AI INTERNSHIP FOR YOUNG ACHIEVERS (AIYA) - LIVE Online

Starts: December 2022

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 Nanyang Technological University (NTU) and industry mentors from Hewlett Packard Enterprise (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 NTU 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
Programme Fee : SGD 1599
Programme Outcome : Certification from NTU & HPE
   

 

 

Register Now 

Download Factsheet

Download Brochure

The AIYA benefit

Learning Intervention

  Concepts Hands-On

Session 1 

(NTU)

Introduction to Artificial Intelligence

  • What is Artificial Intelligence
  • History and State-of-Art Applications
  • Machine Learning Tools & Applications
  • Principles of problem solving and the Search for solution
  • Introduction to Anaconda & Jupyter (2020), Jupyter Notebook
  • Learn Python in 5 minutes
  • Python Examples
  • Hello World Exercise
  •  Project Group Formation and Allocation of Projects

Session 2

(NTU)

Machine Learning Fundamentals

  • Supervised, Unsupervised and Reinforcement Learning
  • Prediction & Classification
  • Components of Performance Evaluation
  • Linear Regression Model
  • Linear Regression Exercise
  • Case Study: AI robots that learn to walk
  • Case Study: Robots that can adapt like animals
  • Project Guidance & Feedback

Session 3

(NTU)

Introduction to Decision Trees

  • Decision Tree’s Learning Algorithms
  • Optimal Attribute & Entropy
  • Calculating Information Gain
  • Ensembles of Decision
  • Overfitting & Error Performance
  • Iris Decision Tree Exercise
  • Project Guidance & Feedback

Session 4

(NTU)

Support Vector Machine

  • Linear Separator
  • Maximum Marginal Classifier
  • Linear SVMs Mathematically
  • Soft Margin Classifier
  • Non-Linear SVMs
  • Scikit Learn SVM Exercise
  • Project Guidance & Feedback

Session 5

(NTU)

Neural Networks & Deep Learning

  • Learning Inspired by the Brain
  • Notation
  • Network structures
  • Perceptrons
  • Multilayer Feed-Forward Networks
  • Back-propagation learning
  • Deep Fakes Videos via GANs
  • Convolution
  • Deep Learning
  • Deep Learning Exercise
  • Project Guidance & Feedback

Session 6

(HPE)

  • Applications of Machine Learning (ML) Algorithms
  • Understanding ML Libraries - Scikit Learn/Keras
  • Demonstration of Auto ML on Microsoft Azure
  • Project Briefing and Group Formation

Session 7

(HPE)

  • Introduction & Applications of Deep Learning (DL) Algorithms - NLP & CV
  • NLP Exercise
  • CV Exercise
  • Project Progress Update

Session 8

(HPE)

  • Machine Learning Recap
  • Machine Learning with Coloured Images
  • TensorFlow Playground, Auto Draw
  • Project Progress Update

Session 9

(HPE)

 
  • Building a Chatbot
  • Project Progress Update

Session 10

(HPE)

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

Session 11

(HPE)

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

Session 12

(HPE)

 
  • Applications of Ethical AI
  • Project Progress Update

Session 13 

CG Mentors

Project Preparation and Consultation 

Session 14 

CG Mentors

Mock Presentations 

Session 15

NTU + HPE

Project Evaluation

Assessment Criteria

 

NTU 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 Nanyang Technological University(NTU)

3. Individual Letter of Recommendation for top project group from NTU and HPE

 

 

testimonial
testimonial

DISCLAIMER: ABOVE DOCUMENT IS INDICATIVE AND SUBJECT TO MINOR CHANGES BASED ON PARTNER DISCRETION.

