About the Internship
Our "secret sauce” is that we’re with you at every step of the GAIP Journey
The Global Academic Internship Programme (GAIP) with the NUS School of Computing and Amazon Web Services (AWS) brings the rigorous, collaborative, action-learning experience of our in-person internship in the NUS Singapore campus. Over 3 weeks, you will learn and work with a global team of curious learners and tech innovators carefully selected by Corporate Gurukul to build and deliver value through innovation.
GAIP is a hands-on, short-term academic internship conducted by Corporate Gurukul, in association with and certified by the NUS School of Computing and Amazon Web Services (AWS) at the NUS. GAIP enables engineering undergraduates from universities and institutes of higher learning in Asia to level up by pursuing their passion and interest through internships and project-based learning in Artificial Intelligence, Data Analytics, Big Data, Machine Learning, Deep Learning, and IoT (Internet of Things).
Internship on ‘Big Data Analytics Using Deep Learning’ as part of GAIP focuses on and is focused on hands-on real-world projects. 90% of our alumni have polled that 80% of the curriculum is new and aligned to MS abroad or research careers in Data Science and AI.
GAIP is a key component in CG’s Global Strategy which focuses on shaping the future of education, learning and creating global empathetic leaders.
At a Glance
Duration | : | 3 Weeks |
---|---|---|
Learner Profile | : | University UG and PG students |
Academic Fee | : | SGD 3899 |
Application Deadline | : | 15th April, 2021 |
Duration | : | 3 Weeks |
---|---|---|
Learner Profile | : | University UG and PG students |
Academic Internship Fee | : | USD 3899 |
Start Date | : | December 2024 |
Learning Intervention
Classroom Training
Lectures on theory and core concepts
In-Class Assignment
Hands-on work on core concepts
Quiz
The continuous assessment includes quizzes for every session
Project Work
Participants collaborate and work in group projects. They are directly mentored by NUS and Amazon faculty and experts continuously.
Group Presentation
All participants present and are assessed on the project
Sessions with NUS
Session |
Duration (hours) |
Session Agenda |
Assessment |
1 |
3 |
|
|
2 |
3 |
|
Quiz 1 |
3 |
3 |
|
|
4 |
3 |
|
|
5 |
3 |
|
|
6 |
3 |
|
Quiz 3 |
7 |
3 |
Artificial Neural Networks(ANN)
|
|
8 |
3 |
|
Quiz 4 |
9 |
3 |
|
|
9 |
3 |
GenerativeAI
ReinforcementLearning (RL)
|
Final Quiz |
|
|
CG Mock Presentations (CG with TAs)
|
|
|
|
Final Project Presentation and Assessment - NUS
|
Sessions with NUS
Session |
Session By |
Session Agenda |
Duration (hours) |
1 |
NUS |
Introduction to Data Analytics What is Data Analytics - Types of Data Analytics - Data in Data Analytics + Decision Models – Data Mining Process Exploratory Data Analysis - Data Visualization - Data Querying - Statistical Methods for Summarizing Data – Exploring Data using Pivot Tables
|
3 |
2 |
NUS |
Descriptive Statistical Measures What is Descriptive Analytics? - Populations and Samples - Measures of Location - Measures of Dispersion - Measures of Shape - Measures of Association Project Briefing and Group Formation QUIZ
|
3 |
3 |
NUS |
Regression -Introduction to Regression Analysis - Simple Linear Regression - Multi Linear Regression - Stepwise Regression - Coding Scheme for Categorical Variables - Problems with Linear Regression
|
3 |
4 |
NUS |
Introduction to Classification Classification - Decision Trees - Bayesian Classifier - Logistic Regression - Support Vector Machine Separating Hyperplane Maximal Margin Classifier Support Vector Classifier Resampling Methods
|
3 |
5 |
NUS |
ntroduction to Clustering - Affinity Measures and Partition Methods - K-means - K-medoids - Hierarchical Methods Introduction to Association - Structure and Representation of Association Rules - Strong Association Rules and the Concept of Frequent Item sets – Apriori Algorithm - FP Growth - Time Series Analysis
|
3 |
6 |
NUS |
Introduction to Text Mining - Text Mining Terminologies - Text Mining Concepts - Text Mining Process Knowledge Extraction Methods for Text Mining - Classification - Clustering - Association QUIZ
|
3 |
7 |
NUS |
Artificial Neural Networks (ANN) Overview of ANN Why ANN? Back-propagation
|
3 |
8 |
NUS |
Artificial Neural Networks (ANN) - Gradient descent algorithm (GD) - Difficulties of training ANN - Advanced GD algorithm - Other training techniques of ANN QUIZ
|
3 |
9 |
NUS |
Convolutional Neural Networks (CNN) - Convolution, pooling operations - Popular CNN architectures
|
3 |
10 |
NUS |
- Applications of CNN in Python Recurrent Neural Networks (RNN) - Vanilla RNN - LSTM and GRU - Applications of RNN in Python NUS Final Quiz
|
3
|
Sessions with AWS
Session |
Tools |
Session Agenda |
Hands on Exercise |
Duration (hours) |
1 |
AWS Console IAM EMR |
• What is BigData, Machine Learning, Deep Learning • Need of BigData • Why Cloud? IaaS, PaaS, SaaS • 5V of BigData • BigData Pipeline • Amazon EMR Use cases - Batch Data Processing VS Data Warehousing VS Data Lake VS Streaming Data
|
Demo & Lab - Launching EMR Cluster |
4 |
2 |
Amazon S3, Glue, Lake Formation, RDS, Kinesis, DMS, APIs & SDK |
