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M.Tech.-Ph.D. Dual Degree in Artificial Intelligence

Introduction
Artificial Intelligence (AI) is a branch of computer science that aims to create machines to act with higher levels of intelligence and emulate the human capabilities of sense, comprehend and act. The core problems of artificial intelligence include programming computers for certain traits such as Knowledge, Reasoning, Problem-solving, Perception, Learning and Planning. AI technology development and applications are evolving rapidly with major implications for economies and societies. As the demand for such applications increases, there is also an increasing need for building the future workforce for AI. For developing the AI ecosystem, this program will be oprated in synergy with other M.Tech programs running in IIT Jodhpur, such as Sensors & IoT, Cyber-Physical Systems, and Advanced Manufacturing and Design.

Objective of the Program
This M.Tech.-Ph.D. Dual Degree in AI programme will offer students with deep knowledge of both fundamental AI technologies, as well as application-oriented AI. A student completing this program will be capable to undertake careers in industry as well as academia. He/She will have the option to explore a variety of domains including Manufacturing, Fintech, Healthcare, Agriculture/Food Processing, Education, Retail/Customer Engagement, Human and Robot interaction/intelligent automation, Smart City, Aid for Differently Abled/Accessibility Technology.

Expected Graduate Attributes :
After completing this programme, a student will be able to develop an ability to:
1. Comprehend fundamental concepts and hands-on techniques of the state-of-the-art  AI methodologies.
2. Design and build real-world AI systems involving automated reasoning, planning and decision making for solving application-specific problems
3. Conceive, Design and Develop Intelligent multi-modal multi-sensory Man Machine interfaces
4. Design, Develop and Deploy machine learning based applications using structured and unstructured data
5. Understand and Assess reliability, dependability and trust-worthiness of  AI-based systems
6. Design and develop AI applications for resources constrained environments
7. Adhere to evolving ethics and privacy laws across various governments and territories.
8. Plan and manage technical projects

Learning Outcome
1. Strong fundamentals of Machine Learning, Inference Engines, Speech, Vision, Natural Language Understanding, Robotics, and Human Computer Interaction.
2. Hands-on knowledge of state-of-the-art AI tools for real-world problem-solving.
3. Appreciation of models of human cognition and their applicability for the development of AI techniques and systems.
4. Engineering skills for development of real-time and robust AI-based systems with specific software, hardware and data requirements.
5. Skills for carrying out projects using cognitive algorithms for getting insights for stakeholder management, risk modeling, resource scheduling and data modeling.
6. Ability to build solutions to explore fully immersive computer-generated worlds (in VR), and overlay computer graphics onto our view of our immediate environment (AR) with smart, cognitive functionality.
7. Satisfactory Technical Communication Skill.
8. Plan and manage technical projects