 

Pedagogy
Learning Goals
Schedule
  Concepts Hands-On

Session 1 

(NTU)

Introduction to Artificial Intelligence

  • What is Artificial Intelligence
  • History and State-of-Art Applications
  • Machine Learning Tools & Applications
  • Principles of problem solving and the Search for solution
  • Introduction to Anaconda & Jupyter (2020), Jupyter Notebook
  • Learn Python in 5 minutes
  • Python Examples
  • Hello World Exercise
  •  Project Group Formation and Allocation of Projects

Session 2

(NTU)

Machine Learning Fundamentals

  • Supervised, Unsupervised and Reinforcement Learning
  • Prediction & Classification
  • Components of Performance Evaluation
  • Linear Regression Model
  • Linear Regression Exercise
  • Case Study: AI robots that learn to walk
  • Case Study: Robots that can adapt like animals
  • Project Guidance & Feedback

Session 3

(NTU)

Introduction to Decision Trees

  • Decision Tree’s Learning Algorithms
  • Optimal Attribute & Entropy
  • Calculating Information Gain
  • Ensembles of Decision
  • Overfitting & Error Performance
  • Iris Decision Tree Exercise
  • Project Guidance & Feedback

Session 4

(NTU)

Support Vector Machine

  • Linear Separator
  • Maximum Marginal Classifier
  • Linear SVMs Mathematically
  • Soft Margin Classifier
  • Non-Linear SVMs
  • Scikit Learn SVM Exercise
  • Project Guidance & Feedback

Session 5

(NTU)

Neural Networks & Deep Learning

  • Learning Inspired by the Brain
  • Notation
  • Network structures
  • Perceptrons
  • Multilayer Feed-Forward Networks
  • Back-propagation learning
  • Deep Fakes Videos via GANs
  • Convolution
  • Deep Learning
  • Deep Learning Exercise
  • Project Guidance & Feedback

Session 6

(HPE)

  • Applications of Machine Learning (ML) Algorithms
  • Understanding ML Libraries - Scikit Learn/Keras
  • Demonstration of Auto ML on Microsoft Azure
  • Project Briefing and Group Formation

Session 7

(HPE)

  • Introduction & Applications of Deep Learning (DL) Algorithms - NLP & CV
  • NLP Exercise
  • CV Exercise
  • Project Progress Update

Session 8

(HPE)

  • Machine Learning Recap
  • Machine Learning with Coloured Images
  • TensorFlow Playground, Auto Draw
  • Project Progress Update

Session 9

(HPE)

 
  • Building a Chatbot
  • Project Progress Update

Session 10

(HPE)

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

Session 11

(HPE)

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

Session 12

(HPE)

 
  • Applications of Ethical AI
  • Project Progress Update

Session 13 

CG Mentors

Project Preparation and Consultation 

Session 14 

CG Mentors

Mock Presentations 

Session 15

NTU + HPE

Project Evaluation

Assessment

Assessment Criteria

 

NTU 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 Nanyang Technological University(NTU)

3. Individual Letter of Recommendation for top project group from NTU and HPE

 

 

testimonial
testimonial

DISCLAIMER: ABOVE DOCUMENT IS INDICATIVE AND SUBJECT TO MINOR CHANGES BASED ON PARTNER DISCRETION.

 

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

Nanyang Technological University (NTU)

A research-intensive public university, Nanyang Technological University (NTU), Singapore has 33,000 undergraduate and postgraduate students in the colleges of Engineering, Business, Science, and Humanities, Arts and Social Sciences, and its Graduate College. 

NTU is consistently ranked within the top 20 universities in the world according to most rankings, and is currently ranked 19th globally in the QS World University Rankings 2022-2023. In 2019, NTU was placed 11th globally in the QS World University Rankings. It was also ranked the world’s best young university (under 50 years old) by QS for the sixth consecutive year in 2019. In addition, NTU was named the world’s fastest rising young university by Times Higher Education in 2015.

Faculty Profile

Dr. Kwoh Chee Keong

Dr. Kwoh Chee Keong

Deputy Executive Director

Centre for Professional and Continuing Education (PaCE@NTU)
Nanyang Technological University

Dr. Kwoh Chee Keong is currently in the School of Computer Science and Engineering since 1993. He is also the Executive Deputy Director of Centre for Professional and Continuing Education, PaCE@NTU.

Dr. Kwoh's main interests lie in the desire to making sense of big heterogeneous data by applying various AI, Machine Learning and Data Analytics methodologies for real application in engineering, life science, medical and manufacturing. These include: Data Analytics and Mining, Soft Computing, Artificial Intelligence, Machine Learning, and Statistical Inference, Learning with Unlabeled Data, Meta and Ensemble learning.

He has done significant research work his research areas applying various Machine Learning and Data Analytics methodologies and published many quality international conferences and journal papers.

