Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Quant Academy
Rating
Course Overview
Risk AND AI (RAI) Mock Exam Papers
RAI Motivation
• Focused research over the years has identified AI/ML as an area our membership and certified body want to learn more about.
• Ongoing conversations with practitioners, regulators, and academics have reinforced the need for education in this space.
• Deeper dives into needs assessment and surveys of current market offerings indicate a significant need for a risk-focused, risk-aware, accessible AI certificate.
RAI Program Structure
Artificial intelligence is transforming business practices across every industry sector. As organizations evaluate the integration of AI into their day-to-day operations, it’s critical for business leaders, risk managers, and young professionals to clearly understand the potential risks, regulations, and ethical considerations associated with using AI. The RAI Certificate delivers knowledge across the following learning modules:
• History and Overview of AI Concepts
• AI Tools and Techniques
• Risks and Risk Factors
• Responsible and Ethical AI
• Data and AI Model Governance
RAI Certificate Benefits
• Access understandable, comprehensive knowledge about AI tools, techniques, and related business practices, regardless of your prior experience.
• Equip yourself to help an organization implement safe, trustworthy, AI-driven business solutions.
• Position yourself to be a leader in establishing an ethical AI culture that builds credibility in your organization’s use of AI with customers, regulators, and the public.
• Join an exclusive global network of professionals.
Who Should Consider the RAI Certificate?
Anyone interested in exploring AI and the new opportunities it brings to excel in AI-driven industries will benefit from the RAI Certificate. Whether you’re in business, finance, data analytics, economics, engineering, technology, or health care, the RAI Program equips you with relevant skills for navigating the integration of AI and the risks associated with it.
Course Content
- 1 section(s)
- Section 1 Exámenes de prueba
What You’ll Learn
- Introduction to tools and techniques
- Unsupervised learning
- Supervised learning – Econometric techniques
- Supervised learning – Machine learning techniques
- Semi-supervised learning
- Reinforcement learning
- Supervised learning – Model estimation
- Supervised learning – Model performance evaluation
- Natural language processing
- Generative AI and LLMs
- AI and Risk
- Risk and Risk Factors
- Responsible and Ethical AI
- Data and AI Model Governance
Skills covered in this course
Reviews
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EE D
Great questions. very helpful
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PPooja Sonaniya
Very helpful for self-assessment
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RRajshekhar
I have started using the content to complement my studies, and it’s been extremely helpful. The content is well - crafted and simulates the possible exam questions to the maximum possible extent. The content is extremely helpful to somebody who wants to fine - tune their studies with exam - like questions, or just gain more confidence by practising on more questions, this solidifying their preparations.
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PPavlina Petrova
Really great resource for anyone who is preparing for the RAI exam, I have been using this as a main revision tool since the answer explanations are very clear and precise. The questions are very similar to the ones provided by the exam preparation guide providing you the opportunity to drill in the concepts and practice. Absolutely recommend to anyone interested.
