WSQ - AWS Certified AI Practitioner Training (AIF-C01)

LU1 Introduction to Generative AI 

Topic 1 Generative AI for Executives

• What is Generative AI?
• Why is Now the Best Time to Embrace Generative AI?
• Enterprise Use Cases for Generative AI
• Training Your Workforce to Use Generative AI
• Why is AWS the Best Place to Build with Generative AI?

Topic 2 Amazon Q Business Getting Started

• Introduction to Amazon Q Business
• Architecture and Use Cases
• Using Amazon Q Business

LU2  AWS Bedrock and Machine Learning 

Topic 3 Amazon Bedrock Getting Started

• Introduction to Amazon Bedrock
• Architecture and Use Cases
• Using Amazon Bedrock

Topic 4 Fundamentals of Machine Learning and Artificial Intelligence

• Machine Learning Fundamentals
• Deep Learning Fundamentals
• Generative AI Fundamentals

LU3  Applications of AI and Responsible AI 

Topic 5 Exploring Artificial Intelligence Use Cases and Applications 

• Overview of Artificial Intelligence
• Examples of Real-World Use Cases
• Examples of AI Applications
• Machine Learning Techniques and Use Cases
• Capabilities of Generative AI
• Challenges of Generative AI
• Factors to Consider When Selecting a Generative AI Model
• Business Metrics for Generative AI

Topic 6 Responsible Artificial Intelligence Practices

• Overview of Responsible AI
• Responsible AI Challenges in Traditional AI and Generative AI
• Core Dimensions of Responsible AI
• Amazon Services and Tools for Responsible AI
• Responsible Considerations to Select a Model
• Responsible Preparation for Datasets
• Transparent and Explainable Models
• Model Trade-Offs
• Principles of Human-Centered Design for Explainable AI

LU4  Applications of AI and Responsible AI 

Topic 7 Developing Machine Learning Solutions

• Machine Learning Development Lifecycle
• Developing ML Solutions with Amazon SageMaker
• Sources of ML Models
• Machine Learning Models Performance Evaluation
• Model Deployment
• Fundamental Concepts of MLOps

Topic 8 Developing Generative Artificial Intelligence Solutions

• Generative AI Application Lifecycle
• Defining a Use Case
• Selecting an FM
• Improving the Performance of an FM
• Evaluating an FM

Topic 9 Essentials of Prompt Engineering

• Understanding Prompts
• Modifying Prompts
• Prompt Engineering Techniques
• Prompt Misuses and Risks

LU4  Optimization and  Security of AI Solutions  

Topic 10 Optimizing Foundation Models

• Business case
• Retrieval-Augmented Generation
• Agents
• Evaluate results
• Business case
• Fine-Tuning
• Model evaluation

Topic 11 Security, Compliance, and Governance for AI Solutions

• Strategic Guidance for Security, Governance, and Compliance
• Compliance Standards for AI Systems
• AWS Services for Governance and Compliance
• Data Governance Strategies
• Approaches for Implementing Governance Strategies
• Security and Privacy Considerations for AI Systems
• AWS Services and Features for Securing AI Systems
• Understanding Data and Model Lineage
• Best Practices for Secure Data Engineering

Practice Exam

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• 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 Year Group : 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need a AWS account (Credit Card is required).

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

• AI Practitioner
• Machine Learning Engineer
• Data Scientist
• AI Developer
• Cloud AI Specialist
• AI Solutions Architect
• Data Engineer
• AI Consultant
• AI Research Scientist
• AWS Cloud Engineer
• Business Intelligence Developer
• AI Product Manager
• AI Analyst
• Machine Learning Operations (MLOps) Engineer
• Data Analyst
• Cloud Solutions Architect
• Software Engineer
• Technical Program Manager
• IT Project Manager
• Systems Architect

Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment

He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners

Agus Salim: Agus Salim is a professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure. Agus has obtained AZ-104, AZ-500 and other Microsoft certifications. I am also a ALCP certified trainer.

Anil Bidari: Anil  is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for  helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training

Peter Cheong :  Peter is a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that Peter Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.

Ben Law Beng Tjin: Ben is an experienced IT Infrastructure professional with more than 20 years of working experience in IT sector. Due to Corporate Digital Transformation and COVID-19 during early 2020 he shifted his focus to Cloud Computing specialized in Cloud Infrastructure Solutioning. He is  an AWS Certified Solution Architect Associate, Google Certified Cloud Engineer, Microsoft Certified Azure Fundamentals and Alibaba Cloud Associate.