Master of Applied Artificial Intelligence offered by Deakin University
- Public University
- 5 Campuses
- Estd. 1974
Master of Applied Artificial Intelligence at Deakin University Overview
Duration | 24 months |
Start from | Start Now |
Total fee | ₹51.72 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Master of Applied Artificial Intelligence at Deakin University Highlights
- Earn a degree from Deakin University
- Learn from industry experts
Master of Applied Artificial Intelligence at Deakin University Course details
- For individuals who want to enhance their knowledge & skills in the field
- Gain a thorough grasp of core AI concepts like machine learning, deep learning, and reinforcement learning
- Develop advanced knowledge of specific algorithms and their applications in areas like computer vision, natural language processing, and robotics
- Learn to design, build, and implement software systems that leverage AI for various purposes
- Develop the ability to evaluate existing AI solutions and assess their effectiveness for specific tasks
- Learn to consider the ethical and practical implications of introducing AI solutions in different contexts
- Artificial intelligence (AI) is driving digital disruption, with new technology helping redefine many industries
- Many companies are looking to take advantage of recent advances in AI, which is creating a large demand for skilled professionals around the globe
- Deakin’s Master of Applied Artificial Intelligence equips you with the specialist knowledge and skills necessary to design and develop software solutions that harness the latest advances in AI
- This course develops your understanding of AI technologies, deep learning, reinforcement learning and the application of these algorithms in computer vision and speech processing
Master of Applied Artificial Intelligence at Deakin University Curriculum
Academic Integrity Module
Part A: Foundation Information Technology Studies
Object-Oriented Development
Database Fundamentals
Software Requirements Analysis and Modelling
Web Technologies and Development
Part B: Introductory Artificial Intelligence Studies
Machine Learning
Mathematics for Artificial Intelligence
Professional Practice in Information Technology
Plus one level 7 SIT elective (one credit point)
Part C: Mastery Applied Artificial Intelligence Studies
Deep Learning
Reinforcement Learning
Human Aligned Artificial Intelligence
Robotics, Computer Vision and Speech Processing
Engineering AI Solutions
Natural Language Processing
Team Project (A) - Project Management and Practices ~
Team Project (B) - Execution and Delivery
Master of Applied Artificial Intelligence at Deakin University Entry Requirements
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Master of Applied Artificial Intelligence at Deakin University Contact Information
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Victoria 3125 Australia
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