Ingestion & Collection of Data QUIZ - 1
|
Demo & Lab - Launching EMR Cluster |
4 |
3 |
|
• Storages on AWS for BigData & Machine Learning • Data Lakes
|
|
4 |
4 |
Glue, Data Brew, SageMaker Notebook, Hive, PySpark |
• Processing BigData Cleaning, Transformation, Cataloging & governing • Hive, PySpark, AWS Glue, AWS Data Brew Best Practices: Partitioning, Formatting, Compressing, Sizing QUIZ - 2
|
Demo: Transforming batch data using AWS Glue. Demo & Lab: Complete transformation of Raw data to Processed data in Parquet Demo: Launching SageMaker Notebook |
4 |
5 |
Athena, Redshift, Quick sight, SageMaker |
- Analytics & Visualization - Data Warehousing
|
Demo: Launching Redshift Cluster |
4 |
6 |
Ground Truth, SageMaker Inference, Notebook |
• Machine Learning • Machine Learning Pipeline • Supervised, Unsupervised, Reinforcement Algorithms • SageMaker • SageMaker Ground Truth, Notebook • Splitting Data & Cross Validation • Model Training with SageMaker QUIZ - 3
|
Demo: Image processing using SageMaker Ground truth |
4 |
7 |
|
• Model Evaluation: Underfitting & Overfitting • Metrics: Accuracy, Precision, Recall • Feature Engineering Model Deployment & Monitoring QUIZ - 4
|
Demo: Creating Amazon SageMaker Training Job |
4 |
|
CG Mock Presentations
|
3 |
||
|
Final Project Presentation and Assessment – NUS and Amazon (AWS)
|
3 |
Assessment Criteria
Assessment Component | Weightage |
---|---|
Continuous Quiz (Weekly Group Assignments/Quiz) | 30% |
Final Quiz (End Term Quiz) | 20% |
Project Presentation | 50% |
Certificate of Achievement
from Corporate Gurukul
Certificate of Completion
by Amazon
Certificate of Completion
by NUS Advanced Computing for Executives
Classroom Training
Lectures on theory and core concepts
In-Class Assignment
Hands-on work on core concepts
Quiz
The continuous assessment includes quizzes for every session
Project Work
Participants collaborate and work in group projects. They are directly mentored by NUS and Amazon faculty and experts continuously.
Group Presentation
All participants present and are assessed on the project
Sessions with NUS
Session |
Duration (hours) |
Session Agenda |
Assessment |
1 |
3 |
|
|
2 |
3 |
|
Quiz 1 |
3 |
3 |
|
|
4 |
3 |
|
|
5 |
3 |
|
|
6 |
3 |
|
Quiz 3 |
7 |
3 |
Artificial Neural Networks(ANN)
|
|
8 |
3 |
|
Quiz 4 |
9 |
3 |
|
|
9 |
3 |
GenerativeAI
ReinforcementLearning (RL)
|
Final Quiz |
|
|
CG Mock Presentations (CG with TAs)
|
|
|
|
Final Project Presentation and Assessment - NUS
|
Sessions with NUS
Session |
Session By |
Session Agenda |
Duration (hours) |
1 |
NUS |
Introduction to Data Analytics What is Data Analytics - Types of Data Analytics - Data in Data Analytics + Decision Models – Data Mining Process Exploratory Data Analysis - Data Visualization - Data Querying - Statistical Methods for Summarizing Data – Exploring Data using Pivot Tables
|
3 |
2 |
NUS |
Descriptive Statistical Measures What is Descriptive Analytics? - Populations and Samples - Measures of Location - Measures of Dispersion - Measures of Shape - Measures of Association Project Briefing and Group Formation QUIZ
|
3 |
3 |
NUS |
Regression -Introduction to Regression Analysis - Simple Linear Regression - Multi Linear Regression - Stepwise Regression - Coding Scheme for Categorical Variables - Problems with Linear Regression
|
3 |
4 |
NUS |
Introduction to Classification Classification - Decision Trees - Bayesian Classifier - Logistic Regression - Support Vector Machine Separating Hyperplane Maximal Margin Classifier Support Vector Classifier Resampling Methods
|
3 |
5 |
NUS |
ntroduction to Clustering - Affinity Measures and Partition Methods - K-means - K-medoids - Hierarchical Methods Introduction to Association - Structure and Representation of Association Rules - Strong Association Rules and the Concept of Frequent Item sets – Apriori Algorithm - FP Growth - Time Series Analysis
|
3 |
6 |
NUS |
Introduction to Text Mining - Text Mining Terminologies - Text Mining Concepts - Text Mining Process Knowledge Extraction Methods for Text Mining - Classification - Clustering - Association QUIZ
|
3 |
7 |
NUS |
Artificial Neural Networks (ANN) Overview of ANN Why ANN? Back-propagation
|
3 |
8 |
NUS |
Artificial Neural Networks (ANN) - Gradient descent algorithm (GD) - Difficulties of training ANN - Advanced GD algorithm - Other training techniques of ANN QUIZ
|
3 |
9 |
NUS |
Convolutional Neural Networks (CNN) - Convolution, pooling operations - Popular CNN architectures
|
3 |
10 |
NUS |
- Applications of CNN in Python Recurrent Neural Networks (RNN) - Vanilla RNN - LSTM and GRU - Applications of RNN in Python NUS Final Quiz
|
3
|
Sessions with AWS
Session |
Tools |
Session Agenda |
Hands on Exercise |
Duration (hours) |
1 |
AWS Console IAM EMR |
• What is BigData, Machine Learning, Deep Learning • Need of BigData • Why Cloud? IaaS, PaaS, SaaS • 5V of BigData • BigData Pipeline • Amazon EMR Use cases - Batch Data Processing VS Data Warehousing VS Data Lake VS Streaming Data
|
Demo & Lab - Launching EMR Cluster |
4 |
2 |
Amazon S3, Glue, Lake Formation, RDS, Kinesis, DMS, APIs & SDK |
Ingestion & Collection of Data QUIZ - 1
|
Demo & Lab - Launching EMR Cluster |
