The AI market will grow to a $190 billion industry by 2025, according to research firm Markets and Markets
Organizations today operate in a world surrounded by data and data that is understood and analyzed smartly can play a pivotal role in determining the success of an organization. Data Science, through its various inherent tools and techniques, is successfully adding value to all the business models by using statistics and deep learning to make better, relevant and timely decisions. Understanding the dynamics of data and knowing how to deal with data has therefore become a critical skill in an organizational context. No wonder that Harvard Business Review has termed Data Scientist as the Sexiest Job of the 21st Century!
The objective of this program is to introduce participants to the intricacies of data science and artificial intelligence and techniques of machine learning. This course will expose participants to hands on experience of popular and in-demand tools in the DS and AIML areas and has been designed with an intention to impart practical problem solving skills to participants which in turn will enhance prospects of career growth in this sunrise domain.
Certificate of Completion and Alumni Status
On successful completion of the course, earn a Certificate of Completion and Alumni Status
Learn from the Eminent Faculty of IIIT Allahabad
Lectures imparted by eminent faculty from IIIT Allahabad and Subject Matter Experts
Hands-on Practical Exposure
Programming languages and tools covered include Python, Scikit Learn, Tensor Flow etc.
Career Coaching & Job Search Support
3.5 Months Long Individual Career Coaching and Job Search Support
A highly extensive project requiring the participants to apply all of their learning to practical use
6 Days of On-Campus Immersion Modules
Two Campus Immersion modules of 3 days each, at the commencement and culmination of the program
Practical Approach towards Learning
Course completely oriented towards imparting practical and application oriented knowledge through walkthroughs, demonstrations and class exercises to develop hands on skills
RightCareerEdge by Right Management
As a part of this course, avail 3.5 month long personalized career advancement services including job search support from Right Management (a Manpower Group company).
Who should attend
- For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline
- For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country
- Minimum of 4 years of work experience
- Mathematics or Statistics as a subject in Class XII or Graduation
- Formal education in or knowledge/experience of at least one programming language
- This course is entirely hands-on and so it is recommended, though not a necessity that students have two devices (laptop/desktop) – one to follow the lecture, and the other for hands-on practice alongside during the class.
Dr. Manish Kumar
Dr. Manish Kumar has completed M.Tech(CS) from BIT Mesra and got Ph.D. degree from Indian institute of information Technology, Allahabad, Prayagraj, India on topic” Data Management in Wireless Sensor Networks. Presently he is working as an Associate Professor in Department of IT, IIIT-Allahabad. He is coordinator of research lab Data Analytics Laboratory (DAL) at IIIT-A. His research interest includes Data aggregation, data processing, inference, Compressive sensing in WSNs & big data analytics.
Prof. Shekhar Verma
Prof. Shekhar Verma received the Ph.D. degree in computer networks from the Indian Institute of Technology (BHU), Varanasi, India, in 1993. He is currently working as a Professor (IT) with the Indian Institute of Information Technology, Allahabad, India. His research interest includes machine learning, computer networks, wireless sensor networks, wireless networks, information and networks security, vehicular technology, and cryptography.
Dr. Pritish Kumar Varadwaj
Dr. Pritish Kumar Varadwaj received his Ph.D. in Information Technology from the Indian Institute of Information Technology-Allahabad, India in the year 2009 and currently working as an Associate Professor at Indian Institute of Information Technology-Allahabad, India. His main research interests are in the field of Machine Learning & Big Data Analytics on Biological Data, Molecular Modelling, Cheminformatics and Stringology.
Dr. Satish Kumar Singh
Dr. Satish Kumar Singh is with the Indian Institute of Information Technology Allahabad India, which is declared as an Institute of National Importance by Government of India as an Associate Professor at the Department of Information Technology from 2013. Before joining the IIIT Allahabad, he served the Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology Guna, India from 2005 to 2012. He is having about 14 years of academic and research experience in various capacities at JUET Guna and IIIT Allahabad. Presently he is heading the Computer Vision and Biometrics group and in-charge of the Computer Vision and Biometrics Lab (CVBL) at IIIT Allahabad from 2015 onwards. His group is greatly involved in the research and development of the Signal & Image Processing, Vision, and Biometrics algorithms, and system. His areas of interest include Image Processing, Computer Vision, Biometrics, Deep Learning, and Pattern Recognition.
Dr. Venkatesan Subramanian
Dr. Venkatesan Subramanian is an Associate Professor in the Department of Information Technology, Indian Institute of Information Technology Allahabad. He received Ph.D. in 2010 from the Department of Computer Science and Engineering at Anna University, Chennai, India in the area of Mobile Agent Security. He has published more than 20 papers in reputed International Journals and Conferences. His current research interests includes Blockchain technology, Network and Information Security. His teaching interest includes Compiler Design, Computer Networks, Blockchain and Cryptocurrency and Database Security.
