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info@gku.ac.in
99142-83400
B.Tech. (Artificial Intelligence & Machine Learning) (AIML)
Graduate
4 Years
About the Programme
The B.Tech in Artificial Intelligence & Machine Learning at Guru Kashi University prepares students for the future of computing by focusing on advanced machine learning algorithms, natural language processing, deep learning, and AI applications. With state-of-the-art labs, industry tie-ups, and projects, the program builds expertise in applying AI to real-world challenges.
Industry relevance is immense, as AIML is driving breakthroughs in healthcare, finance, education, autonomous systems, and more. This program ensures that students are equipped with the knowledge and skills required to innovate and excel in the global digital economy.
Eligibility Criteria
- 10+2 with PCM (Physics, Chemistry, Mathematics).
- Minimum 50% aggregate (45% for reserved categories).
- Entrance test/university assessment required.
Program Outcomes
Machine Learning Proficiency
In-depth understanding of ML algorithms and their applications.
Deep Learning Skills
Ability to design and train neural networks for AI solutions.
Programming Expertise
Gain command over Python, R, TensorFlow, and related tools.
AI Applications
Knowledge to develop AI-based solutions across industries.
Data Science Capability
Strong grounding in handling and analyzing large datasets.
Ethical AI Use
Understanding of fairness, accountability, and transparency in AI.
Problem-Solving Skills
Ability to address industry challenges using AIML techniques.
Research Orientation
Develop innovative approaches for AI and ML research.
Collaboration
Work effectively in multidisciplinary teams.
Adaptability
Capacity to keep pace with rapidly advancing AI trends.
Programme Educational Objectives (PEO)
01
Advanced Competence – Prepare graduates with deep expertise in AI and ML technologies.
02
Global Employability – Equip students to secure roles in leading tech industries worldwide.
03
Research & Innovation – Encourage graduates to contribute to AI research and new technologies.
04
Entrepreneurship Drive – Inspire the creation of AIML-driven startups and enterprises.
05
Social Impact – Ensure graduates apply AI responsibly to benefit humanity.
ON THIS PAGE
Career path you can
choose after the course
- AI/ML Engineer
- Data Scientist
- Deep Learning Specialist
- NLP Engineer
- AI Research Scientist
- Cloud AI Developer
- Automation Engineer
- AI Product Manager
- University Faculty/Researcher
- Entrepreneur in AI/ML Solutions
Students of this programme are placed in companies with an
average annual
package of 3.51 LPA to 12.00 LPA