4 |
3 |
|
• Storages on AWS for BigData & Machine Learning • Data Lakes
|
|
4 |
4 |
Glue, Data Brew, SageMaker Notebook, Hive, PySpark |
• Processing BigData Cleaning, Transformation, Cataloging & governing • Hive, PySpark, AWS Glue, AWS Data Brew Best Practices: Partitioning, Formatting, Compressing, Sizing QUIZ - 2
|
Demo: Transforming batch data using AWS Glue. Demo & Lab: Complete transformation of Raw data to Processed data in Parquet Demo: Launching SageMaker Notebook |
4 |
5 |
Athena, Redshift, Quick sight, SageMaker |
- Analytics & Visualization - Data Warehousing
|
Demo: Launching Redshift Cluster |
4 |
6 |
Ground Truth, SageMaker Inference, Notebook |
• Machine Learning • Machine Learning Pipeline • Supervised, Unsupervised, Reinforcement Algorithms • SageMaker • SageMaker Ground Truth, Notebook • Splitting Data & Cross Validation • Model Training with SageMaker QUIZ - 3
|
Demo: Image processing using SageMaker Ground truth |
4 |
7 |
|
• Model Evaluation: Underfitting & Overfitting • Metrics: Accuracy, Precision, Recall • Feature Engineering Model Deployment & Monitoring QUIZ - 4
|
Demo: Creating Amazon SageMaker Training Job |
4 |
|
CG Mock Presentations
|
3 |
||
|
Final Project Presentation and Assessment – NUS and Amazon (AWS)
|
3 |
Assessment Criteria
Assessment Component | Weightage |
---|---|
Continuous Quiz (Weekly Group Assignments/Quiz) | 30% |
Final Quiz (End Term Quiz) | 20% |
Project Presentation | 50% |
Certificate of Achievement
from Corporate Gurukul
Certificate of Completion
by Amazon
Certificate of Completion
by NUS Advanced Computing for Executives
Admissions
Admissions to GAIP is highly selective, and has evolved over the last 15 years to reflect characteristics such as compassion, pursuit of excellence, curiosity, etc. embodied by our most successful interns. When you apply, be prepared to talk about your accomplishments and what are your career goals and aspirations.
Who should attend?
Dates and Deadlines for Admission
Requirement for Admissions
Class Profile
Programme Fee
Associates
National University of Singapore
The NUS School of Computing traces its roots back to the Nanyang University Department of Computer Science that was established in 1975 – the first of its kind in Singapore. Since then, it has developed into one of the leading computing schools in the world, with faculty members who are both internationally recognised researchers and inspiring teachers. The school offers undergraduate and graduate degree 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, fintech, blockchain, analytics and security.
Dr. TAN Wee Kek
Dr. TAN Wee Kek
Associate Professor
Department of Information Systems & Analytics
School of Computing
National University of Singapore
Dr. TAN Wee Kek is currently an Associate Professor in the Department of Information Systems & Analytics at the School of Computing, National University of Singapore. He is also a Fellow of the prestigious NUS Teaching Academy. He graduated with a Doctor of Philosophy in Information Systems in July 2013 and a Bachelor of Computing in Information Systems (1st Class Honours) in July 2007, both from the National University of Singapore. Prior to this, he attended Singapore Polytechnic and graduated with a Diploma in Computer Information Systems with Merit in July 2001.
His current primary research interests focus on consumer-based information technology (e.g., online decision aids, social computing, virtual worlds and consumer cloud services). Most of his research is based on design science, a well-established problem-solving paradigm that has been widely adopted in information systems research. His current secondary research interests focus on information systems education.
His work has been published or is forthcoming in journals such as Journal of the American Society for Information Science and Technology (JASIST), Decision Support Systems (DSS), Communications of the Association for Information Systems (CAIS), and Journal of Information Systems Education (JISE). His work has also been presented or is forthcoming in conferences such as ACM SIGMIS Computer Personnel Research Conference (SIGMIS-CPR), IFIP Working Group 8.2 Working Conference (IFIP WG8.2), European Conference on Information Systems (ECIS), Americas Conference on Information Systems (AMCIS), and International Conference on Human-Computer Interaction (ICHCI).
Prof. Samantha Sow Jin Sze
Prof. Samantha Sow Jin Sze
Senior Lecturer
Department of Information Systems and Analytics at NUS Computing
Samantha Sow is a Senior Lecturer in the Department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs).
Samantha completed her Master of Education from the University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours.
She works on enterprise transformation projects with clients. Her passion lies in engaging and inspiring participants to enhance their workplace analytics capabilities and business intelligence quotient within their organisations.
Dr. Amirhassan Monajemi
Dr. Amirhassan Monajemi
Senior Lecturer
School of Computing
National University of Singapore
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science.
