Diploma Courses
.Technology & Innovation.
Diploma in AI Innovation & Machine Learning

Overview
This diploma program is designed to provide students with foundational knowledge and hands-on experience in Artificial Intelligence (AI) and Machine Learning (ML). It focuses on equipping learners with technical skills and critical thinking abilities required for careers in this rapidly evolving field.
Duration: 1 to 2 years (Full-time or Part-time options available).
Learning Method: Online, face-to-face, or hybrid.
Objective: Understand AI and ML concepts and applications, develop programming and data analysis skills, create innovative AI-driven solutions.
Minimum qualification: High school diploma or equivalent.
Recommended Background: Mathematics and programming is recommended but not mandatory.
1. Industry-focused curriculum.
2. Practical learning with projects and case studies.
3. Internship opportunities in tech companies.
4. Access to cutting-edge tools and resources.
Module Guide
1. Introduction to Artificial Intelligence: Fundamentals of AI, history, and applications.
2. Programming for AI: Core languages like Python, R, and Java.
3. Mathematics for AI: Linear algebra, calculus, and probability.
4. Machine Learning Basics: Supervised and unsupervised learning, regression, and classification.
1. Deep Learning and Neural Networks: CNNs, RNNs, and GANs applications.
2. Natural Language Processing (NLP): Chatbots, sentiment analysis, and text processing.
3. Computer Vision: Image recognition, video analysis, and AR applications.
4. AI Ethics & Society: Ethical considerations, bias, and AI regulations.
5. Capstone Project: Real-world AI application project under mentorship.
Certification
Graduates will be awarded the Diploma in AI Innovation & Machine Learning by Quantum Infinity Education. This diploma signifies a strong foundational knowledge of AI principles, machine learning techniques, and their applications across industries.
Recognized internationally, the diploma demonstrates the graduate’s readiness to contribute to AI and machine learning projects in various domains.
Course Fees
The course fees for domestic students range from $5,000 to $10,000, and mode of study chosen. These fees are designed to be competitive and accessible, ensuring that students receive top-quality education without financial strain. Flexible payment plans may also be available to accommodate individual financial situations.
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