AI INTERNSHIP FOR YOUNG ACHIEVERS (AIYA) - LIVE Online

Starts: Nov 2021 and Dec 2021

Accepting Grade 8-12 Students

About the Internship

No coding knowledge? No problem!

No idea about AI? No problem!

 

AIYA combines LIVE learning and LIVE internship. It is a 12-week long programme designed for high school students in grades 8 through 12 to understand and apply the fundamental concepts of AI. Students understand the logic and math behind different models that enable chatbots, self-driving cars, image recognition and much more.

 

They are taught, guided and assessed by faculty from NUS and industry mentors from HPE. Our in-house certified AI scholars also conduct workshops for project guidance and any conceptual clarity that may be needed

 

Students also take up a social challenge and combine their problem-solving and AI knowledge to create a solution. At the end of the programme, they are assessed and certified by NUS and HPE for this project.

 

No prior coding or computing background is required! They use prebuilt code logic and online no-code/low-code tools.

 

 

At a Glance
Duration : 12 weeks
Grades : Grades 8 - 12
Academic Fee : SGD 2500
Programme Outcome : Transcript from NUS
Application Deadline : 15th April, 2021
Duration : 12 weeks
Learner Profile : Grades 8 - 12
Internship Fee :

SGD 1499

Application Deadline : Closing Soon!
Mode of Delivery : LIVE Online

*Apply for scholarships, EMIs and Offers

 

 

Enroll Now

Download Brochure

Download Brochure

The AIYA benefit

Learning Intervention

  Daily Schedule

Session 1 

(NUS)

Concepts

  • Introduction to Data Science
  • Statistical Thinking for Data Science
  • Machine Learning Tools & Library
  • Introduction to Ananconda and Jupyter (2020)
  • Introduction to Jupyter Notebook
  • Learn Python in 5 minutes

 

Hands-On

  • Python Examples
  • Hello World Exercise

Session 2

(NUS)

Concepts

  • Introduction to Machine Learning – Supervised,
  • Unsupervised and Reinforcement Learning
  • Examples -AI robots that learn to walk,
  • Robots that can adapt like animals
  • Linear Regression Model

 

Hands-On

  • Linear Regression Exercise

 

Assessment

  • Group assignment

Session 3

(NUS)

Concepts

  • Introduction to Decision Trees
  • Decision Tree’s Learning Algorithms
  • Optimal Attribute and Entropy
  • Calculating Information Gain
  • Ensembles of Decision
  • Overfitting and Error Performance

 

Hands-On

  • Iris Decision Tree Exercise

 

Assessment

  • Group assignment

Session 4

(NUS)

Concepts

  • Support Vector Machine
  • Linear Separator
  • Maximum Marginal Classifier
  • Linear SVMs Mathematically
  • Soft Margin Classification
  • Non-Linear SVMs
  • “Kernel Trick” and Kernel Functions

 

Hands-On

  • Scikit Learn SVM Exercise

 

Assessment

  • Group assignment
  • Mock Quiz

Session 5

(NUS)

Concepts

  • Neural Networks and Deep Learning
  • Learning Inspired by the Brain
  • Deep Fakes Videos via GANs
  • Adversarial Attacks on AI

 

Hands-On

  • Neural Network-MLP Exercise

 

Assessment

  • Final Quiz

Session 6

(NUS)

Concepts

  • Neural Networks and Deep Learning
  • Learning Inspired by the Brain
  • Deep Fakes Videos via GANs
  • Adversarial Attacks on AI

 

Hands-On

  • Neural Network-MLP Exercise

 

Assessment

  • Final Quiz

Session 7

(NUS)

Concepts

  • Introduction & Applications of Deep Learning (DL) Algorithms - NLP & CV

 

Hands-On

  • NLP Exercise
  • CV Exercise

 

Assessment

  • Quiz 

 

Project Progress Update

Session 8

(HPE)

Concepts

  • Machine Learning Recap

 

Hands-On

  • Machine Learning with Coloured Images
  • TensorFlow Playground, Auto Draw

 

Assessment

  • Quiz 

 

Project Progress Update

Session 9

(HPE)

Hands-On

  • Building a Chatbot

 

Assessment

  • Quiz 

 

Project Progress Update

Session 10

(HPE)

Hands-On

  • Handwritten Digit Classification with DL and CNN
  • Image Classification (BatMan V/s SuperMan)

 

Assessment

  • Quiz 

 

Project Progress Update

Session 11

(HPE)