Dr. Yong Ee Hou

Dr. Yong Ee Hou

Assistant Professor

Nanyang Technological University

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

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.

At HPE Education, it is believed that technology’s greatest promise lies in its potential for positive change. 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. 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.
 

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.

Nanyang Technological University (NTU)

A research-intensive public university, Nanyang Technological University (NTU), Singapore has 33,000 undergraduate and postgraduate students in the colleges of Engineering, Business, Science, and Humanities, Arts and Social Sciences, and its Graduate College. 

NTU is consistently ranked within the top 20 universities in the world according to most rankings, and is currently ranked 19th globally in the QS World University Rankings 2022-2023. In 2019, NTU was placed 11th globally in the QS World University Rankings. It was also ranked the world’s best young university (under 50 years old) by QS for the sixth consecutive year in 2019. In addition, NTU was named the world’s fastest rising young university by Times Higher Education in 2015.

Faculty Profile

Dr. Kwoh Chee Keong

Dr. Kwoh Chee Keong

Deputy Executive Director

Centre for Professional and Continuing Education (PaCE@NTU)
Nanyang Technological University

Dr. Kwoh Chee Keong is currently in the School of Computer Science and Engineering since 1993. He is also the Executive Deputy Director of Centre for Professional and Continuing Education, PaCE@NTU.

Dr. Kwoh's main interests lie in the desire to making sense of big heterogeneous data by applying various AI, Machine Learning and Data Analytics methodologies for real application in engineering, life science, medical and manufacturing. These include: Data Analytics and Mining, Soft Computing, Artificial Intelligence, Machine Learning, and Statistical Inference, Learning with Unlabeled Data, Meta and Ensemble learning.

He has done significant research work his research areas applying various Machine Learning and Data Analytics methodologies and published many quality international conferences and journal papers.

Dr. Yong Ee Hou

Dr. Yong Ee Hou

Assistant Professor

Nanyang Technological University

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

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.

At HPE Education, it is believed that technology’s greatest promise lies in its potential for positive change. 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. 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.
 

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?

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.

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

  • Nanyang Technological University (NTU), 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).

  • It is a low code/no code internship
  • Students understand the logic that powers the complex AI algorithms instead of straight away diving into code.
  • The faculty is from #12 university and industry AI frontiers. They have at least 5+ years of experience in AI teaching and research.
  • Students get certified by NTU, Singapore and HPE. They can even earn a Letter of Recommendation (LoR) if they bag the best project title!
  • AIYA is a popular choice for students from India, Middle East and Southeast Asia. Students collaborate in teams with a global audience.

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 Fact sheet 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 schedule, date and time are subject to change based on the availability of professor(s) from NTU 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 NTU, Singapore
  • Curriculum design, training and assignments by certified professional(s) from HPE Education
  • ‘Certificate of Completion’ by NTU
  • ‘Certificate of Completion’ by Hewlett Packard Enterprise Education
  • Individual Letter of Recommendations for top project group from both NTU and HPE

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

Please refer to the Programme Completion Documents section above.

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 NTU sessions.

Yes, both HPE and NTU 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?

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.

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

  • Nanyang Technological University (NTU), 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).

  • It is a low code/no code internship
  • Students understand the logic that powers the complex AI algorithms instead of straight away diving into code.
  • The faculty is from #12 university and industry AI frontiers. They have at least 5+ years of experience in AI teaching and research.
  • Students get certified by NTU, Singapore and HPE. They can even earn a Letter of Recommendation (LoR) if they bag the best project title!
  • AIYA is a popular choice for students from India, Middle East and Southeast Asia. Students collaborate in teams with a global audience.

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 Fact sheet 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 schedule, date and time are subject to change based on the availability of professor(s) from NTU 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 NTU, Singapore
  • Curriculum design, training and assignments by certified professional(s) from HPE Education
  • ‘Certificate of Completion’ by NTU
  • ‘Certificate of Completion’ by Hewlett Packard Enterprise Education
  • Individual Letter of Recommendations for top project group from both NTU and HPE

Programme Completion Documents

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

Please refer to the Programme Completion Documents section above.

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 NTU sessions.

Yes, both HPE and NTU 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.