Building tomorrow's AI leaders through rigorous, industry aligned education with research excellence in Artificial Intelligence and Machine Learning.
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AI & ML Education in Faridabad
The Department of Computer Science & Engineering (AI & ML Specialisation) is committed to delivering rigorous, industry aligned education with research excellence in artificial intelligence and machine learning. Aravali College of Engineering and Management, Faridabad offers a B.Tech in Artificial Intelligence & Machine Learning - an undergraduate programme that promises a wealth of opportunities for today's AI driven generation.
The department is fully equipped with the best intellectual capital and 9 state of the art labs with high speed internet (1 Gbps) and licensed software. Our main focus is to provide students with the latest AI/ML technologies available in the market, keeping them abreast of emerging trends.
We have well-qualified, experienced faculty members with M.Tech., PhD (pursuing) or PhD qualifications with multiple publications in national and international journals. Beyond knowledge and skills, our student association programmes aim to develop well rounded personalities by inculcating values of truthfulness, integrity, team spirit, and a vibrant work culture.
Important academic information about the B.Tech CSE Artificial Intelligence & Machine Learning program at ACEM.
For admission guidance and eligibility assistance, connect with our admission team.
Admission Process Contact Admission OfficeContent updated from the reviewed AIML department documents.
To emerge as a center of excellence in Artificial Intelligence and Machine Learning, nurturing innovative professionals capable of solving real-world challenges through intelligent technologies.
Aravali College of Engineering and Management offers a specialized Bachelor's program in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning (AIML), with an approved intake of 60 seats. This program is designed to equip students with strong fundamentals in computer science along with advanced knowledge in AI technologies such as machine learning, deep learning, natural language processing, and data analytics.
The curriculum combines theoretical concepts with hands-on practical learning through modern labs, real-world projects, internships, and industry-oriented training. Students gain experience in programming, algorithm design, model development, and data-driven decision-making. Project-Based Learning is a key component, encouraging innovation and problem-solving skills.
With expert faculty guidance and exposure to cutting-edge tools and platforms, students are prepared for high-demand roles such as AI engineer, data scientist, machine learning engineer, and research professional, making them industry-ready in the rapidly evolving field of artificial intelligence.
| PEO | Description | Aligned Department Mission Points | Justification |
|---|---|---|---|
| PEO 1 | Strong Technical Competence | M1, M2, M5 | Ensures students gain advanced knowledge in AI, ML, Data Analytics and develop practical, industry-ready technical skills aligned with evolving technologies. |
| PEO 2 | Problem Solving & Innovation | M2, M3 | Enhances analytical thinking and supports innovation, research, and startup-oriented problem-solving in AI domains. |
| PEO 3 | Career Readiness & Professional Growth | M2, M5 | Focuses on industry readiness through practical AI skills and continuous curriculum updates aligned with global standards. |
| PEO 4 | Ethics, Teamwork & Leadership | M4 | Promotes ethical AI practices, responsible technology usage, teamwork, and leadership in professional environments. |
| PEO 5 | Lifelong Learning | M3, M5 | Encourages continuous learning, research engagement, and adaptability to rapid advancements in AI and related technologies. |
Why Choose B.Tech AI & ML?
Graduates of Aravali College of Engineering and Management are well-positioned for high-growth career opportunities in the technology sector.
Empowering students with strong career outcomes and industry exposure
Highest Package
Average Package
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The B.Tech CSE AI & ML program prepares students for high-demand careers in artificial intelligence, machine learning, deep learning, computer vision, NLP, data science and MLOps.
Graduates gain strong technical foundations with hands-on exposure through AI projects, modern labs, internships, certification-based learning and placement training.
ACEM maintains strong industry connections with leading technology companies and provides placement training, internships, and career mentorship programs.
Aravali College of Engineering & Management provides an industry-focused AI learning environment with modern laboratories, experienced faculty, research exposure and strong placement support.
ACEM is AICTE approved and affiliated with J.C. Bose University of Science and Technology, YMCA, with curriculum aligned to current AI, ML, data analytics and computing needs.
The department has qualified faculty with M.Tech., PhD and PhD-pursuing backgrounds, publications and expertise in AI, ML, big data, cloud computing and data science.
Students work on AI-based mini projects, hackathons, research activities, prototype development and startup-oriented problem solving.
The department is supported by GPU-powered AI labs, cloud labs, cybersecurity labs, IoT labs, high-speed 1 Gbps internet and licensed software.
