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info@gku.ac.in
99142-83400
Bachelor of Vocation in AI & Machine Learning
Graduate
3 Years
About the Programme
Guru Kashi University’s B.Voc in AI & Machine Learning equips students with applied skills in artificial intelligence, data processing, predictive modeling, and automation. The program focuses on practical training in AI tools, Python programming, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Industry relevance is immense, with AI and ML driving transformations in healthcare, finance, robotics, and business analytics. The program’s skill-oriented structure ensures graduates are industry-ready for one of the fastest-growing job markets globally.
Eligibility Criteria
- 10+2 with Mathematics/Computer Science preferred.
- Minimum 45–50% aggregate marks.
- No age limit; candidates with prior coding knowledge will benefit.
Program Outcomes
AI Foundations
Strong understanding of artificial intelligence concepts.
Machine Learning Models
Ability to build supervised and unsupervised models.
Programming Proficiency
Expertise in Python, R, and ML libraries.
Problem Solving
Applying AI techniques to solve real-world challenges.
Industry Tools
Training in TensorFlow, PyTorch, Keras, and cloud AI services.
Data Management
Handling and analyzing structured and unstructured data.
Ethics in AI
Awareness of ethical implications and responsible AI use.
Career Readiness
Practical project-based learning for industry placements.
Programme Educational Objectives (PEO)
01
To prepare graduates for roles in AI-driven industries.
02
To foster innovation in intelligent systems development.
03
To equip students with lifelong learning for fast-changing AI technologies.
04
To bridge academia and industry through hands-on projects.
05
To promote ethical and sustainable AI solutions.
ON THIS PAGE
Career path you can
choose after the course
- AI Engineer
- Machine Learning Developer
- Data Scientist
- NLP Specialist
- AI Consultant
- Business Intelligence Analyst
- Research Assistant in AI labs
Students of this programme are placed in companies with an
average annual
package of 3.51 LPA to 12.00 LPA
