Vision Mission of the Department
Vision
To bring forth technically versatile, Research oriented, Industry ready engineers in the field of Artificial Intelligence and Machine Learning
Mission
Facilitate modern infrastructure and versatile learning resources to produce self-sustainable professionals
Facilitate project based learning and skill upgradation through industry collaborations
Inculcate professional ethics, leadership qualities and practice lifelong learning
Program Specific Outcomes (PSOs):
PSO1: Graduates will have the ability to adapt, contribute and innovate ideas in the field of Artificial Intelligence and Machine Learning.
PSO2: To provide a concrete foundation and enrich their abilities to qualify for Employment, Higher studies and Research in various domains of Artificial Intelligence and Machine Learning such as Data Science, Computer Vision, Natural Language Processing with Ethical Values.
PSO3: Graduates will acquire the practical proficiency with niche technologies and open-source platforms and to become Entrepreneur in the domain Artificial Intelligence and Machine Learning.
Program Educational Objectives (PEOs):
PEO1: Attain proficiency in professional practice
PEO2: Practice technical skills to identify, analyze and solve complex problems related to Artificial Intelligence and Machine Learning.
PEO3: Emerge as an Individual or a team member with societal concerns, ethics and motivated for holistic learning.
Course Objectives
Explore the knowledge of AI and ML concepts and practice to groom students into well informed application developers.
Demonstrate the knowledge of human cognition, Artificial Intelligence, Machine Learning and data engineering for designing intelligent systems.
Apply computational knowledge and project development skills to provide innovative solutions.
Strong practice in AI and ML programming through a variety of AI and ML problems.
Develop AI and ML applications using front-end and back-end tools.
Course Outcomes
At the end of the course the student will be able to:
Will Explore the knowledge of AI and ML concepts in to the real world applications.
Able to acquire the knowledge of human cognition, Artificial Intelligence, Machine Learning and data engineering for designing intelligent systems.
To have strong practice in AI & ML programming through a variety of AI & ML problems.
Learn to apply computational knowledge and project development skills to provide innovative solutions.
To develop AI & ML applications using front-end and back-end tools.
List of Experiments
Lesson Plan
![](https://www.google.com/images/icons/product/drive-32.png)
Lab Manual
![](https://www.google.com/images/icons/product/drive-32.png)
Lab Manual