Dr. Neetesh Purohit
Dr. Neetesh Purohit is an Associate Professor at IIITA Prayagraj. His research and development work in the fields of wireless communications, ICT and DSP has significant involvement of the principles of statistics.
Dr. Krishna Pratap Singh
Dr. Krishna Pratap Singh is an Associate Professor at Department of Information Technology, Indian Institute of Information Technology Allahabad. Prior to this he worked as an Assistant Professor (2013-2018), and Lecture (2009-2012) at IIIT Allahabad. He did PhD & Master from IIT Roorkee in 2009 & 2004 respectively. He is heading Machine Leaning & Optimization Lab at IIITA. His teaching & research interests are Machine learning, representation learning, Transfer Learning & Optimization.
Certificate of Completion for participants successfully passing the evaluation criteria. Certification of participation for the rest.
Live & Interactive Digital Learning
Live tutored classes not recorded sessions
Case study learning
Hands-on learning using case studies, projects and simulations
Convenient class schedule
Scheduled classes at convenient timings for working professionals
One on one interactions
All classes are delivered live by the eminent faculty encouraging interactive discussions and query resolution
Mobile platform enabled
Seamless learning on all screens; desktop, laptop, tabs & mobiles through app and browsers
Classroom based learning
Interactive in session peer to peer and with faculty discussions for in-depth learning against isolated learning of recorded sessions
Dedicated Career Advancement Services Team
Leverage innovative strategies for high career growth from Right Management (a ManpowerGroup company)
The delivery would comprise a judicious mix of live virtual lectures, discussions, case studies and experience sharing through peer discussions. The course design is oriented to facilitate learning through association of the various management concepts and its application in the business world. Across different modules, participants may be encouraged to apply or relate their in-class learning to live situations at work, peer learning therefore would be a key pillar of the process. Take-home projects may be assigned in certain modules.
All enrolled students will also be provided access to our SLIQ Cloud Campus through which they may access other learning aids, reference materials, assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to reach out to the professors, real time during the class or offline via our SLIQ Cloud Campus to raise questions and clear doubts.
Evaluation methodology is the discretion of the faculty. The methodology includes module based assessments, class contribution, capstone project and any other component as decided by the respective course faculties. Additionally, faculty may choose to conduct a pre-assessment prior to the commencement of certain modules, to ascertain participant readiness to progress further. Basis analysis of the pre-assessment, an individual participant may be required to undertake some refresher/self-study on certain basic areas to help better cope and comprehend the programme contents.
A minimum of 75% attendance to the live classes is a prerequisite for the successful completion of this program. The programme may require participants to work on individual/group assignments and/or projects. The main objective of such assignments/projects will be to help the participants apply their conceptual learning in the programme to actual/real life scenarios. Participants who successfully complete the evaluations and satisfy the requisite attendance criteria will be awarded a certificate of completion. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a participation certificate.
RightCareerEdge is a personalized career advancement service offered by Right Management, India. Established in 1980, Right Management is a global career expert with 40 years of experience in career management and talent strategy. During this time, Right management has put 40,000 people to work every day, conducted over 12 million interviews per year and successfully transitioned more than three million people into new roles. In today’s competitive world, it is critical to constantly evolve in one’s career by deploying innovative career strategies that help an individual achieve his/her career goals. Right Management’s extensive research suggests that majority of job seekers are unclear about their career aspirations & paths and how to achieve them. Our extensive research also unfolds a set of critical parameters for an individual to achieve high career growth. RightCareerEdge has been specifically curated to support professionals to excel in their careers.
Established in 1999, as a center of excellence in Information Technology and allied areas. Institute was conferred the Deemed University status by Govt. of India in the year 2000.
In 2014 the IIIT Act was passed, under which IIITA and four other Institutes of Information Technology funded by the Ministry of Human Resource Development were classed as Institutes of National Importance.
IIIT-Allahabad was ranked 119 in BRICS nation by the QS World University Rankings of 2019. Among government engineering colleges in India, IIIT-Allahabad ranked 10th by India Today in 2019 and 18 by Outlook India in 2019. It was ranked 82 among engineering colleges by the National Institutional Ranking Framework (NIRF) in 2019. IIIT-A is very famous for its placements and coding culture.
Data scientists must know how to code – start by learning the fundamentals of one of the most popular programming languages – Python.
- Basics of Python
- Conditional and Loops
- String and List Objects
- Functions & OOPs Concepts
- Exception Handling
- Database Programming
Once you have the core skill of programming covered– dip your feet in the nitty – gritties of working with data by learning how to wrangle and visualize them.