Certification-driven learning, a mandatory internship track, aptitude training, mock interviews and AI portfolio building prepare students for placement success.
Industry exposure is strengthened through AWS Academy, Microsoft Learn, Cisco Networking Academy, NASSCOM linkages, workshops, guest lectures and industrial visits.
Our faculty are the foundation of the department, bringing a strong blend of academic excellence, research depth, and industry exposure. With decades of combined experience, they are deeply committed to student success and play a vital role in shaping career-ready graduates.
The professors lead advanced research initiatives and curriculum development, with expertise in Artificial Intelligence, Machine Learning, Big Data, Cloud Computing, and Data Science. With multiple PhDs and publications in reputed national and international journals, they guide research scholars and drive industry-collaborative projects.
Associate professors focus on bridging the gap between theory and real-world application, specializing in areas such as Cybersecurity, Computer Networks, DevOps, Full Stack Development, and Database Systems. Assistant professors bring a dynamic and hands-on approach to learning, focusing on emerging technologies such as Internet of Things (IoT), Embedded Systems, Natural Language Processing, Computer Vision, Blockchain, and Mobile App Development.
Faculty expertise spans across modern domains including AI/ML, Big Data, Cloud Computing, Cybersecurity, IoT, and Blockchain. Beyond classroom teaching, faculty members are actively involved in organizing workshops, hackathons, and mentorship programs, and are always accessible to students for personalized guidance, ensuring a holistic and career-focused learning experience.
At Aravali College of Engineering and Management, our laboratories are designed to provide a modern, industry-aligned learning environment. Equipped with advanced hardware, licensed software, and high-speed 1 Gbps internet connectivity, these labs enable students to gain hands-on experience across core and emerging technologies.
All labs are supported by experienced faculty and technical staff, ensuring continuous guidance. Extended access hours enable students to learn, experiment, and innovate beyond the classroom.
At Aravali College of Engineering and Management, strong industry linkages ensure students gain practical exposure, global certifications, and real-world experience.
The department has established active collaborations with globally recognized organizations:
These partnerships enable access to industry-aligned curriculum, certification programs, and hands-on training resources.
We prepare you for globally accepted certifications in high-demand domains. These credentials validate your skills and give you an edge in placements and higher studies.
Our Recruiters (Core Technical): Google, Microsoft, Amazon, TCS, Infosys, Wipro, HCL, Accenture, IBM, Cognizant, Capgemini, Deloitte, Flipkart, Paytm, Zoho.
Job Roles (Only Core IT): Machine Learning Engineer, Data Scientist, AI Specialist, Computer Vision Engineer, NLP Engineer, Deep Learning Engineer, AI Research Scientist, MLOps Engineer, Data Analyst, Big Data Engineer, AI Product Manager, Robotics Engineer (AI).
At Aravali College of Engineering and Management, a set of well-defined academic practices ensures quality education, industry relevance, and holistic student development. These practices are aligned with Outcome-Based Education (OBE) and continuously evolve to meet emerging technological demands.
These practices collectively contribute to enhanced conceptual clarity and practical skills, improved employability and placement outcomes, and development of innovation, leadership, and teamwork abilities.
At Aravali College of Engineering and Management, industrial visits are conducted regularly to provide students with practical exposure, industry insights, and real-world understanding of modern technologies.
Date: October 2025
Students explored enterprise IT solutions, cloud-based platforms, and large-scale industry workflows, gaining insights into professional IT environments.
Date: February 2026
The visit focused on cybersecurity practices, digital initiatives, and government IT infrastructure, enhancing students’ understanding of public sector technologies.
Date: March 2026
Students gained exposure to software development practices, coding standards, and real-time project environments, strengthening their practical knowledge.
Approved feedback from AIML students.
My name is Nandini Shukla, and I'm a proud student of the BTech Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning (CS AIML) program at Aravali College of Engineering and Management in Faridabad. Choosing Aravali College for my engineering studies was a decision I'm incredibly happy with. From the moment I stepped onto campus, I felt a welcoming and supportive environment. It provides access to necessary computing resources and software, which has been essential for our practical projects and assignments. Its infrastructure is very good. It fosters a positive and collaborative learning environment, where students are encouraged to explore their interests and work together.
