The curriculum of B.Tech. Computer Science and Engineering (Artificial Intelligence & Machine Learning) program offered by the Department of Computer Science Engineering & Technology under Academic Regulation of NEP 2020 is prepared in accordance with the curriculum framework of AICTE, UGC and Maharashtra State Council of Higher Education, National Higher Education Qualifications Framework (NHEQF) and National Credit Framework (NCrF). Further this Outcome Based Curriculum (OBC) is designed with Choice Based Credit and Semester System (CBCSS) enabling the learners to gain professional competency with multi-disciplinary approach catering the minimum requirement (Program Specific Criteria) of Lead Societies like AICTE, ACM and other Professional Bodies as per the Engineering Accreditation Commission (EAC) of ABET and NBA. In addition, the curriculum and syllabi are designed in a structured approach by deploying Feedback Mechanism on Curriculum from various stakeholders viz. Industry, Potential Employers, Alumni, Academia, Professional Bodies, Research Organizations and Parents to capture their voice of the respective stakeholders. The Curriculum design, delivery, and assessment, the three major pillars of academic system is completely aligned in line with Outcome Based Education (OBE) to assess and evaluate the learning outcomes to facilitate the learners to achieve their Professional and Career Accomplishments.

After due deliberations, the scheme and syllabus have been formulated. Salient features of this model curriculum are enumerated as under:

• Adequate number of credits.
• Well defined learning objectives & outcomes for each course.
• Inclusion of courses on socially relevant topics.
• Built-in flexibility to the students in terms of professional elective and open elective courses and minor course.
• Mandatory internship to equip the students with practical knowledge and provide them exposure to real time industrial environments
• Mapping of Courses to its equivalent NPTEL/SWAYAM Course

To develop engineers well versed with Critical Theory and Practical's (problem solving ability); and sensitive to National and Global challenges from Inter-disciplinary perspective. To create Industry ready; socially and ethically strong professionals.

To develop Computer Professionals by imparting computer engineering knowledge with professional ethics. To provide the service to the communities to which we belong at local and national levels, combined with a deep awareness of our ethical responsibilities to our profession and to society.

• To provide students with a comprehensive understanding of the principles and theories of AI & ML.
• To equip students with the practical skills necessary to design and implement AI/ML algorithms, models, and systems.
• To introduce industry-relevant topics to prepare them for successful careers in AI and ML engineering.

• To provides opportunities for hands-on experience with real-world data and problems.
• To explore the interdisciplinary nature of AI and ML by incorporating concepts from diverse fields such as computer science, mathematics, psychology, philosophy, and neuroscience.
• To prepare students for advanced research in AI and ML by providing opportunities to participate in research projects with faculty members.