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

WSQ – Practical Reinforcement Learning for Beginners

Unlock the transformative power of artificial intelligence with our WSQ-endorsed Practical Reinforcement Learning for Beginners course. As one of the most dynamic fields in AI, reinforcement learning offers unparalleled opportunities for problem-solving and decision-making. This course guides you through the foundational algorithms and techniques, all while offering hands-on experience through real-world projects. You'll develop the skills to implement effective learning agents in various environments.

Upon completing the course, you'll be proficient in the core concepts and applications of reinforcement learning. From designing smart agents to navigating complex data sets, this course equips you with the know-how to apply reinforcement learning in practical scenarios, making it an essential stepping stone for anyone aiming to specialize in AI and data science.

Learning Outcomes

By end of the course, learners should be able to

  • Understand and apply the fundamental concepts of reinforcement learning
  • Use RL on OpenAI Gym
  • Build value-based reinforcement learning systems
  • Build model-based reinforcement learning systems
  • Build policy-based reinforcement learning systems
  • Assess reinforcement learning systems and suggest more advanced reinforcement learning systems

Course Objectives

  • Learners will be able to understand and develop various reinforcement learning algorithms

Course Brochure

Download WSQ – Practical Reinforcement Learning for Beginners Brochure

Skills Framework

This course follows the guideline of Self-Learning Systems ICT-DIT-5028-1.1 TSC 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
$688 $61.92 $405.92 $268.32

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

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Please inform us if you intend to use your PSEA funding .

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020504974)

  • 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-2020504974

    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.

    $688.00 (GST-exclusive)
    $749.92 (GST-inclusive)

    Course Date

    * 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 Reinforcement Learning

    • What is Reinforcement Learning (RL)?
    • Markov Decision Process (MDP) and RL
    • Applications of RL
    • RL Algorithms Classifications

    Topic 2 OpenAI Gym

    • What is OpenAI Gym
    • Install OpenAI Gym
    • OpenAI Gym Operations

    Topic 3 Value Based Q-Learning

    • What is Q-Learning
    • Q Value and Q-Table
    • Bellman Equation
    • Q-Learning Algorithm
    • Epsilon Greedy Explore-Exploit Strategy
    • On-Policy vs Off-Policy Learning
    • What is SARSA?
    • SARSA Algorithm

    Topic 4 Policy-Based Learning

    • Policy Based Methods
    • Policy Gradient Algorithm
    • Implementation of Policy Gradient Algorithm

    Topic 5 Overview of Advanced RL Algorithms

    • Limitation of Value and Policy-Based Learnings
    • Actor-Critic Algorithms
    • Deep Reinforcement Algorithms

    Topic 6 Model-Based Learning

    • What is Model-Based Learnings
    • Model-Based Q-Learning Algorithms

    Final Assessment

    • Written Assessment(Q&A)
    • Practicum 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.
    • Minimum 18 years old

    Minimum Software/Hardware Requirement

    Software: NIL

    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

    • Machine Learning Engineer
    • Robotics Engineer
    • Game Developer (AI-focused)
    • AI Research Scientist
    • Data Scientist (branching into RL)
    • Autonomous Systems Developer
    • Simulation Engineer (using RL)
    • Optimization Specialist
    • AI Product Manager (oversight on RL projects)
    • Control Systems Engineer (using RL)
    • Finance Quant (using RL for trading strategies)
    • NLP Engineer (using RL for certain applications)
    • Recommendation System Developer (using RL)
    • AI Solutions Architect
    • Drone Algorithm Developer.

    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.

    Marcel Leng: Marcel Leng is a ACTA certified. Marcel graduated with majors in Applied Mathematics and Physics from the National University of Singapore.

    His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

    Customer Reviews (5)

    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
    . (Posted on 3/26/2023)
    recommended 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
    Informative and it's great to learn practically. Would have been nice to learn how to create a gym for a new unique scenario

    I recorded the links I used to install the packages for scripts in an m1 env. Let me know if you need it

    Bash files to install packages and environment (Posted on 7/31/2022)
    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
    Tertiary Courses has put much effort in preparing the material. There is a well balance between the theory and coding. Having said that, RL is also a pretty tough subject. Recommend to split two training days into non consecutive days or can considering to increase 2-day training to 3-day training. (Posted on 6/17/2022)
    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
    . (Posted on 6/17/2022)
    will recomendation 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
    More applications to commercial domains
    Good attempt for a difficult topic, keep it up! (Posted on 1/23/2022)

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