Computer Science and Engineering (Artificial Intelligence & Machine Learning)

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Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Course Overview:

  1. The program offers a balanced mix of theoretical and practical coursework in artificial intelligence and machine learning, covering topics such as deep learning, reinforcement learning, and probabilistic models.
  2. Students participate in collaborative projects that require the application of AI and ML techniques to solve complex, interdisciplinary problems.
  3. Courses are designed to provide in-depth knowledge of both AI and ML, enabling students to build and deploy intelligent systems that learn and adapt.
  4. Special emphasis is placed on the ethical implications of AI and ML, ensuring students understand the societal impacts of their work and can develop responsible solutions.

Program objectives:

Our program integrates artificial intelligence and machine learning for interdisciplinary problem-solving, preparing graduates to tackle real-world challenges.
Emphasis is placed on leadership in AI and ML research, encouraging graduates to contribute to advancements in the field.
Ethical AI innovation is fostered, ensuring graduates prioritize responsible AI development and deployment.
Graduates develop proficiency in both AI and ML disciplines, equipping them for diverse roles in industry and research.

Computer Science and Engineering (Artificial Intelligence & Machine Learning) Program Outcomes:

Graduates will be able to develop and optimize machine learning models to solve a wide range of problems across different domains.
They will demonstrate proficiency in implementing deep learning and reinforcement learning algorithms for advanced applications.
Graduates will gain the ability to integrate AI and ML techniques to create adaptive and intelligent systems.
They will be prepared to address ethical and societal impacts of AI and ML technologies, ensuring responsible use in their professional careers.
Career Scope
  1. Roles as Machine Learning Engineers are available, focusing on developing and optimizing ML models for various applications.
  2. Opportunities also exist as AI Research Scientists, to contribute to cutting-edge research projects in AI and ML.
  3. Data Scientist/Analyst positions are open to graduates, involving data analysis and predictive modeling for diverse industries.
  4. Graduates may explore roles as AI Solutions Architects, designing and implementing end-to-end AI solutions for business challenges.



Get our complete information for the engineering courses we offer by downloading the brochure.

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