AI-II: AI for Intelligent Innovators

Start Date: 3rd October, 2020

About the Internship

The virtual online internship is conducted by #11 university, National University of Singapore. It has been designed to empower you with knowledge on the immense potential and possibilities of AI as a tool in Business, Humanities, Medical Science, Technology, Research, Arts, Finance and other fields of study.

This programme introduces participants to the latest technologies in artificial intelligence (AI) and machine learning (ML). At the completion of the course, students will have the knowledge on the fundamentals of AI including the various types of machine learning algorithms. They will also acquire skills and hands-on experience in applying AI and ML on real-world data using the Internet-of-Things as an example application.

You will be empowered to unleash your potential, excel and be the best version of you!

At a Glance
Duration : 8 weeks
Learner Profile : Grade 7-12 students
Internship Fee (Inaugural Offer) : SGD 1249
Application Deadline : 25th September, 2020
Duration : 8 Weeks
Learner Profile : Grade 7-12 students
Internship Fee (Inaugural Offer) : SGD 1249
Application Deadline : 25th September 2020
Mode of Delivery : Online LIVE sessions
Download Brochure

Learning Intervention

Introduction to AI & ML Introduction to Neural Networks & Deep Learning Real-world application using AI and big data
  • Introduction to AI & Big Data.
  • Compare and Contrast the various types of ML algorithms.
  • Describe the principles behind various ML algorithms.
  • Fundamental ideas behind Neural Networks and Deep Learning
  • Implement supervised learning algorithms using available tools and libraries.
  • Exploring Machine Learning and AI in the real world
  • Case Studies/Discussion about ML/AI in the real world
Week 1

AI and Big Data

  • Introduction to Artificial Intelligence
  • Introduction to Big Data
  • Statistical Thinking
Week 2

Artificial Intelligence & Machine Learning

  • Introduction to Machine Learning
  • Applications of AI and ML
  • Open Source ML Tools & Libraries
Week 3

Machine Learning Algorithms

  • Overview of ML Algorithms
    • Types of algorithms
    • Implementing ML Algorithms
  • Using ML Tools & Libraries
Week 4

Neural Networks and Deep Learning

  • Introduction to Neural Networks & Deep Learning
  • Using ML Tools & Libraries
Week 5

Real World Machine Learning and AI

  • Exploring Machine Learning and AI in the real world
    • Case studies about ML/AI in the real world
    • Discussion on ideas in use of ML/AI
Week 6
  • Project Work - Crafting a plan that brings ideas to life
Week 7
  • Project Work - Crafting a plan that brings ideas to life
Week 8

Main Project and Final Presentation

  • Practical ML Project Work
  • Final Project Presentation

Note:

  1. The content and sequence of the programme may undergo minor changes to cater to the profile of the registered participants.
  2. Readings and online videos for viewing will be assigned each week.

Assessment Criteria

Following is the assessment criteria:

Assessment Component Weightage
Continuous assessment (Mini assignments & MCQ quizzes) 30%
Project assessment 70%
testimonial

Certificate of Completion
by AI for Intelligent Innovators ( AI-II)

Pedagogy
Learning Goals
Introduction to AI & ML Introduction to Neural Networks & Deep Learning Real-world application using AI and big data
  • Introduction to AI & Big Data.
  • Compare and Contrast the various types of ML algorithms.
  • Describe the principles behind various ML algorithms.
  • Fundamental ideas behind Neural Networks and Deep Learning
  • Implement supervised learning algorithms using available tools and libraries.
  • Exploring Machine Learning and AI in the real world
  • Case Studies/Discussion about ML/AI in the real world
Schedule
Week 1

AI and Big Data

  • Introduction to Artificial Intelligence
  • Introduction to Big Data
  • Statistical Thinking
Week 2

Artificial Intelligence & Machine Learning

  • Introduction to Machine Learning
  • Applications of AI and ML
  • Open Source ML Tools & Libraries
Week 3

Machine Learning Algorithms

  • Overview of ML Algorithms
    • Types of algorithms
    • Implementing ML Algorithms
  • Using ML Tools & Libraries
Week 4

Neural Networks and Deep Learning

  • Introduction to Neural Networks & Deep Learning
  • Using ML Tools & Libraries
Week 5

Real World Machine Learning and AI

  • Exploring Machine Learning and AI in the real world
    • Case studies about ML/AI in the real world
    • Discussion on ideas in use of ML/AI
Week 6
  • Project Work - Crafting a plan that brings ideas to life
Week 7
  • Project Work - Crafting a plan that brings ideas to life
Week 8

Main Project and Final Presentation

  • Practical ML Project Work
  • Final Project Presentation

Note:

  1. The content and sequence of the programme may undergo minor changes to cater to the profile of the registered participants.
  2. Readings and online videos for viewing will be assigned each week.
Assessment

Assessment Criteria

Following is the assessment criteria:

Assessment Component Weightage
Continuous assessment (Mini assignments & MCQ quizzes) 30%
Project assessment 70%
Programme Completion Documents
testimonial

Certificate of Completion
by AI for Intelligent Innovators ( AI-II)

Admissions

Associates

AI for Intelligent Innovators ( AI-II)

NUS School of Continuing and Lifelong Education (NUS SCALE)

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 2020 ranked NUS 11th in the world and 1st in Asia. The Times Higher Education World University Rankings 2020 placed NUS at 25th in the world and 3rd in Asia, while its reputation rankings placed NUS at 24th globally. SCImago Institutions Rankings rates NUS in the 1st percentile overall as well as in terms of research quality.

The NUS School of Continuing and Lifelong Education (NUS SCALE) was launched in June 2016 to provide high-quality and industry-relevant continuing education and training programmes, as well as design and deliver multidisciplinary programmes for international partners.

Drawing on the expertise of 16 other NUS faculties and schools, backed by cutting-edge research along with strong industry links, NUS SCALE equips youths, professionals, and organisations from the world over with the latest knowledge and skills demanded in the digital economy. Delivered with technology-enabled blended learning approaches, NUS’ Continuing Education and Training (CET) programmes are designed to enhance both learning experiences and outcomes.

Faculty Profile

Prof. Mehul Motani

Prof. Mehul Motani

IEEE FELLOW

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 the 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.

AI for Intelligent Innovators ( AI-II)

NUS School of Continuing and Lifelong Education (NUS SCALE)

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 2020 ranked NUS 11th in the world and 1st in Asia. The Times Higher Education World University Rankings 2020 placed NUS at 25th in the world and 3rd in Asia, while its reputation rankings placed NUS at 24th globally. SCImago Institutions Rankings rates NUS in the 1st percentile overall as well as in terms of research quality.

The NUS School of Continuing and Lifelong Education (NUS SCALE) was launched in June 2016 to provide high-quality and industry-relevant continuing education and training programmes, as well as design and deliver multidisciplinary programmes for international partners.

Drawing on the expertise of 16 other NUS faculties and schools, backed by cutting-edge research along with strong industry links, NUS SCALE equips youths, professionals, and organisations from the world over with the latest knowledge and skills demanded in the digital economy. Delivered with technology-enabled blended learning approaches, NUS’ Continuing Education and Training (CET) programmes are designed to enhance both learning experiences and outcomes.

Faculty Profile

Prof. Mehul Motani

Prof. Mehul Motani

IEEE FELLOW

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 the 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.

Participant Experiences

Success Stories

Frequently Asked Questions

How will this internship help me in my career or higher studies?

The programme will equip you in the latest technologies in artificial intelligence (AI) and machine learning (ML). At the completion of the course, students will have the knowledge on the fundamentals of AI including the various types of machine learning algorithms. They will also acquire skills and hands-on experience in applying AI and ML on real-world data using the Internet-of-Things as an example application.

NUS is world’s #11 university. The experience, learning and certification will be of immense value to you in preparing for your future university studies.

Who is organizing the online internship?

Corporate Gurukul is organizing the online certified internship programme in association with our partner National University of Singapore (NUS), Singapore.

How/Where is the internship conducted?

The internship will be conducted via LIVE online sessions, using web conferencing and collaboration software, such as Zoom/ GoToMeeting and Slack.

Is it an online internship or a training programme?

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

What are the highlights of the internship?

Some of the highlights of the internship:

  1. LIVE Interactive Online sessions: Training on theory and core concepts
  2. In-session: Assignments and real-life case examples
  3. Quiz: Continuous assessments to ensure understanding and progress
  4. Project Work: Participants work in groups on a real-world project
  5. Project Presentation and Evaluation – All teams/participants present their projects(via video call) and are assessed on the project process and outcome.

What is the fee involved in the online internship?

In order to know about the internship fee/cost involved please refer ‘Programme Fee’ in ‘Admissions’ section above.

Are the dates confirmed for the online internship?

Yes, dates are confirmed for each cohort of online internship participants. Prior notice will be given to all concerned parties if there is a change of date due to unforeseen circumstances. Corporate Gurukul will make best efforts to accommodate the convenience of all parties on revised schedule, date and time.

What is the deadline to submit the application form?

The deadline is as specified under the ‘Dates and Deadlines’ block in ‘Admissions’ section above.

What is the application process?

