Embark on a journey into the future of technology with HRIT University’s M.Tech in Artificial Intelligence and Machine Learning. This two-year program is designed for innovative minds ready to explore the transformative potential of AI and ML across various domains. As industries increasingly rely on intelligent systems, this program empowers you to develop cutting-edge solutions that address complex challenges and drive progress.
The curriculum encompasses a comprehensive range of topics, including:
- Advanced Machine Learning Techniques
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
- Data Mining and Analytics
- Cloud Computing for AI Applications
- Reinforcement Learning and Intelligent Systems
With a strong emphasis on practical experience, students will engage in hands-on projects, utilizing popular frameworks like TensorFlow, Keras, and PyTorch. You’ll also have the opportunity to collaborate with industry partners and gain insights into real-world applications.
Programme Educational Objectives
- PEO1: Graduates will demonstrate advanced knowledge and skills in artificial intelligence and machine learning, enabling them to solve complex problems effectively.
- PEO2: Graduates will engage in continuous learning and professional development to stay updated with evolving technologies and industry trends.
- PEO3: Graduates will contribute to research and innovation, showcasing their ability to lead projects that impact society positively.
- PEO4: Graduates will uphold ethical standards and exhibit professionalism in their engineering practices.
Programme Outcomes (POs)
- PO1: Engineering Knowledge: Apply knowledge of mathematics, science, and engineering fundamentals to complex AI and ML problems.
- PO2: Problem Analysis: Analyze and formulate solutions to complex engineering challenges using advanced AI techniques.
- PO3: Design/Development of Solutions: Design and develop AI-based solutions that meet specified needs while considering public health, safety, and sustainability.
- PO4: Conduct Investigations: Utilize research methods and experimental design to validate AI models and systems.
- PO5: Modern Tool Usage: Employ contemporary engineering tools and techniques in AI applications, understanding their limitations.
- PO6: The Engineer and Society: Assess the societal impacts of AI technologies and fulfill professional responsibilities.
- PO7: Environment and Sustainability: Recognize the importance of sustainable practices in AI development and deployment.
- PO8: Ethics: Adhere to ethical principles in AI research and application.
- PO9: Individual and Team Work: Collaborate effectively in diverse teams and interdisciplinary settings.
- PO10: Communication: Communicate complex technical concepts clearly and effectively.
- PO11: Project Management and Finance: Manage projects effectively, integrating engineering and management principles.
- PO12: Life-long Learning: Embrace lifelong learning to adapt to rapid technological advancements.
Program Specific Outcomes (PSOs)
- PSO1: Ability to develop innovative AI solutions that address industry-specific challenges.
- PSO2: Proficiency in implementing machine learning algorithms and frameworks for practical applications.
- PSO3: Skills in leveraging cloud computing platforms for deploying AI solutions at scale.
This course is for individuals who
Are passionate about exploring the depths of artificial intelligence and machine learning. Ideal candidates possess strong analytical skills, a knack for problem-solving, and a desire to innovate in technology-driven fields.
Students who are looking for
An exciting career path in AI, data science, and machine learning. This program equips you with the skills to thrive in various roles such as AI Engineer, Data Scientist, Machine Learning Specialist, and Research Scientist.
Join HRIT University’s M.Tech in Artificial Intelligence and Machine Learning, and be part of the revolution shaping our technological future!