Hands-On

  • OCR (Optical Code Recognition)
  • Sentiment Analysis on IMDb Movie Reviews

 

Assessment

  • Quiz 

 

Project Progress Update

Session 12

(HPE)

Hands-On

  • Applications of Ethical AI

 

Assessment

  • Final Quiz 

 

Project Progress Update

Session 13

Project Preparation and Consultation with Mentors

Session 14

Mock Presentations with Mentors

Session 15

Project Evaluation

Assessment Criteria

 

NUS Assessment Component Weightage
Group Assignments 20%
End Term assessment (MCQ) 40%
Project Assessment 40%
HPE Assessment Component Weightage
Continuous assessment (MCQ Quizzes) 20%
End Term assessment (MCQ) 40%
Project Assessment 40%

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

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

3. Individual Letter of Recommendations for top project group from NUS and HPE

Pedagogy
Learning Goals
Schedule
  Daily Schedule

Session 1 

(NUS)

Concepts

  • Introduction to Data Science
  • Statistical Thinking for Data Science
  • Machine Learning Tools & Library
  • Introduction to Ananconda and Jupyter (2020)
  • Introduction to Jupyter Notebook
  • Learn Python in 5 minutes

 

Hands-On

  • Python Examples
  • Hello World Exercise

Session 2

(NUS)

Concepts

  • Introduction to Machine Learning – Supervised,
  • Unsupervised and Reinforcement Learning
  • Examples -AI robots that learn to walk,
  • Robots that can adapt like animals
  • Linear Regression Model

 

Hands-On

  • Linear Regression Exercise

 

Assessment

  • Group assignment

Session 3

(NUS)

Concepts

  • Introduction to Decision Trees
  • Decision Tree’s Learning Algorithms
  • Optimal Attribute and Entropy
  • Calculating Information Gain
  • Ensembles of Decision
  • Overfitting and Error Performance

 

Hands-On

  • Iris Decision Tree Exercise

 

Assessment

  • Group assignment

Session 4

(NUS)

Concepts

  • Support Vector Machine
  • Linear Separator
  • Maximum Marginal Classifier
  • Linear SVMs Mathematically
  • Soft Margin Classification
  • Non-Linear SVMs
  • “Kernel Trick” and Kernel Functions

 

Hands-On

  • Scikit Learn SVM Exercise

 

Assessment

  • Group assignment
  • Mock Quiz

Session 5

(NUS)

Concepts

  • Neural Networks and Deep Learning
  • Learning Inspired by the Brain
  • Deep Fakes Videos via GANs
  • Adversarial Attacks on AI

 

Hands-On

  • Neural Network-MLP Exercise

 

Assessment

  • Final Quiz

Session 6

(NUS)

Concepts

  • Neural Networks and Deep Learning
  • Learning Inspired by the Brain
  • Deep Fakes Videos via GANs
  • Adversarial Attacks on AI

 

Hands-On

  • Neural Network-MLP Exercise

 

Assessment

  • Final Quiz

Session 7

(NUS)

Concepts

  • Introduction & Applications of Deep Learning (DL) Algorithms - NLP & CV

 

Hands-On

  • NLP Exercise
  • CV Exercise

 

Assessment

  • Quiz 

 

Project Progress Update

Session 8

(HPE)

Concepts

  • Machine Learning Recap

 

Hands-On

  • Machine Learning with Coloured Images
  • TensorFlow Playground, Auto Draw

 

Assessment

  • Quiz 

 

Project Progress Update

Session 9

(HPE)

Hands-On

  • Building a Chatbot

 

Assessment

  • Quiz 

 

Project Progress Update

Session 10

(HPE)

Hands-On

  • Handwritten Digit Classification with DL and CNN
  • Image Classification (BatMan V/s SuperMan)

 

Assessment

  • Quiz 

 

Project Progress Update

Session 11

(HPE)

Hands-On

  • OCR (Optical Code Recognition)
  • Sentiment Analysis on IMDb Movie Reviews

 

Assessment

  • Quiz 

 

Project Progress Update

Session 12

(HPE)

Hands-On

  • Applications of Ethical AI

 

Assessment

  • Final Quiz 

 

Project Progress Update

Session 13

Project Preparation and Consultation with Mentors

Session 14

Mock Presentations with Mentors

Session 15

Project Evaluation

Assessment

Assessment Criteria

 

NUS Assessment Component Weightage
Group Assignments 20%
End Term assessment (MCQ) 40%
Project Assessment 40%
HPE Assessment Component Weightage
Continuous assessment (MCQ Quizzes) 20%
End Term assessment (MCQ) 40%
Project Assessment 40%
Programme Completion Documents

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

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

3. Individual Letter of Recommendations for top project group from NUS and HPE

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

Prof. Mehul Motani

Dr. Mehul Motani

Associate Professor

Department of Electrical and Computer Engineering
National University of Singapore

Mehul Motani received the B.E. degree from Cooper Union, New York, NY, the M.S. degree from Syracuse University, Syracuse, NY, and a Ph.D. degree from Cornell University, Ithaca, NY, all in Electrical and Computer Engineering.

