What is AIYA?
Learning Intervention
Classroom Training
Understand the fundamental AI concepts in your area of passion/subject area.
Hands-on sessions
Apply various techniques and appreciate the workings behind real-life AI through hands-on sessions.
Lab Visits
An opportunity to witness how various industries and research are innovating across domains through AI.
Project Work
Complete a social/ technological innovation project using AI in your passion/subject area.
Group Presentation
Present projects and get assessed by faculty @ NTU and professionals @ Amazon.
INDICATIVE SESSION PLAN FOR AIYA EXPERIENTIAL ON CAMPUS – JUNE/JULY’2023
Conceptual Learning with NTU, On Campus at NTU Singapore | ||||
---|---|---|---|---|
Sessions | Concepts | Hands-On | Assessment | |
Session - 1 | Introduction to Artificial Intelligence
|
|
|
|
Session - 2 | Understanding data and lifecycle
|
|
||
Session 3 | Machine Learning Fundamentals
|
|
||
Session 4 | Unsupervised Learning and other concepts
|
|
||
Session 5 | Neural Networks and Deep Learning
|
|
PRACTICAL LEARNING SESSION - Hands - On Application with CG
Sessions | Concepts | Hands-On | Project | Assessment |
---|---|---|---|---|
Session - 1 |
|
|
|
|
Session - 2 |
|
|
||
Session 3 | Building their own model from scratch
|
|
||
Session 4 |
|
|
||
Session 5 |
|
|
INDICATIVE SESSION PLAN - Hands - On Application with Amazon (AWS)
Sessions: 3 hours x 5 session = 15 hours. On Campus: Weekdays only | ||||
---|---|---|---|---|
Sessions | Concepts | Hands-On | Project | Assessment |
1 | Introduction to Artificial Intelligence
|
|
|
|
2 | Introduction to Natural Language Processing (NLP)
|
|
||
3 | Introduction to Deep Learning and Artificial Neural Networks (ANN)
|
|
||
4 | Image Classification
|
|
||
5 | Deployment and Testing
|
|
Week 1
DAY | 9:00 AM – 12:00 PM | 2:00 PM – 5:00 PM | 6:00 PM – 8:00 PM |
---|---|---|---|
Day 1 (Sunday) | Arrival in Singapore and Check-in (after 2:00 PM) |
City Tour (4:00 PM – 6:00 PM) (Esplanade, Merlion, Marina Bay Sands, China Town, Little India) |
Dinner at Little India Free and Easy |
Day 2 | NTU Coursework and Sessions | Session with Technical Assistants |
Self-Directed Teamwork |
Day 3 | NTU Coursework and Sessions | Session with Technical Assistants | Self-Directed Teamwork |
Day 4 | NTU Coursework and Sessions |
Session with Technical Assistants |
Self-Directed Teamwork |
Day 5 | NTU Coursework and Sessions |
Session with Technical Assistants |
Self-Directed Teamwork |
Day 6 |
NTU Coursework and Sessions |
Session with Technical Assistants |
Self-Directed Teamwork |
Day 7 (Saturday) |
-------------------------- |
Visit to Universal Studio |
----------------------------- |
Day 8 (Sunday) |
--------------------------- | Visit to Sentosa and shopping at Mustafa Centre |
------------------------------ |
Week 2
Date | 9:00 AM – 12:00 PM | 2:00 PM – 5:00 PM | 6:00 PM –8:00 PM |
---|---|---|---|
Day 9 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Self-Directed Teamwork |
Day 10 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Free and Easy Singapore Tour |
Day 11 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Self-Directed Teamwork |
Day 12 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Student Project & Mock Presentations |
Day 13 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Work on Presentation Feedback |
Day 14 (Saturday) |
Assessment by NTU and AMAZON Faculty Final Student Project Presentation & AI Guru Contest |
Valedictory Ceremony |
Night Safari |
Day 15 (Sunday) |
------------------------------------------- |
Check-out before 2 pm SGT |
------------------------------------ |
Assessment Criteria
Assessment Component | Weightage |
---|---|
Weekly Group Assignments/Quiz | 20% |
End Term Quiz | 40% |
Project Presentation | 40% |
1. Certificate of Completion from Nanyang Technological University (NTU)
2. Certificate of Completion from Amazon (AWS)
3. Individual Letter of Recommendation for top project group from NTU


DISCLAIMER: ABOVE DOCUMENT IS INDICATIVE AND SUBJECT TO MINOR CHANGES BASED ON PARTNER DISCRETION.
