Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Explainable AI in Practice: Case Studies and Applications

Course Code: C1440

What's This Course About

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.

WSQ Funding

Full Fee $1,050.00 Before GST
GST $94.50 9% of fee
Baseline Nett $619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $409.50 SG age 40+ · 70% funded
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 Fee

MYR1,050.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

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. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

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

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.  

Review

Write Your Own Review

You're reviewing: Explainable AI in Practice: Case Studies and Applications