AI INTERNSHIP FOR YOUNG ACHIEVERS (AIYA) - LIVE Online

Start Date: April 24th, 2021 | June 26th, 2021

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) 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$ 1999

S$ 1299 (Introductory Offer)

Application Deadline : 15th April, 2021
Mode of Delivery : LIVE Online

Enroll Now

Download Brochure

Enroll Now

Download Brochure

Learning Intervention

1 pm - 4 pm Daily Schedule

Session 1 

(NUS)

Artificial Intelligence Introduction

  • Terminology
  • Brief History of Artificial Intelligence
  • AI Topics and Techniques
  • Current Use of AI
  • New Frontiers of AI

 

Quiz

Session 2

(NUS)

Admissions Expert Session

Admission Process @ world top 15 universities

  • Identify my career interest
  • What are my target universities looking for?
  • How to crack my target universities?
  • Financial aids and scholarships

Session 3

(NUS)

AI vs Machine Learning vs Deep Learning

Types of Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
     
  • Admission Expert Session

 

Quiz

Session 4

(NUS)

Introduction to Python - List, Tuples, Dictionaries, etc.

Introduction to ML Libraries:

  • Data Manipulation: Pandas
  • Mathematical Operations: Numpy
  • Data Visualization: Matplotlib, Seaborn

 

Quiz

Session 5

(NUS)

Data Analytics

  • What it is?
  • How we gather data?
  • How do we process/clean data?
  • Why do we analyze data?
  • Industry Case Studies: FB, Google etc.
  • Types of Data Analytics. 
    • Predictive
    • Prescriptive
    • Descriptive

 

Quiz 

Session 6

(NUS)

Machine Learning Algorithms

  • Regression
  • Classification
  • Clustering

 

Quiz 

Session 7

(NUS)

Introduction

  • Understanding Natural Language Processing + Case Study
  • Understanding Computer Vision + Case Study

 

Project Briefing

Final Quiz 

Session 8

(HPE)

Applications of Machine Learning (ML) Algorithms

Understanding ML Libraries  - Scikit-Learn/Keras

 

Quiz

Session 9

(HPE)

Hands-on Session

  • Machine Learning with Iris Flower Dataset
  • TensorFlow Playground

 

Quiz

Session 10

(HPE)

Introduction to Deep Learning (DL) Algorithms

 

Quiz

Session 11

(HPE)

Hands-on Session

  • Handwritten Digit Classification with DL and CNN 
  • Image Classification

 

Quiz 

Session 12

(HPE)

Hands-on Session

  • X-ray Image Classification
  • Sentiment Analysis on IMDb Movie Reviews

 

Quiz

Session 13

(HPE)

AI Ethics and Applications

Final Quiz

Session 14

Project Preparation and Consultation with Mentors

Session 15

Mock Presentations with Mentors

Session 16

Project Evaluation

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
1 pm - 4 pm Daily Schedule

Session 1 

(NUS)

Artificial Intelligence Introduction

  • Terminology
  • Brief History of Artificial Intelligence
  • AI Topics and Techniques
  • Current Use of AI
  • New Frontiers of AI

 

Quiz

Session 2

(NUS)

Admissions Expert Session

Admission Process @ world top 15 universities

  • Identify my career interest
  • What are my target universities looking for?
  • How to crack my target universities?
  • Financial aids and scholarships

Session 3

(NUS)

AI vs Machine Learning vs Deep Learning

Types of Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
     
  • Admission Expert Session

 

Quiz

Session 4

(NUS)

Introduction to Python - List, Tuples, Dictionaries, etc.

Introduction to ML Libraries:

  • Data Manipulation: Pandas
  • Mathematical Operations: Numpy
  • Data Visualization: Matplotlib, Seaborn

 

Quiz

Session 5

(NUS)

Data Analytics

  • What it is?
  • How we gather data?
  • How do we process/clean data?
  • Why do we analyze data?
  • Industry Case Studies: FB, Google etc.
  • Types of Data Analytics. 
    • Predictive
    • Prescriptive
    • Descriptive

 

Quiz 

Session 6

(NUS)

Machine Learning Algorithms

  • Regression
  • Classification
  • Clustering

 

Quiz 

Session 7

(NUS)

Introduction

  • Understanding Natural Language Processing + Case Study
  • Understanding Computer Vision + Case Study

 

Project Briefing

Final Quiz 

Session 8

(HPE)

Applications of Machine Learning (ML) Algorithms

Understanding ML Libraries  - Scikit-Learn/Keras

 

Quiz

Session 9

(HPE)

Hands-on Session

  • Machine Learning with Iris Flower Dataset
  • TensorFlow Playground

 

Quiz

Session 10

(HPE)

Introduction to Deep Learning (DL) Algorithms

 

Quiz

Session 11

(HPE)

Hands-on Session

  • Handwritten Digit Classification with DL and CNN 
  • Image Classification

 

Quiz 

Session 12

(HPE)

Hands-on Session

  • X-ray Image Classification
  • Sentiment Analysis on IMDb Movie Reviews

 

Quiz

Session 13

(HPE)

AI Ethics and Applications

Final Quiz

Session 14

Project Preparation and Consultation with Mentors

Session 15

Mock Presentations with Mentors

Session 16

Project Evaluation

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 Internship?

The LIVE Online AI Internship for Young Achievers (AIYS) is a 8 week programme 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 Online via Zoom Video Communication.

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 AIYA conducted?

It is a LIVE online academic internship conducted via Zoom Video Communication

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 in industry.
  • 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.
  • They will develop a strong profile for international university admissions.

Can Corporate Gurukul help students who want to pursue higher studies at NUS?

Our faculties and 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?

The process of application is given in the brochure which you can download via the website. Upon filling the application form on website, 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 programme is open to all students from grade 8-12. For further details check the 'Admissions' section on this webpage.

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

Are the dates confirmed for the academic internship?

The academic internship is conducted in April-May.The 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?

All applications are scrutinized on the basis of:

  1. Overall academic performance (grades) in current year or previous year
  2. Career Goals – Should be aligned to solving business or social challenges problems using AI

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

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:

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

When will I get the entitled documents?

The certificates will be awarded 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 Online via Zoom Video Communication

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 online.

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 after every session 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 during the 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 Internship?

The LIVE Online AI Internship for Young Achievers (AIYS) is a 8 week programme 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 Online via Zoom Video Communication.

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 AIYA conducted?

It is a LIVE online academic internship conducted via Zoom Video Communication

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 in industry.
  • 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.
  • They will develop a strong profile for international university admissions.

Can Corporate Gurukul help students who want to pursue higher studies at NUS?

Our faculties and 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?

The process of application is given in the brochure which you can download via the website. Upon filling the application form on website, 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 programme is open to all students from grade 8-12. For further details check the 'Admissions' section on this webpage.

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

Are the dates confirmed for the academic internship?

The academic internship is conducted in April-May.The 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?

All applications are scrutinized on the basis of:

  1. Overall academic performance (grades) in current year or previous year
  2. Career Goals – Should be aligned to solving business or social challenges problems using AI

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

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:

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

When will I get the entitled documents?

The certificates will be awarded 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 Online via Zoom Video Communication

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 online.

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 after every session 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 during the session.

What if I get delayed in submissions?

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