Amazon
Amazon - World leader in e-commerce, cloud computing, digital streaming and AI.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and
voice-assisted devices.
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
National University of Singapore
The NUS School of Computing traces its roots back to the Nanyang University Department of Computer Science that was established in 1975 – the first of its kind in Singapore. Since then, it has developed into one of the leading computing schools in the world, with faculty members who are both internationally recognised researchers and inspiring teachers. The school offers undergraduate and graduate degree 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, fintech, blockchain, analytics and security.
Dr. TAN Wee Kek
Dr. TAN Wee Kek
Associate Professor
Department of Information Systems & Analytics
School of Computing
National University of Singapore
Dr. TAN Wee Kek is currently an Associate Professor in the Department of Information Systems & Analytics at the School of Computing, National University of Singapore. He is also a Fellow of the prestigious NUS Teaching Academy. He graduated with a Doctor of Philosophy in Information Systems in July 2013 and a Bachelor of Computing in Information Systems (1st Class Honours) in July 2007, both from the National University of Singapore. Prior to this, he attended Singapore Polytechnic and graduated with a Diploma in Computer Information Systems with Merit in July 2001.
His current primary research interests focus on consumer-based information technology (e.g., online decision aids, social computing, virtual worlds and consumer cloud services). Most of his research is based on design science, a well-established problem-solving paradigm that has been widely adopted in information systems research. His current secondary research interests focus on information systems education.
His work has been published or is forthcoming in journals such as Journal of the American Society for Information Science and Technology (JASIST), Decision Support Systems (DSS), Communications of the Association for Information Systems (CAIS), and Journal of Information Systems Education (JISE). His work has also been presented or is forthcoming in conferences such as ACM SIGMIS Computer Personnel Research Conference (SIGMIS-CPR), IFIP Working Group 8.2 Working Conference (IFIP WG8.2), European Conference on Information Systems (ECIS), Americas Conference on Information Systems (AMCIS), and International Conference on Human-Computer Interaction (ICHCI).
Prof. Samantha Sow Jin Sze
Prof. Samantha Sow Jin Sze
Senior Lecturer
Department of Information Systems and Analytics at NUS Computing
Samantha Sow is a Senior Lecturer in the Department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs).
Samantha completed her Master of Education from the University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours.
She works on enterprise transformation projects with clients. Her passion lies in engaging and inspiring participants to enhance their workplace analytics capabilities and business intelligence quotient within their organisations.
Dr. Amirhassan Monajemi
Dr. Amirhassan Monajemi
Senior Lecturer
School of Computing
National University of Singapore
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science.
Amazon
Amazon - World leader in e-commerce, cloud computing, digital streaming and AI.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and
voice-assisted devices.
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
Featured Review
Success Stories
Frequently Asked Questions
Who is organizing the academic internship?
Corporate Gurukul is organizing the academic internship in association with professor(s) from NUS School of Computing and professional(s) from Amazon Web Services (AWS).
Where is GAIP conducted?
GAIP will be conducted on-campus at the NUS School of Computing.
Is it an academic internship or a training programme?
It is a hands-on academic internship in a classroom environment to hone industry-relevant skills and knowledge. It’s a guided experience with mentorship and training by university professor(s) and industry professional(s).
I wanted to enquire about the cost incurred in this programme. Kindly provide me the details of the cost or expenditure of this programme.
In order to know about the programme and cost involved please refer to the programme details above.
Can I have information on previous academic internship rollouts that you have done?
Previous academic internship updates are available on our Facebook page. Check out the link here.
Are the dates confirmed for the academic internship?
The academic internship schedule, date and time are subject to change based on the availability of professor(s) from NUS School of Computing and professionals from Amazon Web Services (AWS). Prior notice will be given to all concerned parties on the change of date and best efforts will be made by Corporate Gurukul to accommodate convenience of all parties on revised schedule, date and time.
Can you help me if I want to pursue a Masters at NUS?
The admissions are purely on merit. And GAIP serves as a very strong platform for strengthening your application. However, we do not guarantee any admissions at NUS. You can explore admission requirements and financial aids by visiting the admissions department at NUS in your free time.
What is the deadline to submit the application form?
The application deadline is Closing Soon.
What is the application process?
You are required to apply online using the Enroll Now button. Follow the steps of the application process available on your dashboard.
What are the selection criteria?
The selection criteria are as follows:
- Aggregate CGPA of all semesters till date
- Pre-requisite Test Scores
- Projects/Courses taken up in the relevant module chosen
- Essays - Relevant career goals, interest areas and learning experiences
What are the subjects for pre-requisite test assessment?
For Data Analytics using Deep Learning you will be assessed on the following:
- Python
- Probability and Statistics
What is the last date to pay for the registration fees?
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? Can it be extended?
Your application is automatically cancelled due to non payment of fees by the specified deadline. Any extension requests are at the sole discretion of the admissions department and availability of seats. You will be required to send an email to contact@corporategurukul.com requesting for an extension* and the reason for delay in payment. *Extension requests should be made at least 24 hours prior to your payment deadline
Is accommodation mandatory?
Yes, accommodation is mandatory as all participants are required to be at the same place for project work / assignments to ensure that the team or the project don't get impacted.
What are the programme fee inclusions?
