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College CET CODE E112

The department of Artificial Intelligence and Machine Learning (AI&ML) is approved by Visvesvaraya Technological University, Belagavi from the academic year 2020-21. The exciting journey of the department is started in the year 2020. The department offers an undergraduate B.E. program with an intake of 60 students.

The department is started to cater the needs of Industry 4.0, which has created revolution by integrating new technologies such as Artificial Intelligence and Machine Learning, Internet of Things (IoT) etc., into their production facilities and throughout their operations.

The department has well qualified faculty with rich research and teaching experience and is committed to impart rigorous training to the students to generate knowledge through the state of art concepts and technologies in Artificial Intelligence and Machine Learning. The department has adequate infrastructure with state-of-art laboratories to facilitate advanced learning environment.

To cope up with the upcoming Industrial demands, it is highly required to ensure adaption of latest skills among students of Artificial Intelligence and Machine Learning to meet the Industry standards. With this objective the department organizes School of Artificial Intelligence program, spread across 4 years, being conducted in collaboration with M/s Tequed Labs, Bangalore, to help the students improve on cutting edge technologies and develop AI applications.

The Department coordinates Infosys Campus Connect program INFYTQ, regular training sessions are being organized for the students of all the streams to ensure preparedness for Infosys Certification Examination and bridge the gap between Industry and Academia.

Vision

To promote partnerships between the academic and industry sectors to bring in a innovative ecosystem & being very beneficial to the whole society.

Mission

Artificial Intelligence and Machine Learning department intends to Provide a major support to enable R&D contributing to the fundamental research in AI & ML

Commit to openness and inclusiveness, in a collaborative and constructive spirit to boldly attack challenging problems with high social and economic impact.

Initiate the education and training paying special attention to the necessary skills of the next generation workforce.

About Artificial Intelligence

Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems

Artificial intelligence (AI) is currently one of the hottest buzzwords and with good reason. The various sub-domains of Artificial Intelligence are

  • Machine Learning: ML teaches a machine how to make inferences and decisions based on past experience. It identifies patterns, analyses past data to infer the meaning of these data points to reach a possible conclusion without having to involve human experience.
  • Deep Learning: Deep Learning is an ML technique. It teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.
  • Neural Networks : Neural Networks work on similar principles to Human Neural cells. They are a series of algorithms that captures the relationship between various underlying variables and processes the data as a human brain does.
  • Natural Language Processing: NLP is a science of reading, understanding, and interpreting a language by a machine. Once a machine understands what the user intends to communicate, it responds accordingly.
  • Computer Vision: Computer vision algorithms try to understand an image by breaking down an image and studying different parts of the object. This helps the machine classify and learn from a set of images, to make a better output decision based on previous observations.
  • Cognitive Computing : Cognitive computing algorithms try to mimic a human brain by analysing text/speech/images/objects in a manner that a human does and tries to give the desired output.

This Course is for Students who are

  • Looking to excel in the field of analytics as it relates to AI and machine learning.
  • Looking to pursue a career in user experience for technology. In terms of AI, a UX specialist’s responsibilities may include understanding how humans are interacting with these tools in order to develop functionality that better fits those humans’ needs down the line.
  • Hoping to pursue a career in natural language processing. Due to the extensive need for a background in not only applied statistics but also mathematical theory.
  • Wanting to be software engineers to develop the programs on which artificial intelligence tools function. In the scope of AI, individuals in these roles are responsible for developing the technical functionality of the products which utilize machine learning to carry out a variety of tasks.
Dr. Geetha C Megharaj

Dr. Geetha C Megharaj

Head of the Department

Dr. Geetha C Megharaj received the Bachelor of Engineering (B.E) Degree in Computer Science and Engineering from, Karnataka University, Dharwad, M.Tech and PhD from Visvesvaraya Technological University, Belagavi. She has total 25 Years of Experience in Teaching. Organized and conducted various FDP/SDP/Webinars/Conferences. Areas of research interest are Parallel Processing, Natural Language Processing, Machine Learning, Cloud Computing. She has 20 publications to her credit in various National & International Journals and conferences.

Course Outcomes:

Faculties frame the Course outcome by using the four components: Action, Knowledge, Condition, benchmark and shall focus on what the student should know and realistically be able to do by the end of the course.

Action

Choose the Action verb required for learning based on the level, this measures the student ability in demonstrating the concept which is required (Apply, Analyze, . . . .).

