- Level 5
- 16 Weeks
- queenstown
- Intakes in August
Unlock a World of Opportunities with Our Certificate in Machine Learning Fundamentals: Hands-On, Real-World Focused, and In-Person
The explosive growth of AI technologies, such as ChatGPT and Midjourney, has led to an unprecedented demand for machine learning experts worldwide. Now is the perfect time to ride this wave of innovation and break into the exciting world of machine learning. Our Certificate in Machine Learning Fundamentals, based in New Zealand, offers inclusion to entry every group of learners (including neurodiverse). Our classes ensure that anyone— without prior experience in coding and statistics!
Experience Comprehensive, In-Person Learning with a Strong Focus on Real-World Applications
Our in-person classes provide an interactive and collaborative learning environment that will immerse you in the foundations of Machine Learning (ML) and Artificial Intelligence (AI). Engaging with experienced instructors and peers, you’ll develop a deep understanding of the practical applications of these technologies.
In this cutting-edge course, you’ll delve into the core principles of machine learning, including:
- Supervised and unsupervised learning algorithms
- Regression and classification techniques for ML applications
- Utilising industry-standard ML libraries, such as Scikit-learn and Keras, to generate accurate predictions and build powerful models
- Creating and documenting datasets
- Implementing Responsible AI (in the context of Maori and Pasifika) and business ethics in ML systems
- Applying and enhancing deep learning systems, like ChatGPT
Learn by Doing: Gain the Skills Needed for Real-World Success
This course is designed for a diverse range of individuals, from high school students to university students, professionals seeking to expand their knowledge, and career shifters eager to enter the tech industry. With no prior programming & statistics background required, anyone can benefit from this comprehensive programme.
Our hands-on approach to teaching ensures that you’ll learn the theoretical aspects of machine learning and gain valuable experience in applying these concepts to real-world scenarios.
Our highly qualified instructors are industry experts with the necessary experience and credentials to guide you through your journey in the ever-growing and dynamic world of Artificial Intelligence, ensuring you receive the best possible education and support.
Programme at a glance
16 Weeks | Level 5 | Credits: 60
Machine Learning Micro-credentials comprising of a: Certificate in Machine Learning Fundamentals, Certificate in Responsible AI and Machine Learning Team Project
Delivered at our: Queenstown Campus
Certificate in Machine Learning Fundamentals | 40 Credits.
Course Content:
- Introduction to Machine Learning
- Predicting Unknown Values with Machine Learning Models
- Constructing and documenting datasets
- Responsible AI and Business Ethics
- Introduction to Deep Learning
Certificate in Responsible AI | 10 Credits.
Course Content:
- The components of Responsible AI that are relevant to contemporary scenarios
- Distinguishing uses and end users of AI systems
- Using ethics to inspect aspects of datasets
- Comparing the different roles that are responsible and accountable for an AI system
- An ethical evaluation of an AI system
Machine Learning Team Project | 10 Credits.
Course Content:
- Understanding the relationship of Machine Learning with Responsible AI and business ethics
- Collaborating, problem solving, and communicating in teams to improve machine learning systems
- Presenting findings and results of machine learning systems to internal stakeholders
2023 Fees
Tuition fees are subject to annual increases and the current fees are for applications received prior to 31st October 2023.
2023 Tuition Fees | |
---|---|
Domestic Students Machine Learning (60 Credits) | $3,600 |
International Students Machine Learning (60 Credits) | $9,000 |
Dates | |
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August 2023 | 21st August - 27th October 2023 30th October - 3rd November 2023 Recess 6th November - 15th December 2023 |