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Applied Deep Learning ONLINE INTERNSHIP

Applied Deep Learning - HPE 28.07

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Page 1: Applied Deep Learning - HPE 28.07

Applied Deep Learning

ONLINEINTERNSHIP

Page 2: Applied Deep Learning - HPE 28.07

13 years | 21 countries | 30+ cities | 15 nationalities40+ schools | 70+ universities | 150,000+ alumni50+ faculty | 200+ research scholars10+ applied learning programmes

Page 3: Applied Deep Learning - HPE 28.07

What we do?We deliver applied learning experiences through internships, immersions and research projects.

For whom?We work with students (13 years and above) from universities and secondary schools across Asia.

Why?To empower every individual with knowledge and skills to solve social and business challenges.

How?We partner with world’s top universities and corporates to create differentiated content and deliver curated applied learning experiences on-campus or online.

Page 4: Applied Deep Learning - HPE 28.07

OUR JOURNEY2007

Incorporated in Singapore.

2008Initiated employability skill assessment and training initiatives for 66,000 participants for Govt. of India.

2009 - 2010Over 20,000 undergraduates trained on life-skill in partnership with Infosys Technologies. Started training of polytechnic students in Singapore on IT domains.

In this ever-evolving world, Corporate Gurukul’sjourney is one of continuous growth andtransformation – from its birth in Singaporeto now spreading its wings to twentycountries across the globe. What started aslife skills enhancement and employabilitytraining interventions, has graduated intoglobal academic internships, immersions andresearch for school and university students.

2012 - 2013First immersion programme with National University of Singapore (NUS). Consolidation of India operations.

2014Operations extended pan India based out of Pune. Over 140,000 students trained and assessed since inception.

2015Launch of schools vertical with unique project-based research and innovation programme with NUS & NTU.

2017Partnership with Carnegie Mellon Robotics Academy to deliver STEM education for school students and teachers.

2020Launch of ONLINE internships in DeepLearning, Entrepreneurship andCommunity Leadership with NUS, HPE and SoftBank.

2016Launch of academic internships for engineering undergraduates in Big

Data & AI in partnership with NUS & Hewlett Packard Enterprise (HPE).

2018India HQ shifted to Bangalore.

Dubai operations launched to addressrequirements in Middle East markets.

2011First immersion programme for

management graduates deliveredwith Nanyang TechnologicalUniversity (NTU), Singapore.

Page 5: Applied Deep Learning - HPE 28.07

WHAT MAKES US DIFFERENT

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• Forbes 30 under 30 entrepreneurs• Research Experts from NUS and NTU• Big Data, AI and Deep Learning experts from our

industry partners

new content as benchmarked with universities in Asia

80%

100%relevance to global perspectives on Future of Work

90%

focused on future research in AI and Deep Learning

90%relevance tofuture careers

aligned to Industry and Masters abroad

95%

World's largest technology-focused venture capital fund

World #11 (QS World University Rankings 2021)

World #13 (QS World University Rankings 2021)

World leader in infrastructure to power AI with Big Data

World leader in e-commerce, cloud computing, digital streaming and AI

Page 6: Applied Deep Learning - HPE 28.07

A POWERFUL ONLINE LEARNING EXPERIENCEOnline LIVE sessions with top-notch instructors combined with ongoing practice on our engaging Learning Experience Platform (LXP) makes learning fun! Online internships pave the way for our deep-dive on-campus internships, research and applied learning experiences.

INSTRUCTOR-LED SESSIONSEnsure a track record of 95% course completion with interactive instructor-led sessions.

ENHANCED LEARNINGEnables 2x retention with 4x practice sessions over 8-week project work.

COURSE FEECosts 50% lesser than on-campus programme with similar content and instructors.

ON-CAMPUS INTERNSHIPSSubsidized by 10% or more if you have taken our online internships.

CERTIFICATIONS AND LORSRecognize your efforts. Toppers receive LoRs from industry and academic partners.

CONVENIENT SCHEDULEEnabled through 3-hour weekend instructor-led sessions from your home or dorm room.

ONLINEINTERNSHIP

Page 7: Applied Deep Learning - HPE 28.07

ONLINEINTERNSHIP

Applied Deep Learning

Change the WorldAt 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.

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 road-maps, 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!

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.

Page 8: Applied Deep Learning - HPE 28.07

The Applied Deep Learning with HPE Education has been launched for the first time in Asia.

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 solutions.

Get MentoredYou get mentored by professionals from HPE, Deep Learning experts and mentors to develop skills required to pursue research or a career in Deep Learning.

ExploreYou explore how industry leaders are innovating solutions and improving efficiency through industry best practices using AI, Machine Leaning and Deep Learning.

A Global CommunityYou will also to tap into a global community of experts across technology, innovation and data science. The end outcome will be your Deep Learning prototype.

