The Best Artificial Intelligence & Machine Learning College in Ghaziabad, Delhi NCR, India

Course Overview

The Department of Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning (CSE-AIML) at ABES Engineering College Ghaziabad was established in the year 2020. The department offers a four-year full-time B.Tech program in CSE-AIML, with a total intake of 180 students. The department has well-qualified, experienced, and dynamic faculty members. The Department has well-equipped labs with the necessary hardware and software to meet the curriculum and industry requirements. They have a Project Lab, Advanced Labs to harness the creative and innovative aspiring minds to put their imagination into reality. The Department has tie-ups with industry partners to enhance student employability skills through in-house training, workshops, guest lectures, and alumni lectures. These collaborations enable students to work on industry-relevant projects based on their interests, fostering a culture of research and innovation. Students in the Department undergo In-house training which includes advanced training, skill enhancement training, and industrial training to bridge the gap between Industry and Academia. The department's focus is on providing students with practical exposure and real-world experience to prepare them for successful careers in the field of Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning CSE-AIML.

Why Us

Placement and Internship Opportunities
Emphasis on practical and hands-on learning
Active student chapters and communities
Support for entrepreneurship and innovation

Highlights

#Ranked 1 in AKTU (As per AKTU First Year Results) to offer the B.Tech. (CSE) with AI & ML Specialization.
Industry-Academia connect for real project exposures on AI & ML.
Advanced trainings and research centres
Well qualified faculties to meet the demand of industry and academia.
Regular Industrial talks and workshops to get acquainted with the new technologies

Career path you can choose after the course

Machine Learning Engineer
Artificial Intelligence Engineer
Machine Learning Architect
Artificial Intelligence scientist in research and development industries like; IBM, Adobe, Microsoft.

Vision

To become the world-class student-centered department which fosters high quality learning and research for both undergraduate and graduate students of Computer Science Engineering Artificial Intelligence and Machine Learning to cater to the ever-changing industrial demands and social needs in Artificial Intelligence and Machine Learning through excellence in education and research.

Mission

M1: To create a healthy environment for the development of innovative academician professionals in the areas of computing and artificial intelligence.

M2: To create a healthy environment for the development of entrepreneur pursuit & researchers in Artificial Intelligence & Machine Learning

M3: To develop a healthy environment to fulfil its commitment to research & education of the highest quality with industry requirement and social acceptance at large.

Programme Educational Objectives (PEOs)

To impart knowledge about modern AI tools and techniques and building strong foundation in science, mathematics and engineering fundamentals, knowledge and capability.

To develop the ability to comprehend, understand, and analyze computer science and AIML verticals and relate them with real life.

To develop lifelong learning by imparting in-depth knowledge through project-based learning, certification programs and professional educational activities.

Programme Outcomes (POs)

Engineering Graduates will be able to:

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in soc ietal and environmental contex ts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Specific Outcomes (PSOs)

Apply fundamentals of science, engineering and mathematics to understand, analyse and develop solutions in area related to artificial intelligence for optimal design of intelligent systems.

The ability to understand evolutionary changes in machine learning, apply evolutionary algorithm, optimization technique and analytic tools for integration of intelligent system with view of engaging lifelong learning for betterment of society.

The ability to employ modern machine learning tools, language and platform in creating suitable career path to be an entrepreneur, also practice professional ethics in applying scientific method to model and support multidisciplinary facets of artificial intelligence and its societal implications.

The future belongs to those who believe in the beauty of their dreams." - Eleanor Roosevelt

Ms. Deepali Dev, Head of the Department

The CSE-AIML department stands as a beacon of growth and dynamism, dedicated to empowering our students with the knowledge and skills required to excel in the thrilling and constantly evolving domains of Artificial Intelligence and Machine Learning. Our unwavering commitment lies in shaping future AI and ML professionals who can lead with innovation and impact. Our top priorities are the following:

Our department's vision is to create a nurturing environment that fosters intellectual curiosity and equips students with the knowledge and skills to excel in AI and ML.
The department is committed to delivering high-quality education through a well-designed curriculum that blends theoretical knowledge with hands-on experience.
Our department has equipped its laboratories with state-of-the-art facilities to provide students with an ideal platform to experiment with and implement innovative AI and ML projects.
The department actively collaborates with leading tech companies and research institutions to provide students with valuable exposure to real-world scenarios and industry practices.
The department believes in the holistic development of students and encourages active participation in extracurricular activities, hackathons, workshops, and seminars.
Research is the backbone of progress, and our department encourages faculty and students to engage in cutting-edge research that pushes the boundaries of AI and ML.
The department aims to be at the forefront of technological advancements and contribute significantly to the field.
Our department's vision is to create a world-class AI and ML education program that produces skilled professionals who can make a positive impact on society.
We believe that AI and ML are the future of technology, and we are committed to providing our students with the skills they need to shape the future of this field.

Our department's strengths include our experienced and qualified faculty members, our rigorous curriculum, and our strong partnerships with industry and other academic institutions. We believe that AI and ML have the potential to solve some of the world's most pressing problems. We are committed to using our department's strengths to make a positive impact on the world.

"The only limit to our realization of tomorrow will be our doubts of today." - Franklin D. Roosevelt

MS. DEEPALI DEV

Assistant Professor (Sr. Scale) & Head of departmentHOD

hodcseaiml@abes.ac.in

DR. DHYANENDRA JAIN

Associate Professor

dhyanendra.jain@abes.ac.in

DR ROHIT

Associate Professor

rohit@abes.ac.in

DR. ANAMIKA GOEL

Associate Professor

anamika.goel@abes.ac.in

DR. SONY KUMARI

Assistant Professor (Senior Scale)

sony.kumari@abes.ac.in