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Explainable AI in Practice: Case Studies and Applications

Explainable AI in Practice: Case Studies and Applications

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Discover the cutting-edge world of Artificial Intelligence (AI) with our course, "Explainable AI in Practice: Case Studies and Applications." This course is meticulously designed for professionals and enthusiasts keen on understanding AI's impact and applications in various industries. Delve into real-world case studies that demystify AI’s decision-making processes, fostering transparency and trust in AI systems.

Participants will gain hands-on experience in applying AI principles to real-world scenarios, learning to harness the power of AI for strategic decision-making and innovation. This course provides an invaluable opportunity to understand the ethical and practical aspects of AI, ensuring you are well-equipped to implement AI solutions effectively in your organization or field.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Fundamentals of AI Ethics and Responsible AI

Course Code: C1440

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$300.00 (GST-exclusive)

$327.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Topic 1 Introduction to AI Ethics and Explainable AI

Overview of AI and Generative AI (GAI)
What is AI Ethics?
Principles of AI Ethics and Responsible AI
AI Governance Framework
AI Ethics Use Cases

Topic 2 Explainable AI Methodologies

LIME Method
SHAP Value Method
Partial Dependence Plots
Example Based Explanations
Privacy and Safety
Bias and Fairness
Equal Opportunity Analysis
Demographics Parity Analysis
Conditional Statistical Parity Analysis
Equalized Odds Analysis
Treatment Equality Analysis

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

AI Research Scientist
Data Analyst
Machine Learning Engineer
AI Technology Consultant
Business Intelligence Developer
AI Application Developer
AI Strategy Manager
Ethical AI Compliance Officer
AI Product Manager
AI Solutions Architect
Data Governance Specialist
AI Ethics Advisor
AI Implementation Specialist
Robotic Process Automation Engineer
Natural Language Processing Engineer
AI System Integrator
AI Policy Analyst
AI User Experience Designer
AI Security Specialist
Cloud AI Developer

Trainers

Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACTA certified trainer. Dwight Nuwan Fonseka have a degree in Biotechnology (from NUS), Advanced diploma in Pharmaceutical management (from MDIS) and Masters in Education (from NTU). He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

Terence Ee: Terence Ee is a ACTA certified trainr that has delivered IT training in Singapore and Myanmar. He has also facilitated faith formation courses for Christians in Singapore and Myanmar. As a trainer, his mission is to co-create insightful and actionable learning experiences with his learners.His current areas of focus include project management, information security management, quality management and office productivity applications.

Terence has more than 25 years of corporate IT experience. He has held senior management roles in the public and private sectors. He holds a Master of Science in Technology Management, a Bachelor of Science in Computer and Information Sciences, a Diploma in Family Education, and the Advanced Certificate in Training and Assessment (ACTA). Part of his spare time goes towards tutoring his children in their studies (while learning a thing or two along the way). He is also imparting to them the essential skills for thriving in a digital world.