AI and ML risk management
So you’re embarking on an Artificial Intelligence and Machine Learning project. Learn to integrate these concepts into your Risk Management Strategy (RMS).
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Next class: Refer to timetable
Duration
6 weeks
Format
Instructor-led online
Time
2 (in-class) + 3-4 (self) hours per week
Language
English
Pre-requisites
None
Price
$2,500 AUD
76% of enterprises surveyed in Algorithmia’s 2021 report plan to prioritize AI and machine learning initiatives over other IT goals in 2021.
The entertainment giant Netflix is also known for its use of machine learning and AI software in content recommendations, which the company reports as saving $1 billion per year.
Course Overview
You're a risk professional that wants to expand your operational risk skills into Emerging Technology. Perhaps you're a data science professional that needs to upskill on the risk side in order to take your machine learning model and Proof of Concept (PoC) further and embed into the operations of the business.
In this course, you will learn the strategic side of risk in change as it relates to the adoption of artificial intelligence and machine learning such that you can effectively govern the testing, deployment and model refinement. These steps will inherently bring changes to your BU's risk profile, prompt you to revisit the controls that have become obsolete and highlight heightened risk exposures that need to be addressed for continued success. Knowing how to integrate this ahead of time into a sound Risk Management Strategy (RMS) will ensure this.
In the practical project, you will build elements of a risk strategy as it relates to an AI/ML applied areas of your choice.
What you get and outline
Module 1
Intro to AI/ML
Understand the basics of AI/ML along with its terminology that you would need when establishing a risk oversight program in your organisation.
Module 2
Data structures and their risk elements
Understand the elements and their classification as structured and unstructured data while exploring the opportunities and risks of the interpreted data for decision-making.
Module 3
Machine learning models and model risk management
Review and understand design and model variability and the risks surrounding incorrect output interpretation. You will then explore how to conduct a Line 2 risk oversight of training data and segregating association results.
Module 4
ML data risks
Learn how to identify the key risk elements of a machine learning model as they arise from under specification, bias, unfiltered inputs and the 4-point data poisoning risk.
Module 5
AI/ML Ethics
A greater dive into bias risk and considering the privacy implications of an AI/ML project.
Module 6
AI/ML Risk Management Strategy as a way to steer it in your business
Bring all the previous modules together and build a mini AI/ML Risk Management Strategy in order to steer its adoption and efficient deployment in your organisation.
Exploring the future of responsible AI in government.
Artificial Intelligence (AI) technologies offer promise for improving how the Government of Canada serves Canadians. As we explore the use of AI in government programs and services, we are ensuring it is governed by clear values, ethics and laws.
Value to you
AI/ML risk management for RMS
You have either one of a good GRC or data science knowledge. Know you have to tie them together into a sound Risk Management Strategy (RMS) such that you can deploy and continue to improve your models as they relate your business operations.
This will guide you how to do that.
Save time and money
You will receive a burst of knowledge and be taught how to apply AI/ML concepts blended with risk management. Short and sharp at only 5 weeks part-time.
Acquire practical skills for your role
You can read theory anywhere. This course shows you how to apply it through worked examples in class and a project that simulates what you would be required to do in your role.
Open doors to new opportunities
This course will provide you with additional skills to be a step ahead in your chosen profession, increasing your value and consideration for future career opportunities.
Connect with global peers
It’s nice to know there are other like-minded learners like you. What better way than to learn socially together and build your network globally.
Best suited for
No size fits all, we get it. But here is how we have tailored this course with you in mind. Whomever you are, we welcome all learners.
You're awesome in your profession
You know the ins and outs of your profession without a doubt, yet you want to stay relevant and a step ahead of technological change.
You're a business leader
You have a vision for the future. Now you want to be empowered and lead the change in a sustainable and secure way.
You're driving change
You have a great technology team in your workplace. With the level of digital transformation, you think it’s best to be able to talk the same language.
Course FAQ
How is this different from other online courses?
This course will provide you with immersive learning, critical thinking and you walk away with a skill that you can use in your job/role.
If you are looking for a few videos to watch followed by a multiple choice quiz to get a certificate, then this course is likely not for you.
How will this course be delivered?
Classes are run live online with an instructor. An orientation pack will be provided one week prior to classes commencing, which includes your confirmed weekday for the instructor-led class.
This ensures you receive direct access to leading expertise and can ask questions in class, thereby reinforcing your learning as you go.
Which cohort do I get?
As a learner, we want you to get the maximum benefit from your global cohort-learning experience:
- Upon registration, you will be assigned into a small cohort for optimal instructor-led, online face-to-face classes; and
- Each week, you will have the opportunity to be learning with like-minded peers as part of a community of other cohorts.
An orientation pack will be provided one week prior to classes commencing, which includes your confirmed weekday for the instructor-led class.
How do I get the skills badge
To receive the skills badge, you will be required to:
- Attend all instructor-led classes
- Satisfactorily complete all course activities
- Satisfactorily complete and submit all elements of the practical project(s)
Will this be awareness or knowledge or skills?
Arascina bridges the gap between knowledge and application so that you walk away with knowledge and skills to use in your job role.
What learners are saying
“[The instructor] helped demystify cyber and I gained invaluable practical skills I can use in providing risk advice on cyber projects. I would highly recommend this course.”
“I was wondering how [the presenter] was going to make the topic of Cyber Resilience interesting. The presentation style was highly engaging and valuable for regulating the financial services sector in our country.”
“The case studies were very useful and something we cannot get just by Googling. Thank you for a very nice session.”
“The practical project meant that I got to bring all the knowledge taught together and apply it to a real situation for my role.”
“Personally it was a very engaging session.”
“I am now reading more and more articles on cyber – so this will be a lifelong interest.”
“The course has provided me insight into how cyber is integral in so many aspects of our daily work and lives.”
“Interesting perspectives and considerations into the topic of ransomware.”