Classroom Training
Understand the fundamental AI concepts in your area of passion/subject area.
Hands-on sessions
Apply various techniques and appreciate the workings behind real-life AI through hands-on sessions.
Lab Visits
An opportunity to witness how various industries and research are innovating across domains through AI.
Project Work
Complete a social/ technological innovation project using AI in your passion/subject area.
Group Presentation
Present projects and get assessed by faculty @ NTU and professionals @ Amazon.
INDICATIVE SESSION PLAN FOR AIYA EXPERIENTIAL ON CAMPUS – JUNE/JULY’2023
Conceptual Learning with NTU, On Campus at NTU Singapore | ||||
---|---|---|---|---|
Sessions | Concepts | Hands-On | Assessment | |
Session - 1 | Introduction to Artificial Intelligence
|
|
|
|
Session - 2 | Understanding data and lifecycle
|
|
||
Session 3 | Machine Learning Fundamentals
|
|
||
Session 4 | Unsupervised Learning and other concepts
|
|
||
Session 5 | Neural Networks and Deep Learning
|
|
PRACTICAL LEARNING SESSION - Hands - On Application with CG
Sessions | Concepts | Hands-On | Project | Assessment |
---|---|---|---|---|
Session - 1 |
|
|
|
|
Session - 2 |
|
|
||
Session 3 | Building their own model from scratch
|
|
||
Session 4 |
|
|
||
Session 5 |
|
|
INDICATIVE SESSION PLAN - Hands - On Application with Amazon (AWS)
Sessions: 3 hours x 5 session = 15 hours. On Campus: Weekdays only | ||||
---|---|---|---|---|
Sessions | Concepts | Hands-On | Project | Assessment |
1 | Introduction to Artificial Intelligence
|
|
|
|
2 | Introduction to Natural Language Processing (NLP)
|
|
||
3 | Introduction to Deep Learning and Artificial Neural Networks (ANN)
|
|
||
4 | Image Classification
|
|
||
5 | Deployment and Testing
|
|
Week 1
DAY | 9:00 AM – 12:00 PM | 2:00 PM – 5:00 PM | 6:00 PM – 8:00 PM |
---|---|---|---|
Day 1 (Sunday) | Arrival in Singapore and Check-in (after 2:00 PM) |
City Tour (4:00 PM – 6:00 PM) (Esplanade, Merlion, Marina Bay Sands, China Town, Little India) |
Dinner at Little India Free and Easy |
Day 2 | NTU Coursework and Sessions | Session with Technical Assistants |
Self-Directed Teamwork |
Day 3 | NTU Coursework and Sessions | Session with Technical Assistants | Self-Directed Teamwork |
Day 4 | NTU Coursework and Sessions |
Session with Technical Assistants |
Self-Directed Teamwork |
Day 5 | NTU Coursework and Sessions |
Session with Technical Assistants |
Self-Directed Teamwork |
Day 6 |
NTU Coursework and Sessions |
Session with Technical Assistants |
Self-Directed Teamwork |
Day 7 (Saturday) |
-------------------------- |
Visit to Universal Studio |
----------------------------- |
Day 8 (Sunday) |
--------------------------- | Visit to Sentosa and shopping at Mustafa Centre |
------------------------------ |
Week 2
Date | 9:00 AM – 12:00 PM | 2:00 PM – 5:00 PM | 6:00 PM –8:00 PM |
---|---|---|---|
Day 9 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Self-Directed Teamwork |
Day 10 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Free and Easy Singapore Tour |
Day 11 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Self-Directed Teamwork |
Day 12 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Student Project & Mock Presentations |
Day 13 | AMAZON Coursework and Hands-on Sessions | Sessions with Technical Assistants | Work on Presentation Feedback |
Day 14 (Saturday) |
Assessment by NTU and AMAZON Faculty Final Student Project Presentation & AI Guru Contest |
Valedictory Ceremony |
Night Safari |
Day 15 (Sunday) |
------------------------------------------- |
Check-out before 2 pm SGT |
------------------------------------ |
Assessment Criteria
Assessment Component | Weightage |
---|---|
Weekly Group Assignments/Quiz | 20% |
End Term Quiz | 40% |
Project Presentation | 40% |
1. Certificate of Completion from Nanyang Technological University (NTU)
2. Certificate of Completion from Amazon (AWS)
3. Individual Letter of Recommendation for top project group from NTU


DISCLAIMER: ABOVE DOCUMENT IS INDICATIVE AND SUBJECT TO MINOR CHANGES BASED ON PARTNER DISCRETION.
