GRADSKEY Industry Skilling Program (GISP)

GRADSKEY Industry Skilling Program (GISP) - Foundation Certificate
Certification jointly by IIT MADRAS PRAVARTAK and GRADSKEY

2 semester, 4 months each
First Semester: Batches starting from Mar 2023 - Jun 2023
Saturdays only
Hybrid

Foundation
Medium

IIT Madras Pravartak is a department of Science and Technology Funded Organization Under National Mission on Inter-disciplinary Cyber Physical Systems, Govertment of India, and the Technology Innovation Hub of IIT Madras.

Overview Audience Syllabus FAQ Instructors IIT Mentor

First semester (GISP Semester 3 in the below picture) of this program has two parts:

First part is Data Structures & Algorithms, introduction to Data Science with Python for 45 hours,

And the Second part is Common Technology Foundation - SQL & MongoDB, Industrial Java Essentials for 15 hours.

Note: This fee is for the GISP 3rd Semester only. After registering to this program, send a mail to [email protected] with your name, email, mobile number to get enrolled into the courses with the GRADSKEY LMS Platform.

Fee for GISP Sem-4 (2nd semester of this program) would also be Rs.6,500/- including taxes, and that will be payable at the beginning of GISP 4th Semester (2nd semster of this program)

Cancellation request would not be accepted after 10% of the course attendance, and after 2 weeks of start of the course. On cancellation, fee would be refunded, detecting taxes, service charges on payment, if any.

This certification program is recommended for 2nd year Students of Engineering and B.Sc., who like to enter their career in IT/CS domain.

Product companies primary focus is on data structures & algorithms, and other foundational concepts. The common or in demand is DSA concepts with mix of OOPs, Database (both rational and non-rational), Distributed computing concepts. This will ensure and enable aspiring candidates to face interviews at ease when they go to 7th semester. The course objective is to prepare candidates to face interviews with confidence for software / hardware product companies, fintech, cloud & service companies.

Audience

This course is mainly tailored for Students. who are ready to enter into a corporate world in the near future.

Second year students of Mathematics, Electrical, Mechanical, Chemical, Computer Science, and other core branches of engineering, & Science, and MCA students.

Syllabus

Studens would be coached for problem solving skills including for competitive coding platforms.

This course is just not about learning the following topics, it's more about applying these concepts in different problem solving situations, and then further taking this to industrial applications. that's why it is called industrial skilling program. This is designed jointly by Industry Mentors, IIT Mentors, and GRADSKEY.

Course - 1: “Industry Coding and Problem Solving - Part 2” covers the following outlined topics:

• Introduction to Industrial coding practices – modular, structured, hierarchical, easily debug-able, multi-file multi-user development approaches, etc using C/C++ as programing language.

• Memory management – behind arrays, strings and other data types what happens.

• Problem solving with Pointers, Linked lists, Circular lists.

• Dynamic memory management – under the hood pointer references and its implications.

• Time and Space complexity analysis

• Problem solving with heaps, hash-maps, hashing techniques and its use cases.

• Problem solving with sorting and search algorithms and its use cases at basic level.

• Problem solving with Tree data structures, multiple variants of algorithms using it.

• Dynamic Programming (DP) concepts and tricks

• Introduction to Data Science using Python, mathematical and analytics libraries in python, data modeling and analysis.

Course - 2: “Industry Common Technologies” covers the following outlined topics:

• Data base concepts, RDBMS concepts, creation of basic structures

• MySQL basic functionalities – programming them to understand the use cases.

• NoSQL – MongoDB – objectives, use cases and programming with MongoDB functionalities for some scenarios.

• Industrial Java essentials – JDK installation and setup, JVM models, JVM memory management, Garbage collection

• Java/OOPs concepts

• Java programming using essential of data structures like type, control flow, loops

• Java programming with Arrays, String, Pointers, exception handling

• Basic programming tricks using Java OOPs – Encapsulation, Inheritance, Polymorphism, Abstraction.

FAQ

Is there any pre-requisite for this Course?

Prerequisites

Basic knowledge in any programming languages - C, C++ or Python

Will I get a certificate for this Course?

You will get a joint certification from IIT Madras PRAVARTAK and GRADSKEY after the successful completion of GISP Semester-3 and GISP Semester-4 courses for 120 hours together. This certificate would be signed by a IIT professor (Mentor) and IIT PRAVARTAK CEO and GRADSKEY CEO.

Fee for GISP Sem-4 (2nd semester of this program) would also be Rs.6,500/- including taxes, and that will be payable at the beginning of 2nd semester (GISP 4th Sem)

What is Skilling, How it is different from college lectures and lab sessions?

Skilling is application of the concept practically and repeat that with different techniques until get the hold of it.

GRADSKEY Coaches and Instructors will not only just teach the concept, and will solve problems with various real time scenarios, and then make the student apply the concepts with yet another different set of real time scenarios. This way, it is completely different from the college lab sessions and practicals.

Will I get access to the video of this Course?

Yes. You will get access to the video of this live interactive course lectures for replay. Videos are available for the next 3 years.

How this course would be delivered - Online or physical in-class?

If there are more than 50 students in one town/city, then there would be 50% physical classes on Saturdays, and rest of the 50% of the classes would be in online LIVE interactive mode.

In case there are only few students in one town/city, then 100% classes would be in online LIVE interactive mode.

Campus immersion @ IIT Madras: In a semester, two days of classes can happend at IIT Madras campus. Student has to make their own travel and stay arrangements. It is an optional one.

Instructors

Karthick Durai

Corporate Trainer and Data Scientist.

Karthick is a Data Scientist having 4+ years of professional experience, expert in python and machine learning libraries like scikit-learn, gensim, spacy. Good at SQL, Flask, html5, css3, bootstrap, working knowledge of vuejs. A very flexible and adaptable engineer, keen on learning constantly. Karthick is working as consulting architects and project lead in few projects. He has architected and delivered several Data Science projects, and helped out students to learn the essential industry skills.

Nilotpal Mrinal

Corporate Trainer and Machine Learning Engineer.

Nilotpal is an engineering graduate from National Institute of Technology. He loves mathematics and statistics and has done few projects with ML in big data and finance domains. He is an excellent articulator and problem solver. Skills include Algorithms and problem solving, MongoDB, AWS Cloud.

IIT Mentor

Dr. Ranganathan

Adjunct Professor at IIT Madras, Ex-Fellow at Honeywell

Dr. Ranganathan has done his PhD from Clarkson University, USA. With 25+ years of experience, he is skilled and experienced to ideate, research, implement, lead and build end to end products that use data driven models for providing insights, fault diagnosis, closed loop control actions. His Specialties are: Machine learning, Process Control, algorithm development, Advanced Process Control, Model Predictive Technology, Fault detection and diagnosis, Applied Optimization.