Diploma in Artificial Intelligence and Machine Learning *
Artificial Intelligence (AI) and Machine Learning (ML) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. AL & ML deals with the most significant and disruptive innovations of this century i.e. self-driving cars, robotic assistants, and automated disease diagnosis are all products of an emerging AI revolution.
Department of AI ML consists of several overlapping disciplines
understanding programming, analytics, statistics, Computer
Science. The department’s mission is to – Train students to have a
sound understanding of the fundamentals of the theory and
practical of AI & ML. Enable students to become leaders in the
industry and academia nationally and internationally. Meet the
pressing demands of the nation in the areas of AI & ML.
Vision
To be the most sought after department of Artificial Intelligence and Machine Learning of AIARKP that others would wish to emulate.
Mission
Creating Exuberant Artificial Intelligence and Machine Learning Engineering Professionals.
Mr. Ali Karim Sayed
The Departments have the proud privilege of having exceptionally qualified, dedicated and scholastic Faculty to impart knowledge in varied spheres including the latest technologies. The students get opportunities to excel in their academic achievements. The department arranges various value added courses like .NET, JAVA, PHPMYSQL etc., for the students so that they compete with the outside world.
Key Objectives and Areas of Focus
Department of AI ML consists of several overlapping disciplines understanding programming, analytics, statistics, Computer Science. The department’s mission is to – Train students to have a sound understanding of the fundamentals of the theory and practical of AI & ML. Enable students to become leaders in the industry and academia nationally and internationally. Meet the pressing demands of the nation in the areas of AI & ML.
Key Objectives
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Mission Elements
- To implement the Outcome Based Education (OBE) model for ensuring students’ learning by innovative teaching.
- To provide state of art laboratories, modern equipment and latest computer peripheral.
- To regularly organize skill imbibing and personality development programs that would mould students into complete human resource preferred by industry and society at large.
- To encourage up-gradation of faculty qualifications and their self-development leading to honing their innovative teaching skills, research and practice.
- To develop professional and leadership qualities.
About AIML Engineering
AIML engineers continually push the capability and applicability of computers in every industry and every facet of modern life.
Objective
Our objective is to commit ourselves to achieve fantastic in training, analysis and application of current technological innovation in the field of Computer Engineering .
Establishment
The Department of Artificial Intelligence and Machine Learning was started in the year 2021 .The department of Artificial Intelligence and Machine Learning started with an intake of 60.
Program Outcomes
An ability to apply knowledge of basic mathematics, science and engineering to solve the engineering problems.
An ability to apply discipline – specific knowledge to solve core and/or applied engineering problems.
An ability to plan and perform experiments and practices and to use the results to solve engineering problems.
Apply appropriate technologies and tools with an understanding of the limitation.
Demonstrate knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to engineering practice.
 Understand the impact of the engineering solutions in societal and environmental contexts, and demonstrate the knowledge and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse/multidisciplinary teams.
An ability to communicate effectively, write effective report ,design documentation and make effective presentation.
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the context of technological changes.
Program Specific Outcomes (PSOs)
- PSO – 1. Students will able to design software and computer based system using latest and advanced technologies in computer hardware and software field.
- PSO – 2. Apply knowledge of computer engineering and an understanding of management principles for applying them while managing software and hardware projects.
Program Educational Outcomes (PEOs)
- PEO – 1. Provide socially responsible, environment friendly solutions to Computer engineering related broad-based problems adapting professional ethics.
- PEO – 2. Adapt state-of-the-art Computer engineering broad-based technologies to work in multidisciplinary work environments.
- PEO – 3. Solve broad-based problems individually and as a team member communicating effectively in the world of work.