What makes this programme unique?This internship equips you with the foundations of Artificial Intelligence and Machine Learning, with special focus on Deep Learning. Best practices in managing deep learning projects are shared. Hands-on sessions in Python, TensorFlow and Keras enhance the conceptual understanding.

Along with masterclasses taught by industry leaders, you will look forward to a curated series of case studies from our leading industry partner, HPE Education.

Duration 8 weeks

Timeline Throughout the year

Fee Check Website

Diversity University undergraduates across Asia

ONLINEINTERNSHIP

Applied Deep Learning

KNOWOnline LIVE

Sessions

PRACTISEProject Work

andCase Studies

PERFORMBuild and Present

viable Deep Learning solutions

REFLECTMentorship

and Feedbackon Prototypeand Project

THE CORPORATE GURUKUL LEARNING MODEL

Page 9: Applied Deep Learning - HPE 28.07

• Exploratory Data Analysis

• The Intelligent Systems

• Neural Network and Deep Learning

• Models for Images & Text

• Natural Language Processing

KEY SKILLS YOU AQUIRE

ONLINEINTERNSHIP

Applied Deep Learning

Page 10: Applied Deep Learning - HPE 28.07

ONLINEINTERNSHIP

LEARNING GOALS

• Setting up the Environment and Getting Started

• Cleaning Data• Feature Engineering• Data Strategy and Exploratory

Data Analytics• Types of AI• The Data Science Ecosystem

• The Scary Maths behind Neural Network• Designing a Neural Network from Scratch• Exploring Tensor Flow and PY Torch

• 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

EXPLORATORY DATA ANALYSIS & THE INTELLIGENT SYSTEMS

DEEP DIVE IN NEURAL NETWORK AND DEEP LEARNING

ADVANCED NEURAL NETWORKS

ADVANCED MODELS FOR IMAGES & TEXT AND ADVANCES IN NATURAL LANGUAGE PROCESSING

TRAINING VS INFERENCE

Applied Deep Learning

Page 11: Applied Deep Learning - HPE 28.07

ONLINEINTERNSHIP

Applied Deep Learning

Animal Classification using CNNThe project was to educate new pet owners about maintaining their pets. To notify pet owner about particular breed using Animal recognition with Deep CNN. It uses data mining technique to notify NGO’s and people interested in adopting them. This results in decreasing the no’ of animals in animal adoption centers.

Students: Balaji U - PSG College of TechnologyPrerna Agarwal - Kalinga Institute of Industrial Technology Sneha Kharbanda - VIT University Ridhima Akshantulu- Rajiv Gandhi Institute of TechnologyNikhil Shaji - Punjab Engineering CollegeSupratik Bhattacharya - VIT University

Abnormality Detection of Musculoskeletal RadiographsThe project aims at developing a Machine Learning algorithm for real clinic utility. How doctors can choose right valid diagnosis using X-ray that contains a lot of information regarding the structure of the bones and their body. This is carried out using Deep learning techniques based on convolution networks

Students: Praveena K - IIITDM KancheepuramYash Bhojwani - VIT University Abhishek Choudhary - Manipal University Jaipur Sweta Nayak - SRM Institute of Science and Technology Shruthi VS - SRM Institute of Science and Technology Malvika Rath - VIT UniversityAnvi Khanna - Manipal University Jaipur

Medical ImagingIt helps doctor in the diagnosis of diabetic retinopathy to make better decisions in lesser time. It trains dataset on a set of fundus images showing diabetic and non-diabetic eyes. They build and optimise network to detect samples that need immediate medical attention, and classify into 2 classes to indicate the health and level

Students: Karthikeyan S - IIITDM KancheepuramArudhra Narsimhan - SASTRA UniversityHarshit Kaushik - Manipal University JaipurBhumika Bhatia - Delhi Technological UniversitySaurabh - SRM Institute of Science and Technology Sanjay S - VIT University

AutoScanAutoScan is used to detect number plate of a car and help us gather information about the car and the driver. License plate recognition is done using image-processing innovation. It can be used to get vital information such as whether or not the vehicle is registered, date of vehicle registration, expiry date, driver information, etc.

Students: Vaibhav Tamta - Punjab Engineering CollegeAkshit Kanwar - SRM Institute of Science and Technology Ujjal Sharma - BITS Pilani, GoaMedhini Sridhar - Shiv Nadar UniversityTarun - IIITDM KancheepuramShilpi Agarwal - BITS Pilani, Goa

Project Case Study Examples

Page 12: Applied Deep Learning - HPE 28.07

ONLINEINTERNSHIP

Applied Deep Learning

“It was an eye-opener for me. It enhanced my understanding of one of the hottest topics like Deep Learning in the current industry and gave me the necessary push to go ahead and exploit the bright opportunities in this field. Combining industrial exposure with valuable academic inputs and add to all this, a competitive environment, I think this internship is a game-changer.”

