Online Internship - Applied Deep Learning with HPE Education

Start Date: August 2021

About the Internship

 

What will the internship be for you?

 

Selective. Immersive. Transformational.

 

The LIVE online Applied Deep Learning internship brings the highly rigorous, immersive, collaborative, action-learning experience of our in-person immersive internships, online. Over 8 weeks, you will learn and work with a global team of innovators carefully selected by Corporate Gurukul to build and deliver value through innovation.

 

This LIVE online internship enables you to apply your knowledge of Deep Learning to solve real-world problems and work on innovative projects mentored directly by HPE's industry experts and trainers. The module also covers the foundations of Artificial Intelligence and Machine Learning, with special focus on Deep Learning and the best practices in managing deep learning projects. Hence making you industry ready, launch your own startup or increase your chances of admit from your dream college.

 

The Applied Deep Learning internship is a key component in CG’s Global Strategy which focuses on shaping the future of education, learning and creating global empathetic leaders.

 

Some of the highlights:

 

  • Hands-on LIVE sessions in Python, TensorFlow and Keras will be provided to deepen student understanding
  • Advanced Deep Learning Applications: Regularization methods, Hyper Parameter Tuning, Time Series Analysis
  • Real-world projects in Computer Vision (CV) and Natural Language Processing (NLP) directly mentored by HPE experts and trainers
  • Certificate of Completion & Letter of Recommendation (LOR) from HPE
  • Become a lifetime member of our Global Alumni Network, take part in alumni engagements, collaborate and springboard your career
At a Glance
Duration : 8 Weeks
Learner Profile : UG and PG students
Internship Fee (Inaugural Offer) : SGD 499
Application Deadline : 15th October, 2020
Duration : 5 Weeks
Learner Profile : UG and PG students
Internship Fee  : S$ 999*
Application Deadline : 30th July 2021
Mode of Delivery : LIVE Online

*Apply for scholarships, EMIs and Offers

Enroll Now

Download Brochure

What to expect at the internship?

Exploratory Data Analysis & The intelligent Systems Deep dive in Neural Network and Deep Learning
  • Setting up the environment and getting started
  • Cleaning Data
  • Feature Engineering
  • Data strategy and Exploratory Data Analysis
  • Types of AI
  • The Data Science Eco system
  • The scary maths behind Neural Network
  • Designing a Neural Network from Scratch
  • Exploring Tensor Flow and PY Torch
Advanced Neural Networks

Advanced models for Images & Text

Advances in Natural Language Processing

Training vs Inference
  • Regularization methods
  • Regular and Model derivation
  • Hyper Parameter Tuning
  • Time Series Analysis
  • Convolution AL
  • Convolutional Neural Network
  • Recurrent Neural Network
  • Object Detection
  • Advance Data Augmentation
  • Cleaning Multi Lingual Data
  • Language Detection
  • Sequence to Sequence Modelling
  • Design Considerations
  • Architecture Guidelines
  • Deployment Strategies
  • Cloud Computing
Week 1
  • Exploratory Data Analysis
  • The Intelligent Systems
  • Quiz: 10 MCQ Questions
  • Case Study
Week 2
  • Deep Dive in Neural Network and Deep Learning
  • Quiz: 10 MCQ Questions
  • Case Study
Week 3
  • Advanced Neural Networks
  • Quiz: 10 MCQ Questions
  • Case Study
Week 4
  • Advance models for Images & Text
  • Quiz: 10 MCQ Questions
  • Case Study
Week 5
  • Advances in Natural Language Processing
  • Training vs Inference
  • Quiz: 10 MCQ Questions
  • Case Study
Week 6
  • Guidance on Project work by Mentors
Week 7
  • Guidance on Project work by Mentors
  • Mock Presentation of Projects to Mentors
Week 8
  • Individual Project Assessment

Assessment Criteria

Assessment Component Weightage
Continuous assessment (MCQ Quizzes) 30%
Project Assessment 70%
testimonial

Certificate of Completion
by Hewlett Packard Enterprise

Pedagogy
Learning Goals
Exploratory Data Analysis & The intelligent Systems Deep dive in Neural Network and Deep Learning
  • Setting up the environment and getting started
  • Cleaning Data
  • Feature Engineering
  • Data strategy and Exploratory Data Analysis
  • Types of AI
  • The Data Science Eco system
  • The scary maths behind Neural Network
  • Designing a Neural Network from Scratch
  • Exploring Tensor Flow and PY Torch
Advanced Neural Networks