- Curriculum design, training, assignments and evaluation by professor(s) from NUS School of Computing
- Curriculum design, training and assignments by certified professional(s) from Amazon Web Services (AWS)
- Certificate of Completion by NUS Advanced Computing for Executives
- Certificate of Completion by Amazon Web Services (AWS)
- Letter of Evaluation by faculty from NUS School of Computing
- Certificate of Achievement by Corporate Gurukul, Singapore co-signed by NUS Advanced Computing for Executives and Amazon Web Services (AWS)
- Accommodation
What is not included in the programme fee?
- Flights/Visa/Travel Insurance
- Local Transport in India
- Breakfast, Lunch and Dinner
- International SIM Card
- Local Transport in Singapore for personal visits/sightseeing
- Entrance Fee to various tourist attractions in Singapore
- Medical expenses in Singapore
- Gym, laundry or any other hostel facility charges
- Stay in Singapore before or after academic internship dates
- INR 600 for Prerequisite test
When will I get the entitled documents?
- The certificates will be awarded during the Valedictory Ceremony at the end of the programme.
- The LOE(s) will be posted to your respective institutes 60 days post the programme completion.
Which certificate(s) and letter(s) will I get after completion of this academic internship?
- Certificate of Completion by NUS Advanced Computing for Executives
- Certificate of Completion by Amazon Web Services (AWS)
- Letter of Evaluation by faculty from NUS School of Computing
- Certificate of Achievement by Corporate Gurukul, Singapore co-signed by NUS Advanced Computing for Executives and Amazon Web Services (AWS)
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:
a. the participant’s performance
b. completion of assignments and
c. 90% attendance during the academic internship
Where are the hands-on sessions conducted?
- The hands-on sessions are conducted in the Lecture Theatre/Seminar Rooms. You will not visit any laboratories for the same unless requested by the professor(s).
- Laptop with the specifications mentioned in OFFER LETTER is MANDATORY for all participants.
What are the hardware/software requirements for the academic internship?
- Microsoft Excel
- VMware workstation or latest Vmplayer installed (Win) or VMware fusion with License (Mac)
How many students typically score grade A+ and above?
In the past batches, about 10% of students have secured grade O or A+.
How many batches are there during the programme?
The cohort size per batch is a maximum of 85 participants. The number of batches during the programme will be subject to the number of enrollments.
Is the Professor(s) different for multiple batches in the programme?
Yes, incase of multiple batches in a particular programme the faculty profiles will be different. The same will be shared post your batch is confirmed.
Do we visit Amazon office for the Amazon Education part of the curriculum?
No. The entire academic internship is delivered at NUS School of Computing.
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 the pre requisite readiness and a proper mix of students from various institutions. Any request for choice of team member will not be entertained.
How do we submit the projects/assignments?
All assignments and projects will be submitted on the Learning Management System, Acadly.
Are assignments given daily? By when do we submit them?
- Assignments will be given daily and need to be submitted as per specified deadline.
- You may be required to work on the assignments in teams or individually as per the nature of assignment.
How many projects do we do during the programme?
You are required to complete one project during the duration of the programme. This will be done in teams.
When does the project presentation happen?
The project presentations will be conducted post NUS School of Computing and Amazon sessions.
What are the assessment components?
Participants will be assessed based on the following components:
- Continuous Quiz (Weekly Group Assignments/Quiz) - 30% weightage
- Final Quiz (End Term Quiz) - 20% weightage
- Project Presentation - 50% weightage
Are both NUS and Amazon sessions graded?
Yes, both NUS School of Computing and Amazon sessions will be graded. They are graded individually.
When are the MCQ sessions conducted?
MCQ Quiz will be conducted every day during the afternoon session.
What if I get delayed in submissions?
Any late submissions of project, assignments or quizzes beyond specified deadline will carry negative marks.
Can I meet with professor(s) on my own?
Participants may independently, on their own initiative meet Professor(s) with prior appointment. Corporate Gurukul’s participation or GAIP should nowhere be mentioned for such interactions are outside the scope of GAIP.
Where do we stay in Singapore?
You will stay in a hostel/ hotel in Singapore. The exact hostel/ hotel address and facilities will be informed to you during academic internship orientation.
Coach services will be provided for transfer from hostel/ hotel to university and back.
When should I reach airport?
Reach the airport at least three hours prior to the departure.
When should I arrive in Singapore?
The exact dates and timing will be issued to you formally upon successful admission for GAIP. Kindly hold your ticket booking till that time.
When should I depart from Singapore?
The exact dates and timing will be issued to you formally upon successful admission for GAIP. Kindly hold your ticket booking till that time.
Where should I go when once I arrive in Singapore? Will CG provide a pick up facility from airport?
Airport Transfers are not covered as a part of programme deliverables. However, Corporate Gurukul may arrange for coach services for pick up from Airport and drop at hostel/ hotel if there are a lot of students travelling during the same time slot.
Please note that there is no drop facility from hostel/ hotel to airport during the return journey.
How should I proceed for Visa?
- Please approach Authorized Visa Agents (AVA) only for Visa processing. You may check the list of AVAs for Singapore here.
- The Visa processing fee is S$ 30 (INR 1500). The agent will charge you additional fee of INR 300-500.
- You need to apply for TOURIST VISA only.
- You will be granted 30 days of stay from the day you enter Singapore.
How much time does it take during the immigration?
The immigration process takes typically 2-3 minutes per individual.
Refer below links for the arrival and departure immigration process:
a. On Arrival Immigration Process - https://youtu.be/yvL8nPEuQIE
b. Departure Immigration Process - https://youtu.be/xgTHVn5y4Cs
What are the documents that I need to carry for Immigration process?