Ashwin Soorya Electronics and Communication EngineeringVIT University, Vellore

“It was a great experience for me, and far beyond my expectations. The diversity of people from different institutions, and the impressive curriculum, gave me tremendous inspiration and insight in the subject. Through the various sessions, assessments, and discussions with HPE professionals have been able to take a big step forward in developing my technical abilities and aspirations”.

Shrikant TarwaniComputer Science Engineering LNM Institute of Information Technology, Jaipur

“This Internship is the perfect balance of theory and practical application. Coming from a beginner’s level, I felt that the instructor/professor was accommodating towards all levels of previous knowledge that a student may hold on the subject. It was truly a worthwhile experience and I hope to apply whatever I’ve learnt and further my knowledge through projects of my interest. Kudos to Team CG!”

Mahima Borah Information Technology Manipal Institute of Technology, Manipal

“I wish to do masters from a foreign university and this internship gave me a taste of what that might be like. Additionally, learning from the professionals from HPE was an amazing experience in itself. I have rarely seen people that committed to their profession.”

Abhay Tyagi Software Engineering SRM Institute of Science and Technology, Chennai

Page 13: Applied Deep Learning - HPE 28.07

PROGRAMME SCHEDULE

ONLINEINTERNSHIP

Applied Deep Learning

WEEK

01Session 1Introduction to Python

Breakup for every LIVE Session:Concepts: 60 mins | Case Study: 60 mins | Quiz: 60 mins

Teams will be required to work on Individual projects post every session.

Saturday2:00-5:00 PM IST Case Study

Solving Linear Algebra in Tensor Flow

Case StudyImage Classification: for b&w image dataset (pre - feature engineered)

3 Hours

3 HoursSession 2Deep Learning Introduction

Wednesday6:00-9:00 PM IST

Saturday2:00-5:00 PM IST

3 Hours

3 HoursWednesday6:00-9:00 PM IST

Friday2:00-5:00 PM IST

3 Hours

3 HoursWednesday6:00-9:00 PM IST

Saturday2:00-5:00 PM IST 3 Hours

3 HoursWednesday6:00-9:00 PM IST

Saturday2:00-5:00 PM IST 3 Hours

3 Hours

5 Hours

5 Hours

5 Hours

Wednesday6:00-9:00 PM IST

WEEK

02Session 3Mathematics and Stats

Session 4Neural Networks

Case Studya. RegularizationTechniques: Early Stoppingb. Cancer Analysis topredict severity

WEEK

03Session 5Deep Dive Into Networks

Session 6Regularizing a Model

Case StudyObject Detection on coloured images (image feature engineering included)

WEEK

04Session 7Data Encoding Techniques

Session 8Convolutional Neural Network & Computer Vision Apps

Case Studya.Sentiment Analysison movie reviewsb.Time Series Analysisfor sales forecasting

WEEK

05

WEEK

TO

06WEEK

08

Session 9Recurrent Neural Network & NLP

Session 10Pre-trained Models and Transfer Learning & Deploying Model

Session By Mentors 10:00 AM IST onwards

5 HoursSession By Mentors 10:00 AM IST onwards

Final session-1 (Assessment)

11:00 AM IST onwards

Final session-1 (Assessment)

11:00 AM IST onwards

Page 14: Applied Deep Learning - HPE 28.07

REGISTRATION PROCESS

ONLINEINTERNSHIP

SelectionWe will scrutinize your application on the basis of CGPA, Projects/Courses done relevant to Deep Learning (if any).

Offer LetterIf you are selected, you will receive an Offer Letter. You will be required to ACCEPT the Offer Letter.

Internship Fee Payment We will send you an invoice link for the Internship Fee payment. This is enabled through PayPal/Credit Card.

Admission Letter Hooray! Your admission will be confirmed via an Admission Letter.

Create your account and fill up the online application form.

Apply Now

Page 15: Applied Deep Learning - HPE 28.07

LEARNING FOR LIFE

GET COUNSELLED by our Experts

GAIN fundamental skills and start learning through online LIVE internships with NUS, HPE and SoftBank.

Become a PRO and specialize with our on-campus experiential internships with NUS, NTU and HPE.

ENGAGE and GIVE BACK to the community through our unique Alumni Initiatives:

• Build your own brand• Conduct online programmes on

our Learning Experience Platform• Mentor on Research Projects/

Higher Ed/Internships

START DISCOVERING programmes on our website.

SUBSCRIBE to our mailing list to receive updates on domain specific industry and higher education trends.

ATTEND WEBINARS and WORKSHOPS by industry experts, Forbes 30 under 30 entrepreneurs, students from Ivy League universities.

GET ACCESS to our carefully curated case studies, success stories and

insightful blogs on higher education/ careers.