B.Tech in Artificial Intelligence & Machine Learning (AI & ML)
The B.Tech in Artificial Intelligence & Machine Learning (AI & ML) programme at Shri Davara University is designed to equip students with advanced knowledge of intelligent systems, machine learning algorithms, deep learning, automation, and data-driven technologies, preparing them for careers in the rapidly evolving AI industry.
Programme Overview
Admission Procedure
Career Path
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Deep Learning Engineer
- Data Scientist
- AI Software Developer
- Computer Vision Engineer
- Natural Language Processing (NLP) Engineer
- Robotics Engineer
- Automation Engineer
- AI Research Scientist
- Cloud AI Engineer
- Intelligent Systems Developer
- AI Consultant
- Business Intelligence Analyst
- Higher Studies (M.Tech, MS, MBA, Ph.D.)
Programme Outcomes
PO1: Engineering Knowledge
Apply engineering, mathematical, and computing principles to develop intelligent AI and machine learning solutions.
PO2: Problem Analysis
Analyse complex computational problems and formulate AI-driven solutions using appropriate algorithms and models.
PO3: Design & Development
Design, develop, and deploy intelligent systems that address real-world challenges using AI and machine learning techniques.
PO4: Investigation
Conduct experiments, evaluate machine learning models, analyse data, and interpret results using scientific methods.
PO5: Modern Tool Usage
Utilise modern AI frameworks, programming tools, cloud platforms, and machine learning technologies effectively.
PO6: Professional Ethics
Demonstrate ethical responsibility by developing secure, fair, transparent, and responsible AI solutions.
PO7: Environment & Sustainability
Apply AI technologies to create innovative solutions that support sustainable development and societal well-being.
PO8: Individual & Team Work
Function effectively as an individual and as a member or leader of multidisciplinary teams in AI-driven projects.
PO9: Communication
Communicate technical knowledge, research findings, and AI solutions effectively through professional presentations, reports, and documentation.
PO10: Project Management
Apply project management principles, leadership, and entrepreneurial skills in the planning and execution of AI-based projects.
PO11: Lifelong Learning
Recognize the need for continuous learning and adapt to emerging advancements in artificial intelligence, machine learning, and related technologies.