mon Training by HPE

Machine Learning (ML) Algorithms

Training by HPE

Hands-on Session

1. Machine Learning with Iris Flower Dataset
2. TensorFlow Playground

Day 1 Quiz (HPE)

Day 11 Tue Training by HPE

Deep Learning (DL) Algorithms

Training by HPE

Hands-on Session

Handwritten Digit Classification with DL and CNN

Day 2 Quiz (HPE)

Day 12 Wed Training @ NUS

Case Study: Image Classification

Training by HPE

Hands-on Session

1. X-ray Image Classification
2. Sentiment Analysis on IMDb Movie Reviews

Final Quiz (HPE)

Day 13 Thu Project Preparation and Consultation

Mock Presentations

Day 14 Fri Project Evaluation

Certificate Distribution

Day 15 Sat

Checkout and Departure (for residential participants)

 

Assessment Criteria

Assessment Component Weightage
Continuous assessment (MCQ Quizzes) 30%
End Term assessment (MCQ) 20%
Project Assessment 50%

All participants receive the following programme completion documents:

 

1. Certificate of Achievement by Corporate Gurukul, Singapore

2. Certificate of Completion by Hewlett Packard Enterprise (HPE)

3. Certificate of Completion by National University of Singapore (NUS)

4. Letter of Evaluation (LOE) from NUS faculty

Pedagogy
Learning Goals
Schedule

Week 1

Date 9:00 AM – 1:00 PM 2:00 PM – 6:00 PM
Day 1 Sat Arrival and Check-in at NUS student dormitories (for residential participants)  
Day 2 Sun Orientation Ceremony  
Day 3 Mon Training @ NUS

Training @ NUS Artificial Intelligence Introduction

a. Terminology
b. Brief History of Artificial Intelligence
c. AI Topics and Techniques
d. Current Use of AI
e. New Frontiers of AI

Day 1 Quiz (NUS)

Admissions Expert Session

Admission Process @ world top 15 universities

a. Identify my career interest
b. What are my target universities looking for?
c. How to crack my target universities?
d. Financial aids and scholarships
Day 4 Tue Training @ NUS

AI vs Machine Learning vs Deep Learning

Types of Machine Learning

a. Supervised Learning
b. Unsupervised Learning
c. Reinforcement Learning

Day 2 Quiz (NUS)

Admissions Expert Session

What do I need to build a strong profile for my target universities?

Day 5 Wed Data Analytics

a. What it is?
b. Why do we analyze data?
c. Industry Case Studies: FB, Google etc.
d. Types of Data Analytics.
a. Predictive
b. Prescriptive
c. Descriptive

Day 3 Quiz (NUS)

Research Lab Visit

NUS Driverless Bus

Making driverless vehicles a reality - NUSmart Shuttle in action

Day 6 Thu

Introduction to Python

Day 4 Quiz (NUS)

Singapore Polytechnic Lab Visit

Data Science and Analytics Centre

Industry 4.0 and Future of AI in Asia

Day 7 Fri

Introduction to Python

1. Case Study: Natural Language Processing
2. Project Briefing

Final Quiz (NUS)

Industry Lab Visit

Grab +NUS AI Lab

Large-scale machine learning and visual analytics to process massive transportation data and innovative applications

Week 2

Date 9:00 AM – 1:00 PM 2:00 PM – 6:00 PM
Day 8 Sat Universal Studios  
Day 9 Sun Sentosa  
Day 10 Mon Training by HPE

Machine Learning (ML) Algorithms

Training by HPE

Hands-on Session

1. Machine Learning with Iris Flower Dataset
2. TensorFlow Playground

Day 1 Quiz (HPE)

Day 11 Tue Training by HPE

Deep Learning (DL) Algorithms

Training by HPE

Hands-on Session

Handwritten Digit Classification with DL and CNN

Day 2 Quiz (HPE)