Admissions
Who should attend?
Dates and Deadlines for Admission
Requirement for Admissions
Class Profile
Programme Fee
Associates
Nanyang Technological University (NTU)
A research-intensive public university, Nanyang Technological University (NTU), Singapore has 33,000 undergraduate and postgraduate students in the colleges of Engineering, Business, Science, and Humanities, Arts and Social Sciences, and its Graduate College.
NTU is consistently ranked within the top 20 universities in the world according to most rankings, and is currently ranked 19th globally in the QS World University Rankings 2022-2023. In 2019, NTU was placed 11th globally in the QS World University Rankings. It was also ranked the world’s best young university (under 50 years old) by QS for the sixth consecutive year in 2019. In addition, NTU was named the world’s fastest rising young university by Times Higher Education in 2015.
Faculty Profile
Dr. Kwoh Chee Keong

Dr. Kwoh Chee Keong
Deputy Executive Director
Centre for Professional and Continuing Education (PaCE@NTU)
Nanyang Technological University
Dr. Kwoh Chee Keong is currently in the School of Computer Science and Engineering since 1993. He is also the Executive Deputy Director of Centre for Professional and Continuing Education, PaCE@NTU.
Dr. Kwoh's main interests lie in the desire to making sense of big heterogeneous data by applying various AI, Machine Learning and Data Analytics methodologies for real application in engineering, life science, medical and manufacturing. These include: Data Analytics and Mining, Soft Computing, Artificial Intelligence, Machine Learning, and Statistical Inference, Learning with Unlabeled Data, Meta and Ensemble learning.
He has done significant research work his research areas applying various Machine Learning and Data Analytics methodologies and published many quality international conferences and journal papers.
Dr. Yong Ee Hou

Dr. Yong Ee Hou
Assistant Professor
Nanyang Technological University
Dr. Yong Ee Hou is an Assistant Professor in Physics and Applied Physics at the School of Physical and Mathematical Sciences at Nanyang Technological University. He received his BSc in Mathematics, BSc in Physics, MSc in Statistics from Stanford University, and PhD in Physics from Harvard University.He works on various problems in statistical and biological physics such as complex networks, control theory, phase transitions, biomechanical models, stochastic processes, etc.
Amazon
Amazon - World leader in e-commerce, cloud computing, digital streaming and AI.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and
voice-assisted devices.
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.

Nanyang Technological University (NTU)
A research-intensive public university, Nanyang Technological University (NTU), Singapore has 33,000 undergraduate and postgraduate students in the colleges of Engineering, Business, Science, and Humanities, Arts and Social Sciences, and its Graduate College.
NTU is consistently ranked within the top 20 universities in the world according to most rankings, and is currently ranked 19th globally in the QS World University Rankings 2022-2023. In 2019, NTU was placed 11th globally in the QS World University Rankings. It was also ranked the world’s best young university (under 50 years old) by QS for the sixth consecutive year in 2019. In addition, NTU was named the world’s fastest rising young university by Times Higher Education in 2015.