You are required to apply online using the ‘Enrol Now’ button. The detailed application process post will be shared on email.

What are the selection criteria?

The selection criteria is as mentioned under ‘Requirement for Admissions’ in ‘Admissions’ section above.

Which classes can apply for the internship?

Students from Grade 8 to Grade 12 can apply for the internship.

Do I need to be studying Computer Science or programming 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. The projects will be multidisciplinary in nature.

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!

What are the selection criteria?

The selection criteria are as follows:

  • Overall academic performance (grades) in current year and previous year ins school
  • Profile & Interest – The profile of the students is important. Your knowledge exhibited during the application profile process as well as counselling call is important.

What is the last date to pay for the ‘Internship Fee’?

The payment deadlines will be mentioned in your ‘Offer Letter’. You are eligible for the ‘Offer Letter’ only if you are selected.

What happens if I do not pay my fees by the specified due date as mentioned in ‘Offer Letter’? Can it be extended?

Your application is automatically cancelled due to non-payment of fees by the specified deadline as mentioned in ‘Offer Letter’.

Any extension requests are at the sole discretion of the admissions department and availability of seats. You will be required to send an email requesting extension and the reason for the delay in payment.

What are the ‘Internship Fee’ inclusions?

  1. Certificate of Completion by National University of Singapore (NUS), Singapore.
  2. ‘Letter of Recommendation (LOR)’ by National University of Singapore (NUS), Singapore for top 2 teams.

When will I get the completion documents?

The certificates and LORs will be awarded at the end of the internship.

What are the requirements to earn all the completion documents?

Issuance of the certificates will be at NUS/Corporate Gurukul’s discretion subject to:

  • Completion of all assignments and submission on time
  • 90% attendance during the internship

Which documents will I get after completion of this internship?

Refer ‘Programme Completion Documents’ in ‘Learning Intervention’ section.

What are the requirements to earn all the completion documents?

Issuance of the certificate will be at Corporate Gurukul’s discretion subject to:

  • Completion of all assignments and submission on time
  • 90% attendance during the internship

What skills will I acquire?

After the Internship students should be able to:

  • Compare and Contrast the various types of machine learning algorithms.
  • Describe the principles behind various machine learning algorithms.
  • Explain the fundamental ideas behind Neural Networks and Deep Learning.
  • Implement supervised learning algorithms using available tools and libraries.
  • Apply the lessons learned on a real-world application using AI and big data.

Where are the live sessions conducted?

The LIVE online sessions are conducted live on Zoom/ GoToMeeting conferencing.

What are the hardware/software requirements for the online internship?

Zoom/ GoToMeeting installed on your laptop/desktop.

What about the faculty? Are they equipped enough to conduct online sessions?

Conducting online sessions is not something new for the subject matter experts at NUS Singapore. Our instructors have been trained to handle LIVE online sessions for quite some time now and skilled enough to provide a great learning experience.

How do we submit the projects/assignments?

All assignments and projects will be submitted on the Learning Management System, which will be introduced during the ‘Orientation Session’.

Are assignments given after every session? By when do we submit them?

  1. Assignments will be given weekly and need to be submitted as per the specified deadline by the facilitator.
  2. You may be required to work on the assignments in teams or individually as per the nature of the assignment.

How many projects do we do during the internship?

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

When does the project presentation happen?

The project presentations will be conducted via LIVE video tools like Zoom/GoToMeeting at the end of the internship, The practise sessions are conducted with your Project Mentor on a weekly basis.

What are the assessment components?

Refer ‘Assessment’ in the ‘Learning Intervention’ section.

When are the MCQ sessions conducted?

MCQ Quiz will be conducted every week after the LIVE session is completed.

What if I get delayed in submissions?

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

About the Internship

How will this internship help me in my career or higher studies?

The programme will equip you in the latest technologies in artificial intelligence (AI) and machine learning (ML). At the completion of the course, students will have the knowledge on the fundamentals of AI including the various types of machine learning algorithms. They will also acquire skills and hands-on experience in applying AI and ML on real-world data using the Internet-of-Things as an example application.

NUS is world’s #11 university. The experience, learning and certification will be of immense value to you in preparing for your future university studies.

Who is organizing the online internship?

Corporate Gurukul is organizing the online certified internship programme in association with our partner National University of Singapore (NUS), Singapore.

How/Where is the internship conducted?

The internship will be conducted via LIVE online sessions, using web conferencing and collaboration software, such as Zoom/ GoToMeeting and Slack.

Is it an online internship or a training programme?

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

What are the highlights of the internship?