Dr. Motani is currently an Associate Professor in the Electrical and Computer Engineering Department at the National University of Singapore (NUS) and a Visiting Research Collaborator at Princeton University, USA. He is also a member of the NUS Institute for Data Science, the N.1 Institute for Health, and the NUS Smart Systems Institute. Previously, he was a Visiting Fellow at Princeton University. He was also a Research Scientist at the Institute for Infocomm Research in Singapore, for three years, and a Systems Engineer at Lockheed Martin in Syracuse, NY for over four years. His research interests include information theory and coding, machine learning, biomedical informatics, wireless and sensor networks, and the Internet-of-Things.

Dr. Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. He is a Fellow of the IEEE and has served as the Secretary of the IEEE Information Theory Society Board of Governors. He has served as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications. He has also served on the Organizing and Technical Program Committees of numerous IEEE and ACM conferences.

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

Prof. Mehul Motani

Dr. Mehul Motani

Associate Professor

Department of Electrical and Computer Engineering
National University of Singapore

Mehul Motani received the B.E. degree from Cooper Union, New York, NY, the M.S. degree from Syracuse University, Syracuse, NY, and a Ph.D. degree from Cornell University, Ithaca, NY, all in Electrical and Computer Engineering.

Dr. Motani is currently an Associate Professor in the Electrical and Computer Engineering Department at the National University of Singapore (NUS) and a Visiting Research Collaborator at Princeton University, USA. He is also a member of the NUS Institute for Data Science, the N.1 Institute for Health, and the NUS Smart Systems Institute. Previously, he was a Visiting Fellow at Princeton University. He was also a Research Scientist at the Institute for Infocomm Research in Singapore, for three years, and a Systems Engineer at Lockheed Martin in Syracuse, NY for over four years. His research interests include information theory and coding, machine learning, biomedical informatics, wireless and sensor networks, and the Internet-of-Things.

Dr. Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. He is a Fellow of the IEEE and has served as the Secretary of the IEEE Information Theory Society Board of Governors. He has served as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications. He has also served on the Organizing and Technical Program Committees of numerous IEEE and ACM conferences.

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 (AIYA) is a 12 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.

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

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

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

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

  • They will understand, experience and apply fundamental AI concepts.
  • They will appreciate the workings behind real life AI research and applications 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.

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.

This programme is open to all students from grade 8-12. For further details check the 'Admissions' section on this webpage.

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

Yes, students studying 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!

The academic internship is conducted in June-Aug.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.

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.

  • 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

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

  • Certificate of Completion from NUS
  • Certificate of Completion from HPE
  • Individual Letter of Recommendations for top project group from NUS and HPE

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

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

The e-certificates will be issued to you after 45 working days post-completion of the internship.

The hands-on sessions are conducted Online via Zoom Video Communication

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

No. The entire academic internship is delivered online.

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

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

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

Assignments will be given 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.

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

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

Yes, both HPE and NUS sessions will be graded.

The MCQ Quiz will be conducted during the session.

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 (AIYA) is a 12 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.

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

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

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

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

  • They will understand, experience and apply fundamental AI concepts.
  • They will appreciate the workings behind real life AI research and applications 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.

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.

This programme is open to all students from grade 8-12. For further details check the 'Admissions' section on this webpage.

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

Yes, students studying 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!

The academic internship is conducted in June-Aug.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

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.

  • 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

Programme Completion Documents

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

  • Certificate of Completion from NUS
  • Certificate of Completion from HPE
  • Individual Letter of Recommendations for top project group from NUS and HPE

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

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

The e-certificates will be issued to you after 45 working days post-completion of the internship.

The hands-on sessions are conducted Online via Zoom Video Communication

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

No. The entire academic internship is delivered online.

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

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

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

Assignments will be given 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.

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

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

Yes, both HPE and NUS sessions will be graded.

The MCQ Quiz will be conducted during the session.

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