Day 12 Wed Training @ NUS

Case Study: Image Classification

Training by HPE

Hands-on Session

1. X-ray Image Classification
2. Sentiment Analysis on IMDb Movie Reviews

Final Quiz (HPE)

Day 13 Thu Project Preparation and Consultation

Mock Presentations

Day 14 Fri Project Evaluation

Certificate Distribution

Day 15 Sat

Checkout and Departure (for residential participants)

 
Assessment

Assessment Criteria

Assessment Component Weightage
Continuous assessment (MCQ Quizzes) 30%
End Term assessment (MCQ) 20%
Project Assessment 50%
Programme Completion Documents

All participants receive the following programme completion documents:

 

1. Certificate of Achievement by Corporate Gurukul, Singapore

2. Certificate of Completion by Hewlett Packard Enterprise (HPE)

3. Certificate of Completion by National University of Singapore (NUS)

4. Letter of Evaluation (LOE) from NUS faculty

Admissions

Scholarships

AIYA HIGH ACHIEVER AWARD

AIYA High Achiever Awards recognize participants who demonstrate academic excellence, good teamwork, sound character, strong leadership, and a passion for creativity and innovation.

Associates

National University of Singapore

The National University of Singapore (NUS) is the first autonomous research university in Singapore. NUS is a comprehensive research university, offering a wide range of disciplines. The QS World University Rankings 2019 ranked NUS 11th in the world and 1st in Asia. The Times Higher Education World University Rankings 2018 placed NUS at 22nd in the world and 1st in Asia-Pacific, while its 2018 reputation rankings placed it at 24th globally. In 2019, it ranked 27th among the universities around the world by SCImago Institutions Rankings.

The NUS School of Computing, established in 1975 is one of the leading computing schools in the world, with faculty members who are both internationally recognised researchers and inspiring teachers.

IT offers outstanding programmes across the full spectrum of the field of computing, including Computer Science, Information Systems, Computer Engineering, Business Analytics and Information Security, as well as specialisations in emerging areas of importance such as Artificial intelligence, Internet of Things, Fintech, Blockchain, Analytics and Security.

Faculty Profile

Dr. LEK Hsiang Hui

Dr. LEK Hsiang Hui

Senior Lecturer

Department of Information Systems & Analytics
School of Computing
National University of Singapore

Dr. LEK Hsiang Hui is a Lecturer at the Department of Information Systems and Analytics at National University of Singapore (NUS). He graduated with Bachelor of Computing (Honours) in Computer Engineering and PhD in Information Systems from National University of Singapore.

 

He currently teaches undergraduate courses in Enterprise Systems Design and Development courses. He also conducts executive training in Healthcare Analytics at the Centre of Health Informatics (CHI).

 

He has won the University level Annual Teaching Excellence Award for AY 2015/16, AY 2016/17, AY 2017/18, and placed on ATEA honor roll for AY2018/19. In addition, he has also won the Faculty Teaching Excellence Award (FTEA) for AY2014/15, AY2015/16, AY2016/17, and placed on FTEA honor roll for AY2017/18.

 

Hewlett Packard Enterprise

Change the world. At Hewlett Packard Enterprise Education, that’s not just an empty catchphrase. They believe in not just looking toward the future, but creating it – with groundbreaking new technologies, products, and services that change how businesses and individuals work and live.

HPE encourages real work that makes an impact, supported by the resources of a Fortune 50 company that collaborates with leading academics and research institutes worldwide. Participants apply insights, creativity, and problem-solving skills to a specific research question, examining and refining the topic to help discover new insights and solutions. The advanced research from Hewlett Packard Enterprise Education changes the world. They work hand-in-hand with students, bringing innovation roadmaps, integrating key technologies into existing solutions, and ensuring not only that we’re more agile and nimble in today’s competitive marketplace, but also accelerating how technology can drive R&D to commercialization.