Advanced models for Images & Text

Advances in Natural Language Processing

Training vs Inference
  • Regularization methods
  • Regular and Model derivation
  • Hyper Parameter Tuning
  • Time Series Analysis
  • Convolution AL
  • Convolutional Neural Network
  • Recurrent Neural Network
  • Object Detection
  • Advance Data Augmentation
  • Cleaning Multi Lingual Data
  • Language Detection
  • Sequence to Sequence Modelling
  • Design Considerations
  • Architecture Guidelines
  • Deployment Strategies
  • Cloud Computing
Schedule
Week 1
  • Exploratory Data Analysis
  • The Intelligent Systems
  • Quiz: 10 MCQ Questions
  • Case Study
Week 2
  • Deep Dive in Neural Network and Deep Learning
  • Quiz: 10 MCQ Questions
  • Case Study
Week 3
  • Advanced Neural Networks
  • Quiz: 10 MCQ Questions
  • Case Study
Week 4
  • Advance models for Images & Text
  • Quiz: 10 MCQ Questions
  • Case Study
Week 5
  • Advances in Natural Language Processing
  • Training vs Inference
  • Quiz: 10 MCQ Questions
  • Case Study
Week 6
  • Guidance on Project work by Mentors
Week 7
  • Guidance on Project work by Mentors
  • Mock Presentation of Projects to Mentors
Week 8
  • Individual Project Assessment
Assessment

Assessment Criteria

Assessment Component Weightage
Continuous assessment (MCQ Quizzes) 30%
Project Assessment 70%
Programme Completion Documents
testimonial

Certificate of Completion
by Hewlett Packard Enterprise

Admissions

Admissions to Applied Deep Learning internship are highly selective. Our selection criteria have evolved over the last 13 years to reflect characteristics embodied by our most successful interns or our global empathetic leaders. In addition to these criteria, we found successful interns display and articulate the following qualities: compassion, pursuit of excellence, are curious and dynamic, enjoy learning and strive to make an impact personally and professionally. Be prepared to talk about your accomplishments and how you have dealt with challenges when you apply.

Associates

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 ground-breaking new technologies, products, and services that change how businesses and individuals work and live. HPE has been a pioneer in Big Data analytics using Deep Learning.

HPE encourages real work that makes an impact, supported by the resources of a Fortune 50 company that collaborates with leading academics and research institutes worldwide. Participants apply insights, creativity, and problem-solving skills to a specific research question, examining and refining the topic to help discover new insights and solutions.

The advanced research in the field of deep learning & artificial Intelligence from Hewlett Packard Enterprise Education changes the world. They work hand-in-hand with students, bringing innovation roadmaps, integrating key technologies into existing solutions, and ensuring not only that we’re more agile and nimble in today’s competitive marketplace, but also accelerating how technology can drive R&D to commercialization.

HPE researchers and engineers are not only distinguished academically, but they’re also driven by wide-ranging curiosity and creativity and committed to real-world innovation.

So, if you have the mind of a scientist and the heart of an entrepreneur, and you dream of having a lasting impact on your field and our world, they will help you realize that dream!

Faculty Profile

Mr. Shantanu Pandey

Mr. Shantanu Pandey

Information & Communications Technology, Media & Information, Business & Management

Mr. Shantanu Pandey is a technology consultant who has worked on AI engines, systems, applications and portals for clients like TaxiForSure, OneIndia, CultureMachine, TableConnection, Canara Bank, HotWatch and more, with mix and match of tech. He has been training at NUS, Singapore for last 3 years conducting courses on AI, Machine Learning and IoT.

His passion for programming started at the age of six with C++ in the hope of developing games, and the awe of science has pushed him since then. After his stint with Microsoft, he got excited about the start-up ecosystem and eventually started his own company. He has also been associated with NUS and Corporate Gurukul and trained more than 10,000 students worldwide.

Shantanu's primary domains include Artificial Intelligence, Deep Learning, Machine Learning, Automation, Business, Entertainment, Fintech, Media, Services and Telecom.

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 ground-breaking new technologies, products, and services that change how businesses and individuals work and live. HPE has been a pioneer in Big Data analytics using Deep Learning.

HPE encourages real work that makes an impact, supported by the resources of a Fortune 50 company that collaborates with leading academics and research institutes worldwide. Participants apply insights, creativity, and problem-solving skills to a specific research question, examining and refining the topic to help discover new insights and solutions.

The advanced research in the field of deep learning & artificial Intelligence from Hewlett Packard Enterprise Education changes the world. They work hand-in-hand with students, bringing innovation roadmaps, integrating key technologies into existing solutions, and ensuring not only that we’re more agile and nimble in today’s competitive marketplace, but also accelerating how technology can drive R&D to commercialization.

HPE researchers and engineers are not only distinguished academically, but they’re also driven by wide-ranging curiosity and creativity and committed to real-world innovation.

So, if you have the mind of a scientist and the heart of an entrepreneur, and you dream of having a lasting impact on your field and our world, they will help you realize that dream!