You will be required to show your passport, boarding pass and E-Visa to the immigration officer. They might ask for additional supporting documents as below. Please carry the following documents along with one set of photocopy (mandatory):
- Passport
- Offer Letter
- Admission Letter
- Visa Invite Letter
- E-Visa
- Personal Travel Insurance (if applied)
- 2 nos. of passport size photograph
Is there any travel checklist?
- Laptop (and charger) with mentioned specs:
- SIN $1000 Card/International Credit Card for personal expenses
- SIN $30-SIN $50 for SIM Card and international Calling
- Travel adapter for Singapore. Buy here.
- Mobile phone with charger
- Bathing Towel with preferred soap and shampoo
- Bedsheet (2 Nos.)
- Digital Camera
- Foldable Umbrella (it rains anytime/ any day in Singapore)
- Hair and personal grooming (it costs 5 times that of India)
- Water Bottle
- Medical Kit (if applicable).Prescription is required for drugs administered for specific illness. You do not require a prescription for Over the Counter (OTC) drugs.
- Indian/ Western formals for trainings sessions and meetings
- One pair of black formal shoes
- Jacket/ Blazer/Suit for formal occasion/ photo-shoot
- Swim wear/ shorts/ slippers for the beach (though you can buy in Singapore, its costly)
- Carry a pair of sun-glasses for outdoors and beach (remember Singapore is on the equator)
- Flight Check-in baggage with locking facility (as per your luggage allowance)
- Refer carefully the list of objects that CANNOT be carried in hand-carry baggage for flight
Is there any check in/check out timing for the hostels?
The hostel/ hotel booking will be done by Corporate Gurukul as per the following schedule:
Hostel/ Hotel Check-in
Time: 2:00 PM SGT onwards
Early check-in (same day) may be available at a fee if there is a vacancy.
Hostel/ Hotel Check-out
Time: Before 12:00 PM
Late check-out is not available.
Can I book hostel/hotel for extra day before/after the programme by paying for it?
No, the hostels/hotels are booked only for the programme duration. Should you wish to extend your stay, you will need to arrange for accommodation on your own.
What are the facilities in hostel/hotel?
They will be confirmed one month prior to the programme commencement. Typical facilities include:
In Room
a. Non-Air-conditioned Room
b. Single Bed
c. One set of linen (Bedspread. Pillow cover, Thin Blanket)
d. Study table and chair
e. Wardrobe (with locking facility)
f. Mobile pedestal
g. Ceiling Fan
h. Window curtains
i. Wi-Fi
Common Facilities
a. Shower and Toilet Facilities
b. Food court/restaurant near hostel (Veg and Non-veg)
Please note Sports and Gym facilities may not be accessible.
What is the dress code in the classroom?
- Please carry at least two sets of formals for introductory session, formal photo shoot and Valedictory ceremony.
- You can refer here for formal dressing guidelines
- You can wear smart casuals during sessions unless specifically asked to wear formals.
- Smart casuals include jeans, t-shirts, shirts, trousers, kurtis (for girls).
- Please do not wear shorts and slippers to class.
Is there any dress code in the hostel and while going around in the university?
- Shorts are allowed in the hostel for both boys and girls.
- Attire such as skimpy or revealing clothes or clothes printed with vulgar or offensive words or pictures should be avoided.
What if I fall sick or meet with an accident?
Your travel insurance policy should cover all charges incurred for medical expenses. Please read all scheme related documents carefully for inclusions and exclusions. Corporate Gurukul will not be responsible for any personal expenses made which are covered or not covered by your insurance policy. Also, make sure you travel with enough money for emergency.
Who do I contact during emergency in Singapore?
Corporate Gurukul Programme Manager(s) typically stay in the same hostel as you. You can approach them for any help. Their details will be shared with you during orientation.
What kind of food do I get in Singapore?
Vegetarian, as well as non-vegetarian food is easily available inside and outside university campus. There is wide range of choice amongst Indian, Chinese, European, Malay, Thai, Vietnamese and Indonesian cuisines. Typically, 3 meals in a day should cost you between S$18 - S$25. However, the estimate may vary as per your dining choices.
About GAIP
Who is organizing the academic internship?
Corporate Gurukul is organizing the academic internship in association with professor(s) from NUS School of Computing and professional(s) from Amazon Web Services (AWS).
Where is GAIP conducted?
GAIP will be conducted on-campus at the NUS School of Computing.
Is it an academic internship or a training programme?
It is a hands-on academic internship in a classroom environment to hone industry-relevant skills and knowledge. It’s a guided experience with mentorship and training by university professor(s) and industry professional(s).
I wanted to enquire about the cost incurred in this programme. Kindly provide me the details of the cost or expenditure of this programme.
In order to know about the programme and cost involved please refer to the programme details above.
Can I have information on previous academic internship rollouts that you have done?
Previous academic internship updates are available on our Facebook page. Check out the link here.
Are the dates confirmed for the academic internship?
The academic internship schedule, date and time are subject to change based on the availability of professor(s) from NUS School of Computing and professionals from Amazon Web Services (AWS). Prior notice will be given to all concerned parties on the change of date and best efforts will be made by Corporate Gurukul to accommodate convenience of all parties on revised schedule, date and time.
Can you help me if I want to pursue a Masters at NUS?
The admissions are purely on merit. And GAIP serves as a very strong platform for strengthening your application. However, we do not guarantee any admissions at NUS. You can explore admission requirements and financial aids by visiting the admissions department at NUS in your free time.
Applying for GAIP
What is the deadline to submit the application form?