Faculty Profile
Dr. Kwoh Chee Keong

Dr. Kwoh Chee Keong
Deputy Executive Director
Centre for Professional and Continuing Education (PaCE@NTU)
Nanyang Technological University
Dr. Kwoh Chee Keong is currently in the School of Computer Science and Engineering since 1993. He is also the Executive Deputy Director of Centre for Professional and Continuing Education, PaCE@NTU.
Dr. Kwoh's main interests lie in the desire to making sense of big heterogeneous data by applying various AI, Machine Learning and Data Analytics methodologies for real application in engineering, life science, medical and manufacturing. These include: Data Analytics and Mining, Soft Computing, Artificial Intelligence, Machine Learning, and Statistical Inference, Learning with Unlabeled Data, Meta and Ensemble learning.
He has done significant research work his research areas applying various Machine Learning and Data Analytics methodologies and published many quality international conferences and journal papers.
Dr. Yong Ee Hou

Dr. Yong Ee Hou
Assistant Professor
Nanyang Technological University
Dr. Yong Ee Hou is an Assistant Professor in Physics and Applied Physics at the School of Physical and Mathematical Sciences at Nanyang Technological University. He received his BSc in Mathematics, BSc in Physics, MSc in Statistics from Stanford University, and PhD in Physics from Harvard University.He works on various problems in statistical and biological physics such as complex networks, control theory, phase transitions, biomechanical models, stochastic processes, etc.

Amazon
Amazon - World leader in e-commerce, cloud computing, digital streaming and AI.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and
voice-assisted devices.
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
Featured Review
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Frequently Asked Questions
What is the AIYA?
The A.I. Internship is an On Campus – 15 Days full of learning, it is conducted by Nanyang Technological University (NTU) & Amazon (AWS)
Who is organizing the academic internship?
It is conducted by:
- Nanyang Technological University (NTU), Singapore
- Amazon (AWS)
Where is AIYA conducted?
It is 15 days On Campus - internship programme, conducted at Nanyang Technological University (NTU), Singapore.
Is it an academic internship or a training programme?
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).
How will students benefit from this internship?
- 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 NTU and professionals from Amazon.
- 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.
Can you help me if I want to pursue higher studies at NTU?
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 Factsheet 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 enroll through our website and make the payment via a Debit/Credit card or Online Banking.
What are the entry requirements?
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.
Do I need to be studying Computer Science to attend this programme?
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.
Is the programme open to students from any school?
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!
Is accommodation provided while I am taking part in AIYA?
This is a fully-residential program. All students and visiting faculty will stay at the NTU dormitories in a single room, non-AC accommodation. NTU has a cafeteria which serves food from 16 countries: vegetarian and non-vegetarian options are available.
I wanted to enquire about the cost incurred in this programme. Kindly provide me the details for cost expenditure of this programme.
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.
Are the dates confirmed for the academic internship?
The academic internship schedule, date and time are subject to change based on the availability of professor(s) from NTU and professionals from Amazon (AWS). 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.
What is the selection criteria?
The selection criteria are as follows:
- Overall academic performance (grades) in current year or previous year
- 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.
What are the programme fee inclusions?
- Certificate of Completion from Nanyang Technological University (NTU)
- Certificate of Completion from Amazon (AWS)
- Individual Letter of Recommendations for top project group by NTU
What is not included in the programme fee?
- 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 Completion from Nanyang Technological University (NTU)
- Certificate of Completion from Amazon (AWS)
- Individual Letter of Recommendations for top project group by NTU
What are the requirements to earn all the programme completion documents?
Issuance of all certificates and the LoE will be at Corporate Gurukul’s discretion subject to:
- the participant’s performance
- completion of assignments and
- 90% attendance during the academic internship
When will I get the entitled documents?
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.
Where are the hands-on sessions conducted?
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).
Do I need my own laptop for the academic internship?
Laptop with the specifications mentioned in ACADEMIC INTERNSHIP PREREQUISITES is MANDATORY for all participants.
Do we visit Amazon office for the Amazon part of the curriculum?
No. The entire academic internship is delivered at NTU, Singapore.
