What is AIYS?
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 @ NUS and professionals @ HPE.
Classroom Sessions
- Introduction to AI
- AI vs Machine Learning vs Deep Learning
- Importance of Data & Business Understanding for Analysis
- Introduction to Python
- Machine Learning (ML) Algorithms
- Deep Learning (DL) Algorithms
Hands-on Sessions
- Botany: Identifying Flower Species using ML
- Data Science: TensorFlow Playground
- Arts: Handwritten Digit Classification with DL and CNN
- Media & Entertainment: Sentiment Analysis on IMDb Movie Reviews
- Medicine: X-ray Image Classification
- Finance & Economics: Stock Market Prediction
Lab Visits
- AI in Action across domains @ HPE
- Engineering & Technology: NUSmart Driverless Shuttle @ NUS
- Industry 4.0 and Future of AI in Asia @ Singapore Polytechnic Data Science & Analytics Center
- Innovation in Transportation & Logistics using AI @ Grab + NUS AI Lab
University Admission Guidance
- Identify Career Interests
- What do Universities Look for in a Student?
- Building a Strong Profile for Target Universities
- Financial Aid and Scholarships
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. Terminologyb. 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 interestb. 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 Learningb. 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? 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 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 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 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
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 @ NUS and professionals @ HPE.
Classroom Sessions
- Introduction to AI
- AI vs Machine Learning vs Deep Learning
- Importance of Data & Business Understanding for Analysis
- Introduction to Python
- Machine Learning (ML) Algorithms
- Deep Learning (DL) Algorithms
Hands-on Sessions
- Botany: Identifying Flower Species using ML
- Data Science: TensorFlow Playground
- Arts: Handwritten Digit Classification with DL and CNN
- Media & Entertainment: Sentiment Analysis on IMDb Movie Reviews
- Medicine: X-ray Image Classification
- Finance & Economics: Stock Market Prediction
Lab Visits
- AI in Action across domains @ HPE
- Engineering & Technology: NUSmart Driverless Shuttle @ NUS
- Industry 4.0 and Future of AI in Asia @ Singapore Polytechnic Data Science & Analytics Center
- Innovation in Transportation & Logistics using AI @ Grab + NUS AI Lab
University Admission Guidance
- Identify Career Interests
- What do Universities Look for in a Student?
- Building a Strong Profile for Target Universities
- Financial Aid and Scholarships
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. Terminologyb. 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 interestb. 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 Learningb. 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? 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 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 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 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
Admissions
Who should attend?
Dates and Deadlines for Admission
Requirement for Admissions
Class Profile
Programme Fee
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.
Featured Review
Success Stories
Harsh Tekriwal
Alumni (University Immersion Programme)
Tanmay Agarwal
SRM Chennai
Ish Dutt
Alumni, (University Immersion Programme)
-
Abhishek Chandramouli
VIT Vellore
Sumedh Rathi
Alumni (Research and Innovation Programme)
Anubha Kabra
Delhi Technological University
Naquiya Barwaniwala
Alumni (Research and Innovation Programme)
Vignesh Prabhakar
SRM Univ (Chennai)
Hamza Ali Rizvi
Punjab Engineering College
Anushree Gupta
Alumni (Research and Innovation Programme)
Aditya Desai
BITS (Hyderabad)
Sartaj Singh Sandhu
BITS Pilani (Goa)
Pratyusha Nyati
Alumni (Research and Innovation Programme)
Apurva Mittal
BITS Pilani
Shivam Mulchandani
Alumni (Research and Innovation Programme)
Jash Kamdar
BITS Pilani (Goa)Frequently Asked Questions
What is the A.I. bootcamp?
The A.I. Bootcamp 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).
Who is organizing the academic internship?
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
Where is AIYS conducted?
It is a fully residential academic internship conducted at NUS, 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 bootcamp?
- 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.
Can you help me if I want to pursue higher studies at NUS?
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.
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 bootcamp.
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 whilst I am taking part in A.I. Bootcamp?
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.
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 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.
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?
- 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
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 Participation from NUS
- Certificate of Participation from HPE
- Course Transcript from NUS
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 HPE office for the HPE Education part of the curriculum?
No. The entire academic internship is delivered at NUS, 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 HPE and NUS sessions.
Are both HPE and NUS sessions graded?
Yes, both HPE and NUS 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 AIYS
What is the A.I. bootcamp?
The A.I. Bootcamp 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).
Who is organizing the academic internship?
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
Where is AIYS conducted?
It is a fully residential academic internship conducted at NUS, 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 bootcamp?
- 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.
Can you help me if I want to pursue higher studies at NUS?
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 AIYS
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.
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 bootcamp.
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 whilst I am taking part in A.I. Bootcamp?
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.
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 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
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?
- 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
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 Participation from NUS
- Certificate of Participation from HPE
- Course Transcript from NUS
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 HPE office for the HPE Education part of the curriculum?
No. The entire academic internship is delivered at NUS, 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 HPE and NUS sessions.
Are both HPE and NUS sessions graded?
Yes, both HPE and NUS 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.