The application deadline is Closing Soon.
What is the application process?
You are required to apply online using the Enroll Now button. Follow the steps of the application process available on your dashboard.
What are the selection criteria?
The selection criteria are as follows:
- Aggregate CGPA of all semesters till date
- Pre-requisite Test Scores
- Projects/Courses taken up in the relevant module chosen
- Essays - Relevant career goals, interest areas and learning experiences
What are the subjects for pre-requisite test assessment?
For Data Analytics using Deep Learning you will be assessed on the following:
- Python
- Probability and Statistics
Payment
What is the last date to pay for the registration fees?
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? Can it be extended?
Your application is automatically cancelled due to non payment of fees by the specified deadline. Any extension requests are at the sole discretion of the admissions department and availability of seats. You will be required to send an email to contact@corporategurukul.com requesting for an extension* and the reason for delay in payment. *Extension requests should be made at least 24 hours prior to your payment deadline
Is accommodation mandatory?
Yes, accommodation is mandatory as all participants are required to be at the same place for project work / assignments to ensure that the team or the project don't get impacted.
What are the programme fee inclusions?
- Curriculum design, training, assignments and evaluation by professor(s) from NUS School of Computing
- Curriculum design, training and assignments by certified professional(s) from Amazon Web Services (AWS)
- Certificate of Completion by NUS Advanced Computing for Executives
- Certificate of Completion by Amazon Web Services (AWS)
- Letter of Evaluation by faculty from NUS School of Computing
- Certificate of Achievement by Corporate Gurukul, Singapore co-signed by NUS Advanced Computing for Executives and Amazon Web Services (AWS)
- Accommodation
What is not included in the programme fee?
- Flights/Visa/Travel Insurance
- Local Transport in India
- Breakfast, Lunch and Dinner
- International SIM Card
- Local Transport in Singapore for personal visits/sightseeing
- Entrance Fee to various tourist attractions in Singapore
- Medical expenses in Singapore
- Gym, laundry or any other hostel facility charges
- Stay in Singapore before or after academic internship dates
- INR 600 for Prerequisite test
When will I get the entitled documents?
- The certificates will be awarded during the Valedictory Ceremony at the end of the programme.
- The LOE(s) will be posted to your respective institutes 60 days post the programme completion.
Programme Completion Documents
Which certificate(s) and letter(s) will I get after completion of this academic internship?
- Certificate of Completion by NUS Advanced Computing for Executives
- Certificate of Completion by Amazon Web Services (AWS)
- Letter of Evaluation by faculty from NUS School of Computing
- Certificate of Achievement by Corporate Gurukul, Singapore co-signed by NUS Advanced Computing for Executives and Amazon Web Services (AWS)
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:
a. the participant’s performance
b. completion of assignments and
c. 90% attendance during the academic internship
Academics
Where are the hands-on sessions conducted?
- The hands-on sessions are conducted in the Lecture Theatre/Seminar Rooms. You will not visit any laboratories for the same unless requested by the professor(s).
- Laptop with the specifications mentioned in OFFER LETTER is MANDATORY for all participants.
What are the hardware/software requirements for the academic internship?
- Microsoft Excel
- VMware workstation or latest Vmplayer installed (Win) or VMware fusion with License (Mac)
How many students typically score grade A+ and above?
In the past batches, about 10% of students have secured grade O or A+.
How many batches are there during the programme?
The cohort size per batch is a maximum of 85 participants. The number of batches during the programme will be subject to the number of enrollments.
Is the Professor(s) different for multiple batches in the programme?
Yes, incase of multiple batches in a particular programme the faculty profiles will be different. The same will be shared post your batch is confirmed.
Do we visit Amazon office for the Amazon Education part of the curriculum?
No. The entire academic internship is delivered at NUS School of Computing.
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 the pre requisite readiness and a proper mix of students from various institutions. Any request for choice of team member will not be entertained.
How do we submit the projects/assignments?
All assignments and projects will be submitted on the Learning Management System, Acadly.
Are assignments given daily? By when do we submit them?
- Assignments will be given daily and need to be submitted as per specified deadline.
- You may be required to work on the assignments in teams or individually as per the nature of assignment.
How many projects do we do during the programme?
You are required to complete one project during the duration of the programme. This will be done in teams.
When does the project presentation happen?
The project presentations will be conducted post NUS School of Computing and Amazon sessions.
What are the assessment components?
Participants will be assessed based on the following components:
- Continuous Quiz (Weekly Group Assignments/Quiz) - 30% weightage
- Final Quiz (End Term Quiz) - 20% weightage
- Project Presentation - 50% weightage
Are both NUS and Amazon sessions graded?
Yes, both NUS School of Computing and Amazon sessions will be graded. They are graded individually.
When are the MCQ sessions conducted?
MCQ Quiz will be conducted every day during the afternoon session.
What if I get delayed in submissions?
Any late submissions of project, assignments or quizzes beyond specified deadline will carry negative marks.
Can I meet with professor(s) on my own?
Participants may independently, on their own initiative meet Professor(s) with prior appointment. Corporate Gurukul’s participation or GAIP should nowhere be mentioned for such interactions are outside the scope of GAIP.
Travel and Accomodation
Where do we stay in Singapore?
You will stay in a hostel/ hotel in Singapore. The exact hostel/ hotel address and facilities will be informed to you during academic internship orientation.
Coach services will be provided for transfer from hostel/ hotel to university and back.
When should I reach airport?
Reach the airport at least three hours prior to the departure.