Are we divided into groups for projects and assignments?
Yes, you will be assigned teams for project work and assignments. These teams typically consist of 4-5 members.
Can we choose our team 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.
How do we submit the projects/assignments?
All assignments and projects will be submitted on the Learning Management System, Acadly.
Are assignments given daily? By when do we submit them?
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.
How many projects do we do during the programme?
You are required to complete one project during the duration of the programme. This will be done in teams.
When does the project presentation happen?
The project presentations will be conducted post the NTU and Amazon sessions.
Are both NTU and Amazon sessions graded?
Yes, both NTU and Amazon sessions will be graded.
When are the MCQ sessions conducted?
The MCQ Quiz will be conducted every day during the afternoon session.
What if I get delayed in submissions?
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 an On Campus – 15 Days full of learning, it is conducted by Nanyang Technological University (NTU) & Amazon (AWS)
Who is organizing the academic internship?
It is conducted by:
- Nanyang Technological University (NTU), Singapore
- Amazon (AWS)
Where is AIYA conducted?
It is 15 days On Campus - internship programme, conducted at Nanyang Technological University (NTU), Singapore.
Is it an academic internship or a training programme?
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).
How will students benefit from this internship?
- 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 NTU and professionals from Amazon.
- 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.
Can you help me if I want to pursue higher studies at NTU?
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 Factsheet 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 enroll through our website and make the payment via a Debit/Credit card or Online Banking.
What are the entry requirements?
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.
Do I need to be studying Computer Science to attend this programme?
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.
Is the programme open to students from any school?
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!
Is accommodation provided while I am taking part in AIYA?
This is a fully-residential program. All students and visiting faculty will stay at the NTU dormitories in a single room, non-AC accommodation. NTU has a cafeteria which serves food from 16 countries: vegetarian and non-vegetarian options are available.
I wanted to enquire about the cost incurred in this programme. Kindly provide me the details for cost expenditure of this programme.
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.
Are the dates confirmed for the academic internship?
The academic internship schedule, date and time are subject to change based on the availability of professor(s) from NTU and professionals from Amazon (AWS). 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
What is the selection criteria?
The selection criteria are as follows:
- Overall academic performance (grades) in current year or previous year
- 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.
What are the programme fee inclusions?
- Certificate of Completion from Nanyang Technological University (NTU)
- Certificate of Completion from Amazon (AWS)
- Individual Letter of Recommendations for top project group by NTU
What is not included in the programme fee?
- 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 Completion from Nanyang Technological University (NTU)
- Certificate of Completion from Amazon (AWS)
- Individual Letter of Recommendations for top project group by NTU
What are the requirements to earn all the programme completion documents?
Issuance of all certificates and the LoE will be at Corporate Gurukul’s discretion subject to:
- the participant’s performance
- completion of assignments and
- 90% attendance during the academic internship
When will I get the entitled documents?
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.
Where are the hands-on sessions conducted?
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).
Do I need my own laptop for the academic internship?
Laptop with the specifications mentioned in ACADEMIC INTERNSHIP PREREQUISITES is MANDATORY for all participants.
Do we visit Amazon office for the Amazon part of the curriculum?
No. The entire academic internship is delivered at NTU, Singapore.
Are we divided into groups for projects and assignments?
Yes, you will be assigned teams for project work and assignments. These teams typically consist of 4-5 members.
Can we choose our team 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.
How do we submit the projects/assignments?
All assignments and projects will be submitted on the Learning Management System, Acadly.
Are assignments given daily? By when do we submit them?
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.
How many projects do we do during the programme?
You are required to complete one project during the duration of the programme. This will be done in teams.
When does the project presentation happen?
The project presentations will be conducted post the NTU and Amazon sessions.
Are both NTU and Amazon sessions graded?
Yes, both NTU and Amazon sessions will be graded.
When are the MCQ sessions conducted?
The MCQ Quiz will be conducted every day during the afternoon session.
What if I get delayed in submissions?
Any late submissions of project, assignments or quizzes beyond specified deadline will carry negative marks.