EAMCET Counseling code: KGRH

Computer Science & Engineering – AIML

Computer Science & Engineering – AIML

About Department

B. Tech in Artificial intelligence & Machine Learning is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.

This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies. The main goal of artificial intelligence (AI) learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behavior (financial management), recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data, and all these you will learn the artificial intelligence and machine learning engineering college in Hyderabad.

This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.

Our Vision

Our Mission

  • To provide high quality technical education to students that will enable life-long learning and build expertise in advanced technologies in Computer Science and Engineering.
  • To promote research and development by providing opportunities to solve complex engineering problems in collaboration with industry and government agencies.
  • To encourage professional development of students that will inculcate ethical values and leadership skills while working with the community to address societal issues.
Vijaylata Principal KGR
Dr. Y. Vijayalata

Principal & Professor

An academician with 25+ years of Teaching Experience and 12+ years of Research Experience, Dr. Y.Vijayalata  completed her M.Tech. in CS from Birla Institute of Technology, Ranchi, India in 2001 and Ph.D in CSE from JNTU Hyderabad in 2012. Currently working as Principal at KG Reddy College of Engineering & Technology since August 2022.


  • Certificate of Appreciation for Outstanding Service render at GRIET for the academic year 2020-21 on November 2021
  • Recipient of “Bhishma Acharya” from Bharat Education Excellence Awards September 2021
  • Recipient of “Significant Volunteer Service Award 2019” by IEEE Hyderabad Section in January 2020
  • Recipient of “2020 R10 Education Activities Outstanding Group Award”, Asia Pacific
  • Recipient of “Vibrant Society Chapter Award 2020”, IEEE Hyderabad Section
  • Certificate of Appreciation for valuable services and contribution as Member of 2017-2018 IEEE Region 10 Educational Activities Committee, Jan 2019
  • Recipient of “Distinguished Leader in Engineering” Higher Education Leadership Awards-HELA 2018, Venus International Foundation
  • Recipient of “Best Head of Department (IT)” by ITSR Foundation Award-2017
  • Recipient of an Honorable Mention for the “2017 IEEE Women in Engineering Inspiring Member of the Year Award” for outstanding contribution and services to IEEE Women in Engineering in 2017
  • Certificate of Appreciation for valuable services and contribution as Chair – Student Activities Committee (2014-2015) by IEEE Hyderabad Section
  • “2015 IEEE Women in Engineering Student Branch Affinity Group of the Year Award” MGA Award
  • Certificate of Appreciation for valuable services and contribution as Chair – Women in Engineering – Affinity Group (2012-2014) by IEEE Hyderabad Section
  •  “Outstanding Branch Counselor Award 2013” at IEEE R10(Asia-Pacific)

Her area of interest includes Image Processing, Machine Learning. She has presented more than 35 papers in International Journals & Conferences. She has guided 02 Ph.Ds and is currently guiding a research scholar.

She has been volunteering at IEEE Hyderabad Section for the past 12 years. Currently, she is serving as Chair, Student Activities Committee (SAC). Also serving as Vice-Chair, SAC at IEEE India Council. She is also a committee member at R10 SAC.  In addition, she is a committee member at SIGHT, 202

Ms. R. Sowjanya

Ms Sowjanya Ramisetty

Associate Professor
Coordinator ,CSE-AI&ML

Prof. Sowjanya Ramisetty has 12 years of Teaching experience and 6 years of Research experience, currently  working as an Associate Professor, Department of CSE-AI&ML at K G Reddy College of Engineering and Technology, Hyderabad .She is Pursuing Ph.D. from Lovely Professional University, Phagwara, in the area of Mobile wireless sensor networks and Machine Learning. Published 5 research articles in SCOPUS indexed journals and conferences. She is the Microsoft Certified member and completed the particular courses are Microsoft® .NET Framework – Application Development Foundation. and Microsoft® .NET Framework 2.0 – Web-Based Client Development.

