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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

WSQ - Develop Artificial Intelligence and Large Language Model (LLM) Applications with Google Gemini

The "Develop Artificial Intelligence and Large Language Model (LLM) Applications with Google Gemini" course is a cutting-edge program designed for individuals looking to master the development and application of LLM and Generative AI (GAI) technologies in various industrial settings. The course begins with an Overview of Large Language Models, providing a solid understanding of what LLMs are, their opportunities, and their industrial use cases. This module sets the stage for comprehending the vast potential and applicability of LLMs across different sectors.

Progressing to Topic 2, participants dive into Multimodal Prompting with Google Gemini LLM. This section covers the fundamentals of multimodal prompting, an overview of Google Gemini LLM, and practical exercises like testing Google Gemini in Google Bard and obtaining the Gemini API. The focus then shifts to Building LLM Applications with Google Gemini, where participants learn to use tools like Langchain to access the Gemini API, and explore applications in image recognition and chat conversations.

The course culminates with Implementing Retrieval Augmented Generation (RAG). This module gives an in-depth understanding of LLM-driven RAG technology, including document loading and splitting, embedding techniques, vector databases, and the retrieval process. The questioning/answering component within RAG is explored to evaluate the performance effectiveness of these models. By the end of this course, learners will have developed a comprehensive skill set to analyze LLM applications using GAI, establish Google Gemini GAI designs, develop LLM applications, and assess their feasibility and performance effectiveness.

Learning Outcomes

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

  • Analyze the range of LLM applications using Generative AI (GAI) and identify their industrial use cases.
  • Establish Google Gemini GAI designs and assess improvements on engineering processes.
  • Develop LLM applications and assess its feasibility.
  • Evaluate the performance effectiveness of Retrieval Augmented Generation (RAG).

Course Brochure

Download WSQ - Develop Artificial Intelligence and Large Language Model (LLM) Applications with Google Gemini Brochure

Skills Framework

This course follows the guideline of Artificial Intelligence Application AER-TEM-4026-1.1 under Aerospace 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
$1,000 $90.00 $590.00 $390.00

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

WSQ TG Application Form

Eligible individuals and company can apply for WSQ TG. Please fill in the required details for grant application.  Please click here to submit for WSQ TG

Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.


After the WSQ subsidy, you can offset the nett fee 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-2024042961)
  • 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-2024042961

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.

$1,000.00 (GST-exclusive)
$1,090.00 (GST-inclusive)

Course Date

Course Time

* 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: Overview of Large Language Model (LLM) 

  • What is Large Language Model (LLM)? 
  • Opportunities LLM applications 
  • Industrial use cases of LLM applications 

Topic 2: Multimodal Prompting with Google Gemini LLM 

  • What is Multimodal Prompting ? 
  • Overview of Google Gemini LLM 
  • Testing Google Gemini in Google Bard 
  • Getting Gemini API 
  • Building LLM applications with Gemini 

Topic 3: Building LLM Applications with Google Gemini LLM 

  • Using Langchain to access Google Gemini API
  • Image Recognition
  • Chat Conversation

Topic 4: Implementing Retrieval Augmented Generation (RAG) 

  • Overview of LLM driven RAG technology
  • Document Loading and Splitting
  • Embedding
  • Vector Databases
  • Retrieval
  • Questioning/Answering

Final Assessment 

  • Written Assessment (SAQ)
  • Practical Performance

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 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 Age Group: 21 to 65 years old

Minimum Software/Hardware Requirement

You can download and install the following software:

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

Individual Sponsored Trainee Employer Sponsored Trainee
  • Singapore Citizens or Singapore Permanent Residents of age 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 

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.

Job Roles

  • Robotics Engineer
  • ROS Developer
  • Automation Engineer
  • Robotics System Integrator
  • Robotics Researcher
  • Autonomous Vehicle Engineer
  • Drone Systems Developer
  • Robotic Manipulation Specialist
  • AI & Robotics Developer
  • Embedded Systems Engineer (with robotics focus)
  • Machine Vision Engineer
  • Mechatronics Engineer
  • Industrial Robot Programmer
  • Robot Simulation Specialist
  • IoT Engineer (with robotics applications).

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 (1)

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Thank you so much for customising the course to help me. It was very fruitful and helpful for my work. Appreciate it! (Posted on 3/27/2023)

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