At HPE Education, it is believed that technology’s greatest promise lies in its potential for positive change. Learn how we can use this change to overcome challenges and make a greater impact on the global good— together. HPE researchers and engineers are not only distinguished academically, but they’re also driven by wide-ranging curiosity and creativity and committed to real-world innovation. So if you have the mind of a scientist and the heart of an entrepreneur, and you dream of having a lasting impact on your field and our world, they will help you realize that dream!

Faculty Profile

Mr. Shantanu Pandey

Mr. Shantanu Pandey

Information & Communications Technology, Media & Information, Business & Management

Mr. Shantanu Pandey is a technology consultant who has worked on AI engines, systems, applications and portals for clients like TaxiForSure, OneIndia, CultureMachine, TableConnection, Canara Bank, HotWatch and more, with mix and match of tech. He has been training at NUS, Singapore for last 3 years conducting courses on AI, Machine Learning and IoT.

His passion for programming started at the age of six with C++ in the hope of developing games, and the awe of science has pushed him since then. After his stint with Microsoft, he got excited about the start-up ecosystem and eventually started his own company. He has also been associated with NUS and Corporate Gurukul and trained more than 10,000 students worldwide.

Shantanu's primary domains include Artificial Intelligence, Deep Learning, Machine Learning, Automation, Business, Entertainment, Fintech, Media, Services and Telecom.

National University of Singapore

The National University of Singapore (NUS) is the first autonomous research university in Singapore. NUS is a comprehensive research university, offering a wide range of disciplines. The QS World University Rankings 2019 ranked NUS 11th in the world and 1st in Asia. The Times Higher Education World University Rankings 2018 placed NUS at 22nd in the world and 1st in Asia-Pacific, while its 2018 reputation rankings placed it at 24th globally. In 2019, it ranked 27th among the universities around the world by SCImago Institutions Rankings.

The NUS School of Computing, established in 1975 is one of the leading computing schools in the world, with faculty members who are both internationally recognised researchers and inspiring teachers.

IT offers outstanding programmes across the full spectrum of the field of computing, including Computer Science, Information Systems, Computer Engineering, Business Analytics and Information Security, as well as specialisations in emerging areas of importance such as Artificial intelligence, Internet of Things, Fintech, Blockchain, Analytics and Security.

Faculty Profile

Dr. LEK Hsiang Hui

Dr. LEK Hsiang Hui

Senior Lecturer

Department of Information Systems & Analytics
School of Computing
National University of Singapore

Dr. LEK Hsiang Hui is a Lecturer at the Department of Information Systems and Analytics at National University of Singapore (NUS). He graduated with Bachelor of Computing (Honours) in Computer Engineering and PhD in Information Systems from National University of Singapore.

 

He currently teaches undergraduate courses in Enterprise Systems Design and Development courses. He also conducts executive training in Healthcare Analytics at the Centre of Health Informatics (CHI).

 

He has won the University level Annual Teaching Excellence Award for AY 2015/16, AY 2016/17, AY 2017/18, and placed on ATEA honor roll for AY2018/19. In addition, he has also won the Faculty Teaching Excellence Award (FTEA) for AY2014/15, AY2015/16, AY2016/17, and placed on FTEA honor roll for AY2017/18.

 

Hewlett Packard Enterprise

Change the world. At Hewlett Packard Enterprise Education, that’s not just an empty catchphrase. They believe in not just looking toward the future, but creating it – with groundbreaking new technologies, products, and services that change how businesses and individuals work and live.

HPE encourages real work that makes an impact, supported by the resources of a Fortune 50 company that collaborates with leading academics and research institutes worldwide. Participants apply insights, creativity, and problem-solving skills to a specific research question, examining and refining the topic to help discover new insights and solutions. The advanced research from Hewlett Packard Enterprise Education changes the world. They work hand-in-hand with students, bringing innovation roadmaps, integrating key technologies into existing solutions, and ensuring not only that we’re more agile and nimble in today’s competitive marketplace, but also accelerating how technology can drive R&D to commercialization.

