Those who learn how to make machines that exhibit intelligence today are tomorrow going to lead the next technological revolution, be part of the most cutting-edge companies and stand a chance to disrupt almost all industries through their skillsets.
Through this highly rigorous and selective PG program we will help you:
Learn Classification Algorithms, Deep Learning, Reinforcement Learning and Graph Models
Create intelligent solutions such as Traffic analytics, medical imaging etc.
Faster Payments with Credit Card, Debit Card, Net Banking
no cost emi
No Credit Card required
flexi emi payment
Payable in flexible Months(upto 3 years)
No credit card required
Learn by Application
Learn from our comprehensive collection of case-studies, hand-picked by industry experts, to give you an in-depth understanding of how Deep Learning impact industries like telecom, Automobile, Finance & more.
Build and deploy an automatic traffic analytic system that identifies hit & run vehicles on the road
Diagnose illnesses using deep neural networks build on medical images such as MRI, X-Rays, CT Scan, etc
Telecom Churn Prediction
Use unsupervised and supervised deep learning models to predict which customers will switch to another telecom provider.
Learn from the best Deep Learning Leaders
This program has been designed in collaboration with some of the most influential analytics leaders and top academicians in Deep Learning.
Prof. S. Sadagopan
Head - Analytics, AVP Strategy
Dean - Academics
Professor and Dean (R&D)
Ex - AVP, Decision Sciences
Anshuman Gupta, PhD
Director - Data Science
Dinesh Babu Jayagopi
Sr. Data Scientist
The curriculum has been developed by IIIT Bangalore and Deep Learning companies. This program will teach you end to end skills - a thorough understanding of fundamental concepts and thinking beyond tools.
In this course you will be exposed to the different platforms used for processing Deep Learning. Additionally you will also learn how to set up a virtual machine for processing Deep Learning on your own computer as well as on the cloud.
Distributed Computing Environment for Deep Learning
NoSQL databases for Deep Learning Storage Applications (HBase)
Distributed Processing of data using MapReduce & Pig
In-memory distributed processing using Apache Spark
Data Storage on Cloud (Amazon S3 & Dynamo DB)
You will be able to perform batch processing operations on Deep Learning on your own computer as well as on an Amazon EC2 instance. You will be able to retrieve and store data in HDFS & Hbase using MapReduce & Apache Pig
Tools & Technologies Used: Hadoop, HBase, Apache Pig, Apache Spark, Amazon S3 & Dynamo DB
This a industry-relevant yet academically-rigorous 6 month program covering Deep Learning concepts. It is specifically designed for working professionals with Math/Software Engineering/Statistics/Analytics backgrounds to help them gain practical knowledge and accelerate entry into Advanced Data Science and Deep Learning roles.
Data Scientist or Senior Data Analysts: If you are comfortable with data wrangling, have implemented statistical or deep learning models in past and have spent at least 2 years as a working professional. You should also have some experience with R/Python/ Scala.
Statistician: If you received formal education in statistics or mathematics and have at least 2 years of working experience.
Data Engineer/Big Data Engineer: If you have at least 2 years of experience in creating data pipelines /handling data warehouses and you have created ETL procedures. In addition you should be familiar with various frameworks and tools like Hadoop and Spark.
Software Developers: If you have worked on creating and deploying softwares/apps for at least 4 years, you are comfortable with object oriented programming and know C/C++/Java/Python or a similar language.
The program will benefit you different ways depending upon your prior experience:
Data Scientist or Senior Data Analysts: The program will familiarize you with advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Deep Learning role.
Statistician/ Mathematician: Apart from familiarizing you with advancements in ML and AI, the program will help you understand how to define a structured approach to solve a business problem, and equip you will the right tools so that you can transition to a Deep Learning or a Data Science role.
Data Engineer/Big Data Engineer: The program will set up a solid foundation of statistics, Deep Learning along with problem solving skills so that you can solve enterprise level problems. It will build upon your existing knowledge of various tools to make you a full stack Deep Learning or Data Science professional.
Software Developers: The program will help you create a strong foundation of statistics, deep learning and business understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Deep Learning professional.
This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages and understanding of cutting-edge algorithms and applications.
This program is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, Deep Learning along with a solid foundation of Statistics. This program demands consistent work and time commitment over the entire duration of 6 months.
This program is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed in Senior Data Scientist and Deep Learning/AI roles. Our PG program in Data Science Program is aimed at facilitating the transition of professionals to the Data Science field.
The content will be a mix of asynchronous lectures from industry leaders as well as world renowned faculty. Additionally the program comprises some live lectures or hangout sessions dedicated to solving your academic queries and reinforce learning.
UpGrad, IIITB, world renowned faculty and many industry leaders have committed a lot of time in conceptualizing and creating this program to make sure that the candidates can receive the best possible learning experience. Hence we want to make sure that the participants of this program also show a very high level of commitment and passion towards Deep Learning
The applicants will have to take a selection test designed to check their mathematical and programming abilities. The applicants can skip the test if they meet the following criteria:
Post-Graduate in Mathematics/Statistics with 60% in graduation and more than 2 years of total work experience
Refund: As per UGC guidelines, student can ask for a refund anytime before start of the program. Rs. 1000 + 2% payment gateway charges would be deducted for the same. Post the issue of logins (i.e. start of the program), no refunds will be processed.
Deferral: If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student defer to another batch. Student can request for deferral ONLY ONCE and to either of the next 2 scheduled cohorts of the same program. Student will be required to pay a deferral fees of 10% of program fees + ST. The deferral request will be approved once the deferral fees is paid. Till this is completed, the student will be assumed to be continuing in the same cohort. Student will start learning on the new cohort from the point of leaving the deferred cohort. If, however, the deferral request is raised before the issue of login - 10% deferral fees will not be charged and student will be deferred to the next scheduled cohort.
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