CERTIFIED STRATEGIC ARTIFICIAL INTELLIGENCE LEADER (SAIL)

COURSE OVERVIEW

An Artificial Intelligence Leader is responsible for driving an organization’s AI initiatives, with a focus on developing and implementing AI strategies that align with the company’s overall business objectives. They must possess a combination of technical expertise and business acumen to identify opportunities for leveraging AI to drive innovation and growth. They must also have a deep understanding of ethical and legal considerations related to AI to ensure that AI projects align with the company’s values and comply with relevant regulations.

TRAINING DETAILS

• Type of Training: Non-e-learning
• Duration: 4 days
• Total Training Hours: 32 hours
• Minimum Training Qualification: Suitable for anyone, even without prior technological experience.

 UPCOMING TRAINING SCHEDULE JAN – JUN 2024

• Type of Training: Non-e-learning
• Dates : 19 – 21 June, 24 – 27 June
• Time: 9.30 am – 5.30 pm
• Mode of Delivery: Face-to-Face

CERTIFICATION

Upon course completion, participants will receive a “Certificate of Competency“

WHO SHOULD ATTEND

Managers, Executives, Artificial Intelligence professionals, Data Analysts, Computer Scientists, Programmers, and Anyone interested in pursuing a career in the areas of Data Analytics, Data Science, and Artificial Intelligence (AI).

TARGETED INDUSTRY

Suitable for all industry

LEARNING OUTCOME

Acquire advanced knowledge and skills on how to apply AI-related technologies based on governance policies, and ethical, and regulatory requirements. Learn how to use Python and R to develop and deploy AI-related technologies such as machine learning, deep learning, natural language processing, and computer vision.

TRAINING METHOD

Involves rigorous hands-on / practical exercises, usage of real-time case studies, role playing and group discussion.

COURSE MODULES

• Module 1: Introduction to Strategic Artificial Intelligence Leadership
• Module 2: Artificial Intelligence Project Management
• Module 3: Data Management and Data Analytics Using Python and R
• Module 4: Artificial Intelligence Technology and Tools
• Module 5: Ethical Artificial Intelligence (AI)
• Module 6: Data Governance for Artificial Intelligence
• Module 7: Organizational Change Management in Artificial Intelligence (AI) Projects

EXAMINATION

Participants are required to attempt an examination upon completion of the course. This exam tests a candidate’s knowledge and skills related to Artificial Intelligence, Data Analytics, and Data Governance based on the syllabus covered. Participants are expected to score a minimum of 70% to pass the examination.

FEES

RM 4,600 / pax : 4 days

Inclusive of training materials and refreshment.

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