At HPE Education, it is believed that technology’s greatest promise lies in its potential for positive change. Learn how we can use this change to overcome challenges and make a greater impact on the global good— together. HPE researchers and engineers are not only distinguished academically, but they’re also driven by wide-ranging curiosity and creativity and committed to real-world innovation. So if you have the mind of a scientist and the heart of an entrepreneur, and you dream of having a lasting impact on your field and our world, they will help you realize that dream!

Faculty Profile

Mr. Shantanu Pandey

Mr. Shantanu Pandey

Information & Communications Technology, Media & Information, Business & Management

Mr. Shantanu Pandey is a technology consultant who has worked on AI engines, systems, applications and portals for clients like TaxiForSure, OneIndia, CultureMachine, TableConnection, Canara Bank, HotWatch and more, with mix and match of tech. He has been training at NUS, Singapore for last 3 years conducting courses on AI, Machine Learning and IoT.

His passion for programming started at the age of six with C++ in the hope of developing games, and the awe of science has pushed him since then. After his stint with Microsoft, he got excited about the start-up ecosystem and eventually started his own company. He has also been associated with NUS and Corporate Gurukul and trained more than 10,000 students worldwide.

Shantanu's primary domains include Artificial Intelligence, Deep Learning, Machine Learning, Automation, Business, Entertainment, Fintech, Media, Services and Telecom.

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Frequently Asked Questions

What is the AIYA?

The A.I. Internship is a 15-day fully residential camp full of learning, workshops and practical sessions to give students an introduction to the world of machine learning and artificial intelligence and how it affects our lives. It is conducted at the National University of Singapore (NUS).

The academic internship is conducted by Corporate Gurukul Pte. Ltd., Singapore in association and certified by:

  • National University of Singapore (NUS), Singapore
  • Hewlett Packard Enterprise (HPE) Education

It is a fully residential academic internship conducted at NUS, Singapore

It is an academic internship, which is a hands-on guided experience in an academic environment to hone industry-relevant skills and knowledge in a chosen domain with mentorship and training by university professor(s) and industry professional(s).

  • They will understand, experience and apply fundamental AI concepts.
  • They will appreciate the workings behind real life AI research and applications.
  • They will conceptualise, design and implement a social/ technological innovation project with expert inputs from faculty from NUS and professionals from HPE.
  • They will get insights on higher education and the international university admission process and applications in industry.
  • They will develop a strong profile for international university admissions.

Our project managers will be able to guide you to the admissions department. You will need to explore opportunities on your own with the admissions department based on your area of passion and interest for higher studies.

How do I apply?

You may download the brochure below or fill in the interest form. One of our counsellors will be in touch with you to take it forward and assist you with the enrollment. You may also enrol through our website and make the payment via a Debit/Credit card or Online Banking.

This program is open to all students from middle school and high school . This is an open programme that focuses on providing a better understanding of Artificial Intelligence, how it is changing our world, its benefits and usage in our everyday lives.

No, our course is specially designed to ensure that students from all streams and areas of study can easily understand the concepts taught at this internship.

Yes, students studying the ICSE, CBSE, IB MYP, IB DP, IGCSE curriculum can apply for the programme. Students can be of any nationality, ethnicity and belong to any country!

This is a fully-residential program. All students and visiting faculty will stay at the NUS dormitories in a single room, non-AC accommodation. NUS has a cafeteria which serves food from 16 countries: vegetarian and non-vegetarian options are available.

Please refer the programme fee on the website. In addition to that, you should factor in the cost of flights, insurance and visa applications . Also, food expenses are an additional cost of approximately S$ 20 per day.

The academic internship schedule, date and time are subject to change based on the availability of professor(s) from NUS and professionals from HPE Education. Prior notice will be given to all concerned parties on the change of date and the best efforts will be made by Corporate Gurukul to accommodate all parties when deciding the revised schedule, date and time.

