Master Courses
.Technology & Innovation.
Master of Artificial Intelligence and Machine Learning
Overview
This master program focuses on the theory, algorithms, and practical applications of AI and ML. Students will explore topics like deep learning, natural language processing, computer vision, and ethical AI development. The curriculum blends academic rigor with industry-relevant practices, preparing graduates to excel in cutting-edge roles.
Duration: 1 to 2 years (Full-time or Part-time options available).
Learning Method: Online, face-to-face, or hybrid.
Objective: To develop experts capable of designing, implementing, and leading AI and ML projects in diverse sectors.
Minimum qualification: Completion of a Bachelor’s degree or equivalent in computer science, mathematics, engineering, or related fields.
Recommended Background: Strong foundation in mathematics (linear algebra, calculus, probability) and programming. Experience or interest in AI, ML, or data science is highly beneficial.
1. Comprehensive AI Curriculum: In-depth exploration of AI theories, techniques, and applications.
2. Hands-On Learning: Real-world projects in AI and ML, leveraging industry-standard tools and platforms.
3. Interdisciplinary Approach: Integration of AI with business, healthcare, robotics, and more.
4. Ethical AI Development: Emphasis on responsible AI practices and societal impact.
1. Technical Proficiency: Master advanced AI and ML algorithms and frameworks.
2. Innovative Solutions: Develop and deploy AI models to solve complex problems.
3. Analytical Thinking: Use data-driven approaches to guide AI decision-making.
4. Leadership in AI Projects: Manage cross-functional teams in AI-driven initiatives.
Module Guide
1. Foundations of Artificial Intelligence: Principles and history of AI development.
2. Machine Learning Algorithms: Supervised, unsupervised, and reinforcement learning techniques.
3. Programming for AI: Python, TensorFlow, and PyTorch for AI model development.
4. Ethical and Responsible AI: Understanding the societal impact of AI technologies.
1. Deep Learning: Advanced neural networks and applications in vision and speech.
2. Natural Language Processing (NLP): Language models, text analysis, and conversational AI.
3. AI in Real-World Applications: AI for healthcare, finance, and robotics.
4. Capstone Project: End-to-end development of an AI system for a real-world challenge.
Certification
Graduates earn a Master of Artificial Intelligence and Machine Learning degree from Quantum Infinity Education, recognized internationally and signifying their advanced expertise in AI and ML technologies.
Course Fees
Fees for domestic students range from $25,000 to $30,000 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 !