Some of the highlights of the internship:

  1. LIVE Interactive Online sessions: Training on theory and core concepts
  2. In-session: Assignments and real-life case examples
  3. Quiz: Continuous assessments to ensure understanding and progress
  4. Project Work: Participants work in groups on a real-world project
  5. Project Presentation and Evaluation – All teams/participants present their projects(via video call) and are assessed on the project process and outcome.

What is the fee involved in the online internship?

In order to know about the internship fee/cost involved please refer ‘Programme Fee’ in ‘Admissions’ section above.

Are the dates confirmed for the online internship?

Yes, dates are confirmed for each cohort of online internship participants. Prior notice will be given to all concerned parties if there is a change of date due to unforeseen circumstances. Corporate Gurukul will make best efforts to accommodate the convenience of all parties on revised schedule, date and time.

Applying for the Internship

What is the deadline to submit the application form?

The deadline is as specified under the ‘Dates and Deadlines’ block in ‘Admissions’ section above.

What is the application process?

You are required to apply online using the ‘Enrol Now’ button. The detailed application process post will be shared on email.

What are the selection criteria?

The selection criteria is as mentioned under ‘Requirement for Admissions’ in ‘Admissions’ section above.

Which classes can apply for the internship?

Students from Grade 8 to Grade 12 can apply for the internship.

Do I need to be studying Computer Science or programming 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. The projects will be multidisciplinary in nature.

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!

Academics

What are the selection criteria?

The selection criteria are as follows:

  • Overall academic performance (grades) in current year and previous year ins school
  • Profile & Interest – The profile of the students is important. Your knowledge exhibited during the application profile process as well as counselling call is important.

Payment

What is the last date to pay for the ‘Internship Fee’?

The payment deadlines will be mentioned in your ‘Offer Letter’. You are eligible for the ‘Offer Letter’ only if you are selected.

What happens if I do not pay my fees by the specified due date as mentioned in ‘Offer Letter’? Can it be extended?

Your application is automatically cancelled due to non-payment of fees by the specified deadline as mentioned in ‘Offer Letter’.

Any extension requests are at the sole discretion of the admissions department and availability of seats. You will be required to send an email requesting extension and the reason for the delay in payment.

What are the ‘Internship Fee’ inclusions?

  1. Certificate of Completion by National University of Singapore (NUS), Singapore.
  2. ‘Letter of Recommendation (LOR)’ by National University of Singapore (NUS), Singapore for top 2 teams.

When will I get the completion documents?

The certificates and LORs will be awarded at the end of the internship.

What are the requirements to earn all the completion documents?

Issuance of the certificates will be at NUS/Corporate Gurukul’s discretion subject to:

  • Completion of all assignments and submission on time
  • 90% attendance during the internship

Internship Completion Documents

Which documents will I get after completion of this internship?

Refer ‘Programme Completion Documents’ in ‘Learning Intervention’ section.

What are the requirements to earn all the completion documents?

Issuance of the certificate will be at Corporate Gurukul’s discretion subject to:

  • Completion of all assignments and submission on time
  • 90% attendance during the internship

Learning Intervention

What skills will I acquire?

After the Internship students should be able to:

  • Compare and Contrast the various types of machine learning algorithms.
  • Describe the principles behind various machine learning algorithms.
  • Explain the fundamental ideas behind Neural Networks and Deep Learning.
  • Implement supervised learning algorithms using available tools and libraries.
  • Apply the lessons learned on a real-world application using AI and big data.

Where are the live sessions conducted?

The LIVE online sessions are conducted live on Zoom/ GoToMeeting conferencing.

What are the hardware/software requirements for the online internship?

Zoom/ GoToMeeting installed on your laptop/desktop.

What about the faculty? Are they equipped enough to conduct online sessions?

Conducting online sessions is not something new for the subject matter experts at NUS Singapore. Our instructors have been trained to handle LIVE online sessions for quite some time now and skilled enough to provide a great learning experience.

How do we submit the projects/assignments?

All assignments and projects will be submitted on the Learning Management System, which will be introduced during the ‘Orientation Session’.

Are assignments given after every session? By when do we submit them?

  1. Assignments will be given weekly and need to be submitted as per the specified deadline by the facilitator.
  2. You may be required to work on the assignments in teams or individually as per the nature of the assignment.

How many projects do we do during the internship?

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

When does the project presentation happen?

The project presentations will be conducted via LIVE video tools like Zoom/GoToMeeting at the end of the internship, The practise sessions are conducted with your Project Mentor on a weekly basis.

What are the assessment components?

Refer ‘Assessment’ in the ‘Learning Intervention’ section.

When are the MCQ sessions conducted?

MCQ Quiz will be conducted every week after the LIVE session is completed.

What if I get delayed in submissions?

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