When should I arrive in Singapore?
The exact dates and timing will be issued to you formally upon successful admission for GAIP. Kindly hold your ticket booking till that time.
When should I depart from Singapore?
The exact dates and timing will be issued to you formally upon successful admission for GAIP. Kindly hold your ticket booking till that time.
Where should I go when once I arrive in Singapore? Will CG provide a pick up facility from airport?
Airport Transfers are not covered as a part of programme deliverables. However, Corporate Gurukul may arrange for coach services for pick up from Airport and drop at hostel/ hotel if there are a lot of students travelling during the same time slot.
Please note that there is no drop facility from hostel/ hotel to airport during the return journey.
How should I proceed for Visa?
- Please approach Authorized Visa Agents (AVA) only for Visa processing. You may check the list of AVAs for Singapore here.
- The Visa processing fee is S$ 30 (INR 1500). The agent will charge you additional fee of INR 300-500.
- You need to apply for TOURIST VISA only.
- You will be granted 30 days of stay from the day you enter Singapore.
How much time does it take during the immigration?
The immigration process takes typically 2-3 minutes per individual.
Refer below links for the arrival and departure immigration process:
a. On Arrival Immigration Process - https://youtu.be/yvL8nPEuQIE
b. Departure Immigration Process - https://youtu.be/xgTHVn5y4Cs
What are the documents that I need to carry for Immigration process?
You will be required to show your passport, boarding pass and E-Visa to the immigration officer. They might ask for additional supporting documents as below. Please carry the following documents along with one set of photocopy (mandatory):
- Passport
- Offer Letter
- Admission Letter
- Visa Invite Letter
- E-Visa
- Personal Travel Insurance (if applied)
- 2 nos. of passport size photograph
Is there any travel checklist?
- Laptop (and charger) with mentioned specs:
- SIN $1000 Card/International Credit Card for personal expenses
- SIN $30-SIN $50 for SIM Card and international Calling
- Travel adapter for Singapore. Buy here.
- Mobile phone with charger
- Bathing Towel with preferred soap and shampoo
- Bedsheet (2 Nos.)
- Digital Camera
- Foldable Umbrella (it rains anytime/ any day in Singapore)
- Hair and personal grooming (it costs 5 times that of India)
- Water Bottle
- Medical Kit (if applicable).Prescription is required for drugs administered for specific illness. You do not require a prescription for Over the Counter (OTC) drugs.
- Indian/ Western formals for trainings sessions and meetings
- One pair of black formal shoes
- Jacket/ Blazer/Suit for formal occasion/ photo-shoot
- Swim wear/ shorts/ slippers for the beach (though you can buy in Singapore, its costly)
- Carry a pair of sun-glasses for outdoors and beach (remember Singapore is on the equator)
- Flight Check-in baggage with locking facility (as per your luggage allowance)
- Refer carefully the list of objects that CANNOT be carried in hand-carry baggage for flight
Is there any check in/check out timing for the hostels?
The hostel/ hotel booking will be done by Corporate Gurukul as per the following schedule:
Hostel/ Hotel Check-in
Time: 2:00 PM SGT onwards
Early check-in (same day) may be available at a fee if there is a vacancy.
Hostel/ Hotel Check-out
Time: Before 12:00 PM
Late check-out is not available.
Can I book hostel/hotel for extra day before/after the programme by paying for it?
No, the hostels/hotels are booked only for the programme duration. Should you wish to extend your stay, you will need to arrange for accommodation on your own.
What are the facilities in hostel/hotel?
They will be confirmed one month prior to the programme commencement. Typical facilities include:
In Room
a. Non-Air-conditioned Room
b. Single Bed
c. One set of linen (Bedspread. Pillow cover, Thin Blanket)
d. Study table and chair
e. Wardrobe (with locking facility)
f. Mobile pedestal
g. Ceiling Fan
h. Window curtains
i. Wi-Fi
Common Facilities
a. Shower and Toilet Facilities
b. Food court/restaurant near hostel (Veg and Non-veg)
Please note Sports and Gym facilities may not be accessible.
What is the dress code in the classroom?
- Please carry at least two sets of formals for introductory session, formal photo shoot and Valedictory ceremony.
- You can refer here for formal dressing guidelines
- You can wear smart casuals during sessions unless specifically asked to wear formals.
- Smart casuals include jeans, t-shirts, shirts, trousers, kurtis (for girls).
- Please do not wear shorts and slippers to class.
Is there any dress code in the hostel and while going around in the university?
- Shorts are allowed in the hostel for both boys and girls.
- Attire such as skimpy or revealing clothes or clothes printed with vulgar or offensive words or pictures should be avoided.
What if I fall sick or meet with an accident?
Your travel insurance policy should cover all charges incurred for medical expenses. Please read all scheme related documents carefully for inclusions and exclusions. Corporate Gurukul will not be responsible for any personal expenses made which are covered or not covered by your insurance policy. Also, make sure you travel with enough money for emergency.
Who do I contact during emergency in Singapore?
Corporate Gurukul Programme Manager(s) typically stay in the same hostel as you. You can approach them for any help. Their details will be shared with you during orientation.
What kind of food do I get in Singapore?
Vegetarian, as well as non-vegetarian food is easily available inside and outside university campus. There is wide range of choice amongst Indian, Chinese, European, Malay, Thai, Vietnamese and Indonesian cuisines. Typically, 3 meals in a day should cost you between S$18 - S$25. However, the estimate may vary as per your dining choices.