Objectives of the Programme:

PEO 1: Demonstrate advanced knowledge, analytical capabilities, and technical skills in artificial intelligence to design, develop, and evaluate intelligent systems capable of learning, reasoning, generalization, and autonomous decision-making across diverse application domains.
PEO 2: Apply modern AI techniques, including machine learning, deep learning, knowledge representation, and agentic AI, to develop scalable, adaptive, and human-centered intelligent solutions that address emerging industrial, societal, and research challenges while ensuring responsible and ethical AI practices.
PEO 3: Exhibit professional competence, innovation, teamwork, ethical responsibility, and a commitment to lifelong learning to adapt to rapid advancements in Artificial General Intelligence and contribute effectively in academia, research, entrepreneurship, and industry.

Outcomes of the Programme:

1. Analyze and evaluate artificial intelligence models, intelligent systems, and autonomous agents using appropriate methodologies, tools, and performance metrics.
2. Apply modern AI tools, frameworks, and techniques, including machine learning, deep learning, and knowledge-based systems, for modeling, development, and deployment of intelligent solutions.
3. Design and implement intelligent systems that integrate learning, reasoning, decision-making, and agentic capabilities to solve complex real-world problems.
4. Develop and evaluate scalable AI solutions capable of handling large and complex datasets, while ensuring adaptability, generalization, and efficient performance.
5. Implement generative AI models and autonomous systems for innovative applications across diverse domains.

Programme Scheduling Format: Evening / Weekend

Minimum Entry Level:

Applicants must possess a minimum of 14 years of education with minimum 45% passing marks from an HEC recognize institution with relevant background.