Knowledge

The Knowledge and its level required to reach/achieve the concept, some of the concepts required are specific to the domain knowledge.

Conditions

what are the conditions on which the above knowledge specified is achieved / or the conditions under which the operations happen to achieve the above said knowledge.

Bench mark

To characterize the acceptability levels of performing the action. Bench mark methods are specified for the Optional element.

Programme Specific Outcomes:

Department of Artificial Intelligence and Machine Learning:

Graduates will be able to:

  • PSO 1: Able to adapt, contribute innovate ideas in the field of Artificial Intelligence and Machine Learning
  • PSO 2: To provide a concrete foundation and enrich the abilities to qualify for Employment, Higher studies and Research in various domains of Artificial Intelligence and Machine Learning such as Data Science, Computer Vision, Natural Language Processing with ethical values.
  • PSO 3: To acquire practical proficiency with niche technologies and open source platforms and become Entrepreneur in the domain of Artificial Intelligence and Machine Learning

Applications of Artificial Intelligence

Some of the more common applications of AI are: Google’s AI-powered predictions (E.g.: Google Maps), Ride-sharing applications (E.g.: Uber, Lyft), AI Autopilot in Commercial Flights, Spam filters on E-mails, Plagiarism checkers and tools, Facial Recognition, Search recommendations, Voice-to-text features, Smart personal assistants (E.g.: Siri, Alexa), Banking Fraud protection and prevention, Online Customer Support, Cyber Security and Virtual Assistants. Finally the major reasons to acquire an Engineering degree in Artificial Intelligence and Machine Learning are Demand for Certified AI Professionals will continue to Grow, New and Unconventional Career Paths and Improve Earning Potentials.

Opportunities for Artificial Intelligence Engineers

Careers in Artificial Intelligence have shown steady growth over the past few years and will continue to grow at an accelerating rate. 57% of Indian companies are looking to hire the right talent to match the market requirements. Aspirants who have successfully transitioned into an AI role have seen an average hike in salary of 60-70%. As per WEF, 133 million jobs would be created in Artificial Intelligence by the year 2023. Major Companies that offer artificial intelligence jobs are Apple, Google, Amazon, Facebook, Accenture, IBM, Microsoft, Baker Hughes and PepsiCo etc.

Appreciation/Achievement

1. Prof. Geetha C Megharaj awarded doctorate in Computer and Information Sciences for her Thesis titled “ Approaches for Power Optimized Load Balancing in Private Cloud Systems”

2. Dr Geetha C Megharaj has received National Faculty Award 2021-2022 and Best Women Faculty Award by Novel Research Academy

3. Dr Geetha C Megharaj developed Leave Management System for Sri Krishna Institute of Technology

Upcoming Event

One day National Conference on “Recent Trends in Computer Science and Information Technology - 2022” (RTCSIT-2022) has been jointly organized by the department of Computer Science & Engineering and Artificial Intelligence and Machine Learning on 10 rd June 2022

R&D CELL:

The National Project Exhibition, “SKIT EXPO-2021” (Virtual), was organized by Research and Development cell of Sri Krishna Institute of Technology on 4thAugust, 2021.

Activities

1. Bridge Course on C Programming was conducted for II year students from 18th Oct to 31st Oct 2021

2. Bridge Course on C++ Programming was conducted for II year students from 23rd May 2022 to 27th may 2022

3. Constitution Day was celebrated on 26th November 2021

4. Level 3 Training on School of AI conducted for II year students of AIML/CSE/ISE/ECE students from 16 th MAY to 20 th MAY

5. Knowledge sharing session on Microsite Creation on Infosys Springboard Platform was conducted on 21.12.2021 for all the department coordinators of INFYTQ

6. Awareness session on MOOC platforms was conducted by Dr.Geetha Megharaj for I year students during Induction program held on 27.12.2021

7. Parents Teachers Meeting with the Parents 3rd semester AIML Students and Teachers of the department was held on 8/1/22 in online mode

8. Awareness Session on Infosys Certification Exam was conducted for the 5th Semester students of all branches on 29th December 2021 by Dr. Geetha Megharaj.

9. 12th National voters day was celebrated in Department of AIML on 25/01/2022

Career in AI

Artificial intelligence is a lucrative field with above-average job growth, but the industry remains competitive. Roles in this discipline are very niche, requiring both an advanced technical background and extensive hands-on experience.

Those with this rare balance of skills and real-world exposure will be able to land any number of roles in AI and continue shaping the landscape of this constantly evolving field for years to come.