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WSQ - Building Multi-Agent AI Systems

WSQ - Building Multi-Agent AI Systems

3 Review(s) | Add Your Review

This advanced course is designed for professionals eager to dive deep into the realm of building sophisticated multi-agent AI systems. The journey begins with an introduction to Large Language Model (LLM) AI orchestration, where participants will learn about the operational intricacies of running local LLMs, building, and debugging LLM applications. This foundation sets the stage for a detailed exploration of Retrieval-Augmented Generation (RAG) algorithms, a critical component for enhancing AI system efficiency through techniques like text embedding, similarity search, and the construction of vector databases.

As the course progresses, participants will delve into the practical aspects of implementing a multi-agent AI workflow, leveraging the ReAct agent framework to equip agents with the necessary tools and skills for complex operations. The course also provides insights into various multi-agent AI frameworks such as LangGraph, CrewAI, and AutoGen, guiding learners through the setup and execution of their first multi-agent workflow. By the end of this course, attendees will be adept at evaluating LLM AI models, analyzing RAG algorithms for improved efficiency, and assessing the feasibility of implementing multi-agent AI applications, thereby positioning themselves as experts in the field of AI development.

Learning Outcomes

By end of the course, learners should be able to:

LO1: Evaluate Large Language Model (LLM) AI models by identifying their strengths and limitations.
LO2: Analyze Retrieval-augmented generation (RAG) algorithms to improve efficiency .
LO3: Assess the feasibility of implementing multi-agent AI applications.

Course Brochure

TBD

Skills Framework

This course follows the guideline of Artificial Intelligence Application AER-TEM-4026-1.1 under ICT Skills Framework

Certification

Two e-certificates will be awarded to trainees who have demonstrated competency in the WSQ assessment and achieved at least 75% attendance.

Statement of Attainment (SOA) issued by WSG. You can download the SOA from here after 3-4 weeks upon completion of the course. Note that the SOA certificate title indicates the TSC title not the course title.
Certification of Completion issued by Tertiary Infotech Pte Ltd issued after the class.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$900.00	$81.00	$531.00	$351.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2024045806)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Course Code: TGS-2024045806

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.

$900.00 (GST-exclusive)

$981.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time *

Sponsorship *

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

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 Large Language Model (LLM) AI Orchestration

Overview of LLM AI orchestration
Running local LLM
Building an LLM app
Debugging LLM app

Topic 2 Retrieval-augmented generation (RAG)

Overview of Retrieval-augmented generation (RAG)
Text Embedding
Vector database
Similarity Search
Building an RAG

Topic 3. Implementing a Multi-Agent AI Workflow

Introduction to the ReAct agent framework
Implementing a ReAct agent
Equipping agent with tools and skills
Overview of multi-agent AI frameworks - LangGraph, CrewAI, AutoGen etc
Setting up and running your first multi agent workflow

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

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.

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

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

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents aged 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

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

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Job Roles

AI Systems Architect
Multi-Agent Systems Developer
LLM AI Specialist
RAG Algorithm Engineer
AI Orchestration Consultant
Machine Learning Engineer
Data Scientist
AI Application Developer
AI Research Scientist
Software Developer for AI Systems
AI Strategy Consultant
Technology Innovation Manager
AI Project Manager
Natural Language Processing Engineer
AI Solutions Architect
Cloud Computing Specialist
AI Workflow Analyst
Embedded Systems Engineer
Robotics Engineer
Digital Transformation Advisor

Trainers

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.

Customer Reviews (3)

Might Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Maybe can try using more complex data, because real life data is not usually clean (Posted on 12/9/2018)

Will Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

The module is excellent for industrial orientated applications. It is suggested to have the case study details in the optional module. (Posted on 12/9/2018)

Nil Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Nil (Posted on 8/7/2017)

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About Us

Tertiary Courses, founded in 2014, specializes in providing modular, skill-based courses tailored to Industry 4.0. We are WSQ Approved Training Organization (ATO), and IBF Approved ATO.. We are also Authorized Microsoft Learning Partner, Autodesk Authorized Training Center (ATC), Pearson Vue Authorized Test Center and Kryterion Authorized Testing Center. We offer a comprehensive range of training, certification prep and certification exam services. Additionally, we are a registered supplier with Singapore GeBiz, further solidifying our position as a trusted educational institution in the region.

Training Grants and Subsidies

We have various grants and subsidies for different courses. Please check the respective funding available on individual course page.

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
SGTech STAR Fund: SGTECH members enjoy $500 grant per pax for SGTech STAR courses