- Reading CSV, JSON, XML and HTML files using Python
- NumPy & Pandas
- Relational Databases and Data Manipulation with SQL
- Scipy Libraries
- Loading, Cleaning, Transforming, Merging, and Reshaping Data
It is impossible to use data without knowledge of statistics. Collect, organize, analyze, interpret, and present data using these concepts of statistics.
- Descriptive Statistics & Data Distributions
- Probability Concepts and Set Theory
- Probability Mass Functions
- Probability Distribution Functions
- Cumulative Distribution Functions
- Modeling Distribution
- Inferential Statistics
- Hypothesis Testing
- Implementation of Statistical Concepts in Python
Machines have increased the ability to interpret large volumes of complex data. Combine aspects of computer science with statistics to formulate algorithms that help machines draw insights from structured and unstructured data.
- Building Models Using Below Algorithms
- Linear and Logistics Regression
- Decision Trees
- Support Vector Machines (SVMs)
- Random Forests
- K Nearest Neighbour & Hierarchical Clustering
- Principal Component Analysis
- Text Analytics and Time Series Forecasting
Complex data sets call for simple representations that are easy to follow. Visualize and communicate key insights derived from data effectively by using tools like Matplotlib.
- Interactive Visualizations with Matplotlib
Go beyond superficial analysis of data by learning how to interpret them deeply. Use deep-learning nets to uncover hidden structures in even unlabeled and unstructured data using TensorFlow.
- Basics of Neural Network
- Linear Algebra
- Implementation of Neural Network in Vanilla
- Basics of TensorFlow
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Models
- Semi-supervised Learning using GAN
- Seq-to-seq Model
- Encoder and Decoder
Lastly, manage your infrastructure with a data engineering platform like Spark so that your efforts can be focused on solving data problems rather than problems of machines.
- Introduction to Big Data & Spark
- RDD’s in Spark, Data Frames & Spark SQL
- Spark Streaming, MLib & GraphX
This program includes two on-campus components of 3 days each which will take place at IIIT Allahabad campus. On Campus session 1 will be held in early January 2021 and On Campus Session 2 will take place in early June 2021. The dates for On Campus sessions will be communicated in due course. Attendance to On Campus Component is mandatory for all participants of this course.
|For Indian Residents||
Rs. 142,500+ GST*
Payment Deadline: 21/05/2020
|For International Students||
Payment Deadline: 21/05/2020
|1st Instalment||2nd Instalment||3rd Instalment||4th Instalment|
Rs. 35,000 + GST*
Payment Deadline: 21/05/2020
Rs. 30,000 + GST*
Payment Deadline: 14/09/2020
Rs. 40,000 + GST*
Payment Deadline: 05/01/2021
Rs. 37,500 + GST*
Payment Deadline: 05/04/2021
All applications for this course must be made through an Online Application Form.
In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the Application Form. If you have opted to pay the Application Fee/Instalments of the Fee though Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “Arrina Education Services Private Limited” payable at Mumbai and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, Course Name and Contact number at the back of your Demand Draft/Pay Order.
All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to.
Student Relations Manager,
21, Institutional Area, Sector 32,
Gurgaon 122001, Haryana, INDIA.
The program fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows.
- A Late fee of Rs.1000 + Tax will be charged to the Participant, if the instalment is paid within 7 days from the due date published on the instalment schedule.
- A Late fee of Rs.2500 + Tax will be charged to the Participant, if the instalment is paid between 8 days from the due date to within 14 days from due date as published on the instalment schedule.
- If the Fee Instalment is not received within 14 days from the due date, then the Participant shall be considered a dropout and a Rejoining Fee of Rs.5000 + tax will be charged to the Participant if the Participant wishes to continue with and complete the program and rejoining can be accommodated as per program guidelines.
Cancellation by the Participant
- Requests for refund of fees on account of cancellation of enrolment shall be considered only if such requests are received prior to closure of registration or 21 days before date of course commencement whichever is earlier.
- In event that such valid requests for refund of fees are received, the application money shall be refunded after deducting a penalty of Rs.5000 and applicable taxes for Indian participants & USD 125 for foreign participants.
- In all other cases, no refund shall be made.
- A participant may opt for rescheduling to a later batch of the same program / another program of prior to commencement of the program. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the program. The amounts paid by the participant shall be considered as advance payment towards the next batch / alternative program. Further, the participant shall have to pay an administrative charge of Rs.5000 plus applicable taxes (Indian participants) or USD 125 (foreign participants) for facilitating such rescheduling.
Cancellation by the Talentedge & Institute
Talentedge & the Institute, reserves the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or the Institute cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.
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