Program Overview
AI and Machine Learning Program
The AI and Machine Learning program at UTS is designed to equip employees with the knowledge and skills necessary to leverage automation and develop predictive models, driving innovation and sustainable growth.
Program Overview
The program offers world-class expertise in Artificial Intelligence across diverse domains, including machine learning, computer vision, big data, enabling technologies, and business intelligence. It focuses on developing critical soft skills needed to excel in these fields.
Flexible Learning
UTS provides flexible learning options, ranging from micro-learning courses to 8-week microcredentials, catering to organization leaders, data professionals, and broader business audiences. Courses are available online, both live and asynchronously, for a deep and engaging learning experience.
Collaborative Course Design
The program involves subject-matter experts and affiliates in creating content tailored to organizational needs, with a dedicated learning design team guiding the process to develop interactive and engaging learning experiences.
Course Topics
The program offers a range of course topics, including:
- For leaders
- Intro to AI for Leadership: An overview of AI technologies, their strategic business implications, and covers AI fundamentals, emerging trends, practical applications, and ethical challenges for leaders.
- Ethical AI for Good Business: Equipping non-technical leaders to navigate the challenges of the fourth industrial revolution by developing ethical, safe, and transparent AI practices.
- Building an Enabled Organisation: Emphasizing AI literacy and experimentation within organisations, highlighting its integration with current business practices and its potential as a scalable, though imperfect, "employee."
- For data professionals
- Foundational AI Concepts: Introducing Artificial Neural Networks (ANN), computer vision, and autonomous systems, exploring model development and deployment, and explaining the unique capabilities of generative AI compared to traditional machine learning.
- Deep Dive into Data Concepts: A detailed exploration of data sets, including API, web scraping, IoT, and data lakes, with a focus on how they facilitate generative AI.
- AI Application: Building a chatbot using multiple generative AI models, comparing their practical performance, and exploring applications in robotics, image processing, and data upscaling.
- For broader business
- Intro to Data & AI: Core concepts in data analytics and AI, highlighting the benefits of data-driven decision-making and the potential opportunities and limitations of AI in business.
- Responsible AI: Covering the basics of AI, its role in technological ethics, its impact on human rights, and the ethical standards, frameworks, and regulations organisations need to follow.