Mrs. R. Sowjanya Assistant Professor
Ms. R. Sowjanya

Associate Professor

Dr Siva Shankar CSM
Dr Siva Shankar

Associate Professor

Maithili CSM
Dr Maithili

Associate Professor

Naveen Raj CSM
Mr Naveen Raja S M

Assistant Professor

Surendar CSM
Mr Surendhar S

Assistant Professor

Students Achievement:

  • Our students (Maulik thummar, Harsha vardhan,Yuvraj singh and Arshiya begum) developed a software to generate a certificates and a newsletter automatically under the guidance of K.RAMA KRISHNA REDDY, Assistant Professor, CSE Department.
  • Total 12 students participated in Project Expo at KG Reddy College of Engineering and Technology.
  • Total 32 students participated in a Guest lecture on Blockchain at KG Reddy College of Engineering and Technology.
  • Total 45 students participated in ONE DAY WORKSHOP ON DEVOPS at KG Reddy College of Engineering and Technology.
  • Total 11 students participated in YOUTH PARLIAMENT at KG Reddy College of Engineering and Technology.
  • Total 62 Students participated in Technical Workshop on “How to Create Barcode using Python ” which was organized by AI Cub, Department of AI &ML in association with EducateNXT, Hyderabad.

Faculty Achievements:

  • Dr. S. Siva Shankar Associate Professor has Published “A detailed study on Applications of IOT in Higher Education System” in the Journal of Neuro Quantology.
  • Dr.K.Maithili, Associate Professor has Published “Epilepsy seizure Feature Extraction using Discrete Wavelet Transform for Healthcare Application” in the Journal of Neuro Quantology.
  • Dr.K.Maithili, Associate Professor has published a paper on ” Stage-Wise Categorization and Prediction of Diabetic Retinopathy Using Ensemble Learning and 2D-CNN” in the Journal of Intelligent Automation & Soft Computing.

MoUs are signed by the department/Institution with Academia or Industry for Academic, Research and student training. Currently, the department of Artificial Intelligence & Machine Learning has MoUs with 9 different agencies/organizations and details are as follows:

  • Andura Tech Solutions Pvt. Ltd.
  • Pactolus Edutech Pvt. Ltd.
  • Kalinga Software Pvt. Ltd.
  • Bias IT Consulting Pvt. Ltd.
  • Advit Software & Business Solutions Pvt. Ltd.
  • Sesillis Solutions Pvt. Ltd.
  • ScrapQ IT Hub Pvt. Ltd.
  • Syscon Solutions Pvt. Ltd.
  • Bomotix Pvt. Ltd.

Certificate Course

Courses in Computer Science and Engineering vary greatly in nature. Some are studied online, and some are presented in a classroom. Many courses lead to a certificate at their completion, which can be helpful when looking for a job. Whether students are new to the world of information technology, or are seeking to advance in your existing career, completing a course can only enhance student’s options. Computer Science and Engineering (CSE) professionals may select from a wide variety of non-degree computer science certifications to demonstrate their competence in a specialty, learn valuable skills, and advance their careers. A computer science and engineering certification validates a professional’s technical knowledge and experience with specific products, methods, or practices. Roles within the computer science industry that may require certification include systems engineer, security manager, network administrator, software developer, and project manager. Because these high-paying roles involve using technical expertise to manage and protect essential operations and sensitive data, employers value — and often require — proven credentials.

Computer science certifications ask candidates to pass one or more tests. In preparing to pass these credentialing exams, professionals gain and practice certain skills. Many professionals value the process of preparing for these tests since they gain knowledge they can apply in their jobs and use to advance their careers. This course at the Best ML and AI Engineering College is a forum to bring together students to discuss innovative ideas and diverse topics of this course on next generation of information technologies. Department has taken a new step for students to improve the quality of study through this course and become most wide scale , extensive, spectacular event in computer science engineering.

Objective of Certificate Course

In the field of Computer Science and Engineering, a student’s set of skills must constantly be updated and expanded. Programming languages fluctuate in popularity from year to year, and new advances are made in networking and security technology. The completion of a short course or certificate program demonstrates knowledge of the latest tools and concepts, and can lend a distinct advantage in a competitive job market. Computer Science and Engineering courses are offered at KG Reddy College of Engineering and Technology – renowned as the Best Machine Learning & Artificial Intelligence Engineering College in Hyderabad. It is easy to find appropriate courses in area of interest. Students can choose from specialized topics including programming languages, networking, computer security, and multimedia development, Artificial Intelligent, cloud computing, Machine Learning etc. These courses of study can often be taken individually; other times, they are offered in conjunction with a degree program.