The selection criteria are as follows:

  1. Overall academic performance (grades) in current year or previous year
  2. Resume and Essays in Application Form

What is the last date to pay for the registration fees?

Please refer the Offer Letter issued to you.

  • Curriculum design, training, assignments and evaluation by professor(s) from NUS, Singapore
  • Curriculum design, training and assignments by certified professional(s) from HPE Education
  • ‘Certificate of Completion’ by National University of Singapore
  • ‘Certificate of Completion’ by Hewlett Packard Enterprise Education
  • Transcript by faculty from NUS, Singapore
  • Flights/Visa/Travel Insurance
  • Local Transport in India
  • Breakfast, Lunch and Dinner
  • International SIM Card
  • Local Transport in Singapore for personal visits/sightseeing
  • Entrance Fee to various tourist attractions in Singapore
  • Medical expenses in Singapore
  • Gym, laundry or any other hostel facility charges
  • Stay in Singapore before or after academic internship dates

Which certificate(s) and transcript(s) will I get after completion of this academic internship?

  • Certificate of Participation from NUS
  • Certificate of Participation from HPE
  • Course Transcript from NUS

Issuance of all certificates and the LoE will be at Corporate Gurukul’s discretion subject to:

  1. the participant’s performance
  2. completion of assignments and
  3. 90% attendance during the academic internship

The certificates will be awarded during the Valedictory Ceremony at the end of the programme.

The LOE(s) will be posted to your respective institutes 60 days post the programme completion.

The hands-on sessions are conducted in the Lecture Theatre/Seminar Rooms. You will not visit any laboratories for the same unless requested by the professor(s).

Laptop with the specifications mentioned in ACADEMIC INTERNSHIP PREREQUISITES is MANDATORY for all participants.

No. The entire academic internship is delivered at NUS, Singapore.

Yes, you will be assigned teams for project work and assignments. These teams typically consist of 4-5 members.

No, the team members are assigned by Corporate Gurukul team in consultation with the professor(s). They are created keeping in mind that the prerequisite readiness and a proper mix of students from various institutions. Any request for choice of team member will not be entertained.

All assignments and projects will be submitted on the Learning Management System, Acadly.

Assignments will be given daily and need to be submitted as per specified deadline. You may be required to work on the assignments in teams or individually as per the nature of assignment.

You are required to complete one project during the duration of the programme. This will be done in teams.

The project presentations will be conducted post the HPE and NUS sessions.

Yes, both HPE and NUS sessions will be graded.

The MCQ Quiz will be conducted every day during the afternoon session.

Any late submissions of project, assignments or quizzes beyond specified deadline will carry negative marks.

About AIYA

What is the AIYA?

The A.I. Internship is a 15-day fully residential camp full of learning, workshops and practical sessions to give students an introduction to the world of machine learning and artificial intelligence and how it affects our lives. It is conducted at the National University of Singapore (NUS).

The academic internship is conducted by Corporate Gurukul Pte. Ltd., Singapore in association and certified by:

  • National University of Singapore (NUS), Singapore
  • Hewlett Packard Enterprise (HPE) Education

It is a fully residential academic internship conducted at NUS, Singapore

It is an academic internship, which is a hands-on guided experience in an academic environment to hone industry-relevant skills and knowledge in a chosen domain with mentorship and training by university professor(s) and industry professional(s).

  • They will understand, experience and apply fundamental AI concepts.
  • They will appreciate the workings behind real life AI research and applications.
  • They will conceptualise, design and implement a social/ technological innovation project with expert inputs from faculty from NUS and professionals from HPE.
  • They will get insights on higher education and the international university admission process and applications in industry.
  • They will develop a strong profile for international university admissions.

Our project managers will be able to guide you to the admissions department. You will need to explore opportunities on your own with the admissions department based on your area of passion and interest for higher studies.

Applying for AIYA

How do I apply?