Faculty Profile

Mr. Shantanu Pandey

Mr. Shantanu Pandey

Information & Communications Technology, Media & Information, Business & Management

Mr. Shantanu Pandey is a technology consultant who has worked on AI engines, systems, applications and portals for clients like TaxiForSure, OneIndia, CultureMachine, TableConnection, Canara Bank, HotWatch and more, with mix and match of tech. He has been training at NUS, Singapore for last 3 years conducting courses on AI, Machine Learning and IoT.

His passion for programming started at the age of six with C++ in the hope of developing games, and the awe of science has pushed him since then. After his stint with Microsoft, he got excited about the start-up ecosystem and eventually started his own company. He has also been associated with NUS and Corporate Gurukul and trained more than 10,000 students worldwide.

Shantanu's primary domains include Artificial Intelligence, Deep Learning, Machine Learning, Automation, Business, Entertainment, Fintech, Media, Services and Telecom.

Featured Review

Success Stories

Frequently Asked Questions

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

The programme will equip you in building Deep Learning solutions focused on industrial best practices. Starting with the mathematical foundations, you will master data engineering, data processing, building neural network models for Computer Vision and Natural Language Processing, optimizing and regularizing the models, and finally deploying them as user friendly AI solution.

Corporate Gurukul is organizing the online certified internship programme in association with subject matter experts from/certified by Hewlett Packard Enterprise (HPE) Education, Singapore.

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

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

Some of the highlights of the internship:

  1. LIVE Interactive Online sessions – Training on theory and core concepts
  2. In-session Assignments – Hands on lab exercises
  3. Project Work – Participants work on individual projects
  4. Project Presentation and Evaluation – All projects are presented and assessed by HPE Certified professional(s)

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

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 ‘Dates and Deadlines’ block in ‘Admissions’ section above.

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

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

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.

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

Any extensions 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.

  1. Certificate of Completion by Hewlett Packard Enterprise Education
  2. ‘Letter of Recommendation’ by Hewlett Packard Enterprise Education
  3. ‘Certificate of Achievement’ by Corporate Gurukul, Singapore co-signed by HPE Education

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

Which documents will I get after completion of this internship?

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

Issuance of the certificate will be at Corporate Gurukul’s discretion subject to:
a. Completion of all assignments and submission on time
b. 90% attendance during the internship

What skills will I acquire?

The skills which you will acquire are:

  1. Exploratory Data Analysis
  2. The Intelligent System
  3. Neural Network and Deep Learning
  4. Models for Images & Text
  5. Natural language processing

 

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

Zoom/ GoToMeeting installed on your laptop/desktop.

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

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

  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.

You are required to complete one project during the duration of the internship. This will be done individually.

The project presentations will be conducted at the end of the internship, The practise sessions are conducted with your Project Mentor on a weekly basis.

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

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

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 building Deep Learning solutions focused on industrial best practices. Starting with the mathematical foundations, you will master data engineering, data processing, building neural network models for Computer Vision and Natural Language Processing, optimizing and regularizing the models, and finally deploying them as user friendly AI solution.

Corporate Gurukul is organizing the online certified internship programme in association with subject matter experts from/certified by Hewlett Packard Enterprise (HPE) Education, Singapore.

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

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

Some of the highlights of the internship:

  1. LIVE Interactive Online sessions – Training on theory and core concepts
  2. In-session Assignments – Hands on lab exercises
  3. Project Work – Participants work on individual projects
  4. Project Presentation and Evaluation – All projects are presented and assessed by HPE Certified professional(s)

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

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 ‘Dates and Deadlines’ block in ‘Admissions’ section above.

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

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

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.

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

Any extensions 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.

  1. Certificate of Completion by Hewlett Packard Enterprise Education
  2. ‘Letter of Recommendation’ by Hewlett Packard Enterprise Education
  3. ‘Certificate of Achievement’ by Corporate Gurukul, Singapore co-signed by HPE Education

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

Internship Completion Documents

Which documents will I get after completion of this internship?

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

Issuance of the certificate will be at Corporate Gurukul’s discretion subject to:
a. Completion of all assignments and submission on time
b. 90% attendance during the internship

Learning Intervention

What skills will I acquire?

The skills which you will acquire are:

  1. Exploratory Data Analysis
  2. The Intelligent System
  3. Neural Network and Deep Learning
  4. Models for Images & Text
  5. Natural language processing

 

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

Zoom/ GoToMeeting installed on your laptop/desktop.

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

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

  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.

You are required to complete one project during the duration of the internship. This will be done individually.

The project presentations will be conducted at the end of the internship, The practise sessions are conducted with your Project Mentor on a weekly basis.

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

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

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





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