My name is Drishti Kaushik, and I am currently pursuing my B.Tech at Aravali College of Engineering and Management. From day one, Aravali College has provided me with an excellent environment for academic and personal development. The faculty members are highly knowledgeable and always ready to guide us. The curriculum is well-structured, balancing theoretical concepts with practical applications. The college also provides excellent opportunities for industry exposure through workshops, internships, and guest lectures. The supportive environment and modern infrastructure make learning engaging and effective. Apart from academics, the college offers excellent sports facilities and actively promotes extracurricular activities. Annual fests, cultural events, and technical competitions provide a perfect platform for students to showcase their talents and creativity. The vibrant campus life, combined with a strong focus on overall personality development, makes learning here an exciting journey. I am proud to be a part of Aravali College and truly appreciate the opportunities it provides to shape our future!
My journey at Aravali College of Engineering and Management has been nothing short of amazing. As a student of the Artificial Intelligence & Machine Learning (AIML) program in the 8th semester, I have experienced tremendous growth, both academically and personally.
The faculty members are not just educators but mentors who have guided me at every step. The industry-focused curriculum, hands-on projects, and technical workshops have provided me with invaluable practical knowledge and skills. The college’s supportive environment and numerous extracurricular activities have made my learning experience enriching and enjoyable.
A special mention to the placement cell for their continuous support in helping students secure excellent career opportunities. I am proud to be a part of Aravali College, and I highly recommend it to anyone looking for quality education and career-oriented learning.
Studying at Aravali College of Engineering and Management has been an enriching and transformative journey. As an 8th-semester AIML student, I have gained not only strong technical knowledge but also hands-on industry exposure that has prepared me for real-world challenges.
The faculty members have been incredibly supportive, constantly encouraging us to innovate and stay updated with the latest advancements in AI and machine learning. Practical projects, workshops, and industry collaborations have played a vital role in enhancing my skills and boosting my confidence. The college fosters a perfect blend of academics and extracurricular activities, making learning an engaging and holistic experience.
JCBUST, YMCA, Faridabad University Rank Holders from Aravali College of Engineering and Management, Faridabad.
| S.no | Student Name | Batch | Department | Rank |
|---|---|---|---|---|
| 1 | ANJALI PANDEY | 2020-2024 | CSE(AIML) | 1st |
| 2 | PIYUSH | 2021-2025 | CSE(AIML) | 1st |
| 3 | ANJUM BANO | 2022-2026 | CSE(AIML) | 1st |
| 4 | HARSH PRATYUSH SINHA | 2022-2026 | CSE(AIML) | 1st |
| 5 | GUNJAN | 2020-2024 | CSE | 1st |
| 6 | NITESH ARORA | 2022-2025 | BCADS | 1st |
| 7 | JATIN | 2021-2024 | BCADS | 1st |
| 8 | DEEPAK | 2020-2023 | BCA | 1st |
| 9 | KARAN GUPTA | 2020-2024 | CSE(AIML) | 2nd |
| 10 | PULKIT | 2021-2025 | CSE(AIML) | 2nd |
| 11 | ISHAN PRASHER | 2020-2024 | CSE(AIML) | 2nd |
| 12 | PRIYA JHA | 2022-2025 | CSE(AIML) | 2nd |
| 13 | LAKSHYA BHARDWAJ | 2022-2026 | CSE(AIML) | 2nd |
| 14 | HARSH PRATYUSH SINHA | 2022-2026 | CSE(AIML) | 2nd |
| 15 | GEETA MELKANI | 2021-2025 | CSE | 2nd |
| 16 | GAURI SRIVASTAVA | 2020-2024 | CSE | 5th (2nd Rank), 6th (3rd Rank) |
| 17 | ROHIT SINGH RAWAT | 2021-2024 | BCADS | 2nd |
| 18 | ASHMITA JHA | 2022-2025 | BCADS | 2nd |
| 19 | AMIT KUMAR | 2020-2024 | CSE(AIML) | 3rd |
| 20 | PRIYANSHU KUMAR CHOUBEY | 2021-2025 | CSE(AIML) | 3rd |
| 21 | VIKAS | 2021-2025 | CSE(AIML) | 3rd |
| 22 | DHAIRYA BHATIA | 2022-2026 | CSE(AIML) | 3rd |
| 23 | DIYA GUGLANI | 2022-2026 | CSE(AIML) | 3rd |
| 24 | SNEHA | 2021-2024 | BCADS | 3rd |
| 25 | SAURABH MAURYA | 2022-2025 | BCADS | 3rd |
Our modern campus provides world-class infrastructure designed to foster innovation, research excellence, and hands-on learning.
