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IIT Jodhpur | Postgraduate Diploma in Data Engineering & Cloud Computing

India's first Online PG Diploma with Academic Credit

Course Snapshot
  • FeeINR 2.99 Lakhs
  • Work Experience2+ Years
  • Duration12 Months
  • Delivery MethodOnline
Course Detail

Program Overview

In this is 12-month PG Diploma from IIT Jodhpur (100% LIVE online classes), the students are expected to master the key technologies involved in generating insights from data that solve the complex social and business challenges of today's world. This program , the students will imbibe the technologies and methodologies to manage the complete lifecycle of a data engineering project - from big data collection to insight generation using machine learning techniques.

Also, they will deploy models on the cloud to gain real-world experience in developing, deploying, and administering data applications on the cloud. A capstone at the end of the program will help crystalize the students' knowledge where will showcase their mastery over tools and technologies of data and cloud, and prove they are ready to face any challenges in the industry.

Developed by IIT Jodhpur in collaboration with Wiley Innovation Advisory Council's innovators and industry proponents, the 12-month intensive program weaves together academic lectures from top faculty from IIT Jodhpur, hands-on practical sessions conducted on state-of-art technology labs led by Wiley's Industry Experts, assignments, and a capstone project to provide as experiential learning in Data Engineering with a focus on Cloud Computing.

Who Should Attend

● If you are aspiring for a high-growth career in Data Engineering and Cloud Computing, this program provides you with the right knowledge, tools, prestigious IIT PG Diploma credential, to help you succeed.
● For aspiring and current software, and technology professionals, this PG diploma program helps hone high in-demand skills such as big data engineering, cloud computing, and machine learning.

Program Highlights

● Work in Python environment, read data into data structures, read-write into files, clean and analyze data to obtain valuable insights.
● Design databases, and views using adhering to modern database management principles.
● Understand and explain big data, characteristics, concepts, life-cycle, and ecosystem, and technical understanding of data structures for Big Data.
● Design and implement appropriate storage and processing technique for every type of big data.
● Develop a cloud deployment strategy for a big data application and implement it successfully.
● Use supervised and unsupervised learning techniques to derive insights from big data.

Desired Candidate Profile

The eligibility criteria prescribed below are the absolute minimum with no possible exceptions. The general eligibility criteria for admissions is as follows:

● The applicant must have a bachelor's degree in engineering or science (4-year program) or a master's degree in science, MCA or in a related field.
● A minimum of 50% marks in UG/PG or a minimum CGPA of 5.0 on a scale of 10 with corresponding proportional requirements when the scales are other than 10
● The applicant must have a minimum of two years of work experience (after qualifying degree) in industry/R&D laboratories/Academic Institutions at the time of registration to the program. The applicant must qualify for the written test conducted by IIT Jodhpur or its appointed partner

Course Modules

Semester I
● Linear Algebra for Big Data
● Statistics for Data Engineering
● Python Programming
● Databases and SQL Programming
● Fundamental of Cloud Computing
● Big Data Systems and Platforms

Semester II
● Big Data Retrieval and Integration
● Big Data Management
● Machine Learning with Big Data
● Fundamentals of Distributed Systems
● Mini Project

● Retail Analytics
● People Analytics
● Financial Analytics
● Digital Financial Services
● Digital Marketing Analytics
● Social Media Analytics
● Qualitative Analytics for Business

Tools & Technologies
● Python
● Hadoop
● Amazon EC2
● Hive
● Apache
● Amazon Redshift
● Sqoop
● Amazon SageMaker
● Nosql-net
● Sql
● Spark
● Flume