To Be Advised

About This Course

The necessity for this course is underscored by Singapore’s strategic initiatives to position itself as a global leader in AI and to future-proof its workforce:

1. National AI Strategy 2.0: Singapore has unveiled an updated National AI Strategy, aiming to triple its AI workforce to 15,000 by training locals and hiring from overseas. This strategy focuses on nurturing talent, promoting a thriving AI industry, and sustaining it with world-leading infrastructure and research to ensure AI serves the public good. The Straits Times

2. Government Investment in AI Training: The government is investing over S$20 million to enhance AI practitioner training for students over three years. This includes increasing the number of AI-related SG Digital Scholarships for Singaporeans to pursue AI and related undergraduate, master’s, and PhD courses in top universities, and facilitating access to overseas internships in AI-related roles. Ministry of Defence Singapore

3. Industry Demand for AI Skills: The rise in AI adoption across various industries has led to a significant increase in demand for AI-related skills. For instance, 79% of employees in Singapore currently use generative AI as part of their job, up from 24% in 2023. EY

4. AI Integration in Business Operations: Companies in Singapore are increasingly integrating AI into their operations to enhance productivity and innovation. For example, Micron Technology is investing $7 billion to build an advanced chip packaging facility in Singapore, aiming to cater to the booming demand for AI chips. Forbes These developments highlight a critical need for professionals equipped with AI and ICT skills to support Singapore’s economic growth and technological advancement.

This course is designed to address this need by providing targeted learners with the necessary knowledge and competencies to thrive in an AI-driven economy.

What You’ll Learn

After training, learners will be able to:

LO1: Identify the range of AI applications and their applicability across different industries using AWS AI and ML services.

LO2: Evaluate the design and implementation of Generative AI models using Amazon Q & Bedrock to analyze AI algorithm efficiency and performance.

LO3: Assess the effectiveness of AI-powered speech and text processing applications to compare strengths and limitations of various AI-driven transcription and text-to-speech models.

LO4: Evaluate the performance of AI-driven document processing and text analytics to determine feasibility and process improvements.

LO5: Develop AI-powered chatbots using Amazon Lex by analyzing chatbot design and establishing the correlation between conversation flow and user experience.

LO6: Assess the feasibility, process improvements, and limitations of AI-powered image/video analysis and enterprise search for automation and decision-making.

LO7: Develop a RAG-based AI chatbot using Amazon Bedrock and assess its applicability for AI-driven conversational workflows.

LO8: Develop an AI-powered forecasting model using Amazon Fore-cast and assess its effectiveness and feasibility for predictive analytics.

Minimum Entry Requirement

Knowledge and Skills

a. Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework

b. Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

a. Positive Learning Attitude

b. Enthusiastic Learner

Experience

a. Minimum of 1 year of working experience.

Target Year Group

a.18-65 years old

Attendance & Assessment

Kindly note that you are required to achieve a minimum of 75% attendance and be certified competent in all the assessment components.

Should you fail to meet the attendance/assessment requirements and/or terms and conditions of SSG’s funding, you will not be eligible for the course fee funding and will have to bear the full course fees.

(Training: Day 1: 8:30 AM - 6:00 PM) (Training: Day 2: 8:30 AM - 3:30 PM) (Assessment: 3:30 PM - 5:15 PM)

28 SIN MING LANE, MIDVIEW CITY, #02-137 Singapore 573972

Individual Sponsored

• Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

Company Sponsored

• Absentee Payroll Claimable: $4.50 per hour, capped at $100,000 per enterprise per calendar year.
• Skills Future Enterprise Credit (SFEC) Grant: One-off $10,000 credit cover up 90% of out-of-pocket expenses.

Union Training Assistant Programme (UTAP)

• UTAP Claimable: NTUC member enjoy 50% unfunded course fee support for up to $500 per year.

For Classes commencing on or after 1st Jan 2024

Course ID : TGS-2025054653

Funding Validity Period: 2025-04-22 to 2027-04-21