IBM & Kalinga University Collaboration

IBM Innovation Centre for Education (IBM ICE) is a ‘unique global initiative’ by IBM, to offer much needed applied information technology knowledge to graduating students, in various dominant and futuristic technology areas.

IBM ICE’s cutting-edge programs shall be delivered in collaboration with Kalinga University with IBM as the ‘Knowledge Partner for emerging technologies and Kalinga University acting as the Academic Partner. IBM ICE Programs on Emerging Technologies are extremely intense and delivered face-to- face in conjunction with IBM’s futuristic online delivery platform- ‘Industry-Academia Collaboration Framework’.

This novel approach ensures that deep applied knowledge is delivered to students through broad-based industry alignment & interactions, leading to talent discoverability & excellence in students’ professional makeup-thus helping them to be ‘industry &future ready’.

Program wise pre-requisites for joining IBM ICE Programs being offered in collaboration with Kalinga University is:

B.Tech Computer Science in Artificial Intelligence & Machine Learning (AI/ML) – 4 years – 8 semesters

About IBM ICE Programs at Kalinga University

Even as technology changes to keep up with the needs of a changing world, Computer Science programs are often out-of-date, and in some cases, obsolete. Students thus need significant training after employment before they can be deployed and contribute to the employer business. IBM ICE provides cutting-tech technological knowledge and Industry- specific training, with a state-of-the-art delivery model and the students are provided with the requisite knowledge and skills to thrive in a constantly-changing landscape, allowing them to bring immediate value to their employer.

IBM Innovation Centre for Education (IBM ICE) is preparing the next generation of professionals with courseware redesigned from the ground up and a state-of-the-art delivery mechanism to allow students to learn industry-relevant skills through:

Unique world-class in-depth learning content on emerging technologies.
Strong emphasis on Project, Labs and Case Study based learning.
Stress on Industry aligned Curriculum& continuous Industry interaction.
The futuristic online delivery platform- ‘Industry-Academia Collaboration Framework’ encourages students to Learn, Collaborate and Discover.
Student participation in Intra-college, inter-college and global competitions.

Programme Details

Course & Streams Of Technology Specializations :

B.Tech Computer Science In Artificial Intelligence & Machine Learning (AI/ML) (4 year-8 semester Program)

Features

Hands on learning: Become job-ready by applying what you learn and build real-life projects.
Learn from the best: The teachers/professors will be IBM certified Professionals.
Structured program with mentorship: Mentors will be available throughout the program course.
Project Based Learning : The theory courses are augmented by adequate project work, which will help the students apply the knowledge they gain in classroom. Much of the project work will be hosted on the online platform.
Vibrant Courseware : The courses have been developed by IBM with the help of technology experts from the industry, who review and keep it relevant as per the industry requirements. This support comes from the IBM Labs and other connected groups.
Guest Lectures and Student Interactions : Regular visits to the Campus by IBM / Industry experts, helping students learn from their experiences.
Industry Events / Quiz / Campus Competitions : The IBM program has been designed to provide many avenues for the industry-student interactions.
Student Monitoring & Tracking : The online platform tracks the work the student puts in the ecosystem. This includes the project milestones, support which the student provides/receives, articles, assignments, by the student.

Outcomes

Upon successful completion of the program, the students will be awarded

An electronic badge (certificate) from IBM.
An opportunity to work on industry aligned projects, as part of the program.
Understand the applied aspect of technology
Get an insight into how projects are delivered in the industry.
Helping the student with the confidence to face the interview team during their placement cycle.
Help students to acquire industry-relevant technology skills and prepare them for an exciting career ahead.
Enhanced knowledge will provide a competitive edge over their peers from other institutions
Prepare students for meeting the real-world challenges.

Career Avenues:

Machine Learning Engineer – Role: Develop ML systems, run learning tests and experiments, and deploy ML algorithms
Data Scientist – Role: Capture, process and interpret data for insights using ML models, predictive analytics and AI
Business Intelligence Developer – Role: Develop, deploy and maintain BI interfaces including query tools and interactive dashboards
Big Data Engineer/Architect – Role: Create database solutions, deploy information systems and analyze structural requirements
Data Analyst – Role: Collect, interpret and analyze data about specific topics and report the findings

Course outline :

B.Tech Computer Science In Artificial Intelligence & Machine Learning (AI/ML) (4 years / 8 Semester )

Python Programming
Introduction to Artificial Intelligence & Machine Learning
Predictive Analytics
Machine Learning
Deep Learning
Pattern Recognition and Anomaly Detection
Computational Linguistics and Natural Language Processing
Application of Machine Learning in Industries
Project

B.Tech Computer Science In Artificial Intelligence & Machine Learning (AI/ML) (4 years / 8 Semester )

Introduction to Artificial Intelligence & Machine Learning
Machine Learning
Deep Learning
Application of Machine Learning in Industries
Project

Benefits of IBM ICE Programs:

In-depth and applied courseware exclusively available to IBM students at Kalinga University
- The applied courseware is created exclusively for IBM ICE Students by industry experts and with inputs from IBMers from all over the world.
- Vibrant Concurrency of Courseware.
- The courses will be reviewed and adjusted at the periodic intervals for their concurrency.
In-depth training on in-demand cutting-edge technologies:
- Next Generation ecosystem learning platform for the Institution which will benefit faculties & Students enrolled for the IBM ICE Program (comprising of Projects and connect with Industry for Internships, Jobs) shall also be made available to the faculty and students of IBM ICE Academic Partner.
Access to world class e-learning ecosystem:
- Next Generation ecosystem learning platform for the Institution which will benefit faculties & Students enrolled for the IBM ICE Program (comprising of Projects and connect with Industry for Internships, Jobs) shall also be made available to the faculty and students of IBM ICE Academic Partner.
Project and Lab based learning combined with Instructor led classroom training
- Focus on projects and applied learning shall be offered from the very beginning. Theory courses shall be augmented by adequate project and applied work, which will help the students apply the knowledge they gain in classroom.
Subject Matter Experts Visits & Interaction:
- Visits to IBM ICE Academic Partner will be planned by IBM and Subject Matter Experts to Kalinga University, so that IBM ICR students can learn from their experiences and skills.
- There will be adequate interaction planned during these visits so that it becomes an interactive learning experience for the students.
- This shall be part of the IBM ICE’s futuristic online delivery framework –encouraging the concept of ‘Learn, Collaborate and Discover’
A competitive edge over other candidates in Industry & better equipped during Interviews, Internships and International Contests:
- IBM shall organize IBM ICE Days where students learn to collaborate and compete through Technical Poster Competitions, Hackathons, Technical Paper Presentations and Project Presentations.
- These competitions are conducted for intra-college, inter-college & inter- country.
- Learning through collaboration and competition on IBM ICE Days.
Globally Recognized Digital Badge for Students from IBM in addition to the Degree offered by Kalinga University:
- The coveted IBM Digital Badge directly issued by IBM directly to all graduating students.
Availability of Mentors to IBM ICE Students at Kalinga University:
- Mentoring support to students for additional and expert knowledge.
Industry Updates:
- Timely updates from industry mentors and from IBM’s experts shall be made available to IBM ICE students of Kalinga University.
Online / Offline Discussions Forums:
- The learning will be further enhanced by providing adequately structured
  discussion forums against relevant topics / subjects.
Quality Management Systems & Practices:
- IBM shall constantly monitor and advise in implementing global best practices at Kalinga University, to ensure that the best value of learning delivered to the students.

Program Offered

Graduate program in B.Tech Computer Science in Artificial Intelligence & Machine Learning (AI/ML)