You may download the brochure below or fill in the interest form. One of our counsellors will be in touch with you to take it forward and assist you with the enrollment. You may also enrol through our website and make the payment via a Debit/Credit card or Online Banking.

This program is open to all students from middle school and high school . This is an open programme that focuses on providing a better understanding of Artificial Intelligence, how it is changing our world, its benefits and usage in our everyday lives.

No, our course is specially designed to ensure that students from all streams and areas of study can easily understand the concepts taught at this internship.

Yes, students studying the ICSE, CBSE, IB MYP, IB DP, IGCSE curriculum can apply for the programme. Students can be of any nationality, ethnicity and belong to any country!

This is a fully-residential program. All students and visiting faculty will stay at the NUS dormitories in a single room, non-AC accommodation. NUS has a cafeteria which serves food from 16 countries: vegetarian and non-vegetarian options are available.

Please refer the programme fee on the website. In addition to that, you should factor in the cost of flights, insurance and visa applications . Also, food expenses are an additional cost of approximately S$ 20 per day.

The academic internship schedule, date and time are subject to change based on the availability of professor(s) from NUS and professionals from HPE Education. Prior notice will be given to all concerned parties on the change of date and the best efforts will be made by Corporate Gurukul to accommodate all parties when deciding the revised schedule, date and time.

Academics

The selection criteria are as follows:

  1. Overall academic performance (grades) in current year or previous year
  2. Resume and Essays in Application Form

Payment

What is the last date to pay for the registration fees?

Please refer the Offer Letter issued to you.

  • Curriculum design, training, assignments and evaluation by professor(s) from NUS, Singapore
  • Curriculum design, training and assignments by certified professional(s) from HPE Education
  • ‘Certificate of Completion’ by National University of Singapore
  • ‘Certificate of Completion’ by Hewlett Packard Enterprise Education
  • Transcript by faculty from NUS, Singapore
  • Flights/Visa/Travel Insurance
  • Local Transport in India
  • Breakfast, Lunch and Dinner
  • International SIM Card
  • Local Transport in Singapore for personal visits/sightseeing
  • Entrance Fee to various tourist attractions in Singapore
  • Medical expenses in Singapore
  • Gym, laundry or any other hostel facility charges
  • Stay in Singapore before or after academic internship dates

Programme Completion Documents

Which certificate(s) and transcript(s) will I get after completion of this academic internship?

  • Certificate of Participation from NUS
  • Certificate of Participation from HPE
  • Course Transcript from NUS

Issuance of all certificates and the LoE will be at Corporate Gurukul’s discretion subject to:

  1. the participant’s performance
  2. completion of assignments and
  3. 90% attendance during the academic internship

The certificates will be awarded during the Valedictory Ceremony at the end of the programme.

The LOE(s) will be posted to your respective institutes 60 days post the programme completion.

The hands-on sessions are conducted in the Lecture Theatre/Seminar Rooms. You will not visit any laboratories for the same unless requested by the professor(s).

Laptop with the specifications mentioned in ACADEMIC INTERNSHIP PREREQUISITES is MANDATORY for all participants.

No. The entire academic internship is delivered at NUS, Singapore.

Yes, you will be assigned teams for project work and assignments. These teams typically consist of 4-5 members.

No, the team members are assigned by Corporate Gurukul team in consultation with the professor(s). They are created keeping in mind that the prerequisite readiness and a proper mix of students from various institutions. Any request for choice of team member will not be entertained.

All assignments and projects will be submitted on the Learning Management System, Acadly.

Assignments will be given daily and need to be submitted as per specified deadline. You may be required to work on the assignments in teams or individually as per the nature of assignment.

You are required to complete one project during the duration of the programme. This will be done in teams.

The project presentations will be conducted post the HPE and NUS sessions.

Yes, both HPE and NUS sessions will be graded.

The MCQ Quiz will be conducted every day during the afternoon session.

Any late submissions of project, assignments or quizzes beyond specified deadline will carry negative marks.