Degree Courses
.Technology and Engineering.
Bachelor of Artificial Intelligence Engineering
Overview
This bachelor's degree program emphasizes a strong foundation in engineering principles, programming, and mathematics while integrating specialized knowledge in artificial intelligence. Students will explore topics such as machine learning, robotics, computer vision, and natural language processing. Through hands-on projects and research opportunities, learners will develop practical skills and a deep understanding of AI applications.
Duration: 3 years (Full-time or Part-time options available).
Learning Method: Online, face-to-face, or hybrid.
Objective: Equip students with engineering knowledge and AI expertise to solve real-world challenges and drive technological innovation.
Minimum qualification: Completion of high school or equivalent with strong academic performance and a recognized diploma or foundation in a related field.
Recommended Background: Interest in engineering, AI, and technology. Basic knowledge of programming, mathematics, or computer science is beneficial.
1. A comprehensive curriculum blending engineering and AI.
2. Hands-on projects and real-world applications.
3. Access to AI research labs and cutting-edge tools.
4. Collaboration with industry partners for internships and workshops.
5. Global networking opportunities and career pathways.
Module Guide
1. Introduction to AI and Engineering Principles: Basics of engineering and AI concepts.
2. Programming for Engineers: Master programming languages like Python, Java, and C++.
3. Mathematics for AI: Linear algebra, calculus, and probability theory.
4. Data Structures and Algorithms: Core computational techniques for AI development.
1. Machine Learning Fundamentals: Supervised, unsupervised, and reinforcement learning.
2. Engineering Systems and Automation: Building intelligent systems and automating workflows.
3. Computer Vision and Image Processing: Techniques for image recognition and video analysis.
4. Ethics and Sustainable AI Engineering: Responsible AI development and environmental considerations.
1. Deep Learning and Neural Networks: Advanced neural network architectures and applications.
2. Natural Language Processing: Techniques for language understanding and generation.
3. Robotics and Autonomous Systems: Developing robots and systems powered by AI.
4. Capstone Project: Design and implementation of an AI-driven engineering solution addressing real-world challenges.
Certification
Graduates will earn the Bachelor of Artificial Intelligence Engineering from Quantum Infinity Education. This degree recognized internationally and signifies comprehensive knowledge and technical expertise in AI engineering principles and applications.
Course Fees
Fees for domestic students range from $10,000 to $15,000 per year. The cost reflects the comprehensive learning resources, industry exposure, and high-quality education provided. Flexible payment plans and installment options are available.
Any Questions?
Send a comment to us !