Scope of the Course

Depending upon the interest the career in IT can be chosen. Those who love programming and coding can do software engineering and those who prefer networking and system administration, can do hardware engineering. IT sector is quite broad in terms of employment and job options. Roles are varieties for Computer engineers in IT sector, but their primary role is to apply the knowledge of mathematics and science to design and develop software to be used by clients or users. There are network engineers, system management professionals besides the computer engineers. Computer software engineers have bright career prospects as the application of software and dependency on it in various walks of life are increasing. After completion of certificate course at Artificial Intelligence & Machine Learning engineering college, they can gain much more knowledge based on latest technology which are available in IT sector. Thus it helps to them to make their bright carrier in different directions such as (a) an software engineer, (b) Researcher, (c) great academician, (d) make own software industry, (e) system administration etc.

S.No Course Name Duration of the Course No. of Students Attended No. of Students Appeared Examination No. of Students Passed Academic Year
1  Fullstack of Python Programming Ongoing 2022-23
2 Advanced C Programming 20-07-19 to
66 66 66 2019-20
3 Internet of Things (IOT) 11-02-2019 to
101 101 101 2018-19
4 Microsoft Technical Associate Database Fundamentals (MTA DBF) 27-08-18 to
96 96 96 2018-19
5 Web Design 15-02-18 to
96 96 96 2017-18
6 Cloud Computing & Security 08-01-18 to
86 86 86 2017-18
7 Database Programming with SQL 30-10-17 to
109 109 109 2017-18


Value Added Course

The Department of Computer Science and Engineering is organizing the value-added courses to all the students at every semester during their regular course. These courses are offered by the department to provide additional skills and to incorporate industry-oriented training for students. These courses at this ML & AI Engineering College will be delivered as hands on training and will not be conducted in regular class room mode. This would help the students to acquire practical knowledge on latest technology and tools. These courses shall be offered for minimum of 30 theories and practical hours’ duration in every semester. This course will be offered fully or partly at our ML & AI engineering college institution, industry and R&D labs by faculty members of KGRCET, experts from industries and R&D establishments. Every Student should opt for minimum of four ‘one credit’ courses in addition to the prescribed curriculum.

Objective of Value-Added Course

The objective of this course is to equip the students in current technologies and also to reduce the gap between academic and industry. The main objectives of the course are:

  1. To provide students an understanding of the expectations of industry.
  2. To improve employability skills of students
  3. To bridge the skill gaps and make students industry ready.
  4. To provide an opportunity to students to develop inter-disciplinary skills.


Scope of the Course

After getting this course, computer engineers can get jobs in non-IT companies like universities, research, private and public industries, government departments, business organizations, commercial organizations and the manufacturing sector, etc. Besides the Computer Engineers have plenty of options to work in IT companies in departments such as design, development, assembly, manufacture and maintenance, etc. Working as programmer, web developer, and E- commerce specialist with telecommunications companies, automotive companies, aerospace companies, etc. can be a lucrative career option as well. Moreover, numerous national and multi-national computer manufacturing companies, computer hardware system design and development companies, computer networking companies, software development companies, etc. require computer professionals in large numbers.

S.No Course Name Duration of the Course No. of Students Attended Academic Year
1 Fundamentals of Python Programming 19-08-19
115 2019-20
2 Deep Neural Network 11-03-19 to
108 2018-19
3 Machine Learning and Artificial Neural Network 22-02-19 to
95 2018-19
4 Web Development using Python on DJango 28-01-19 to
108 2018-19
5 Python on Conda Environment 12-03-18 to
96 2017-18
6 Big Data using Hadoop 27-02-18 to
108 2017-18

Best Practices:

  • Creating Course Website in CANVAS
  • Recorded Lecture
  • PBA
  • Project Expos

Contact Info

Ms. R. Sowjanya

Ms Sowjanya Ramisetty

Associate Professor