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Basic Reinforcement Learning with Python

Basic Reinforcement Learning with Python

7 Review(s) | Add Your Review

Unlock the potential of Reinforcement Learning (RL) with our meticulously crafted course at Tertiary Courses. Gain a foundational grasp of the intricate concepts of Markov Decision Process (MDP) and Reinforcement Learning (RL), ensuring a robust grounding in this cutting-edge AI technology. Our course also offers hands-on experience, allowing participants to learn and apply RL using the renowned OpenAI Gym and Stable Baselines.

Venture deeper into the realms of Q-Learning, DQN, and Policy Gradient, with our interactive coding sessions, ensuring not just theoretical knowledge but practical expertise. By the end of the course, participants will be adept in crafting sophisticated RL solutions using Python, setting them on the path to AI excellence. Embrace the future of AI with our comprehensive Reinforcement Learning training.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Reinforcement Learning Course

Course Code: C625

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.

$300.00 (GST-exclusive)

$327.00 (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 * Course Time: No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

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 Reinforcement Learning

Fundamental Concepts of Reinforcement Learning (RL)
Types of RL Algorithms
Applications of RL
Markov Decision Process

Topic 2 OpenAI Gym and Stable Baselines

Introduction to OpenAI Gym
Install OpenAI Gym and Stable Baselines
Create Agent and Policy on Gym

Topic 3 Value Based Q-Learning

Overview of Value Based Learning
Value Functions and Bellman's Equations
Exploration Strategies
Q-Learning Algorithm
SARSA Algorithm
Deep Q Network (DQN) Algorithm

Topic 4 Policy Based Learning

Overview of Policy Based Learning
Policy Network
Policy Gradient Algorithm

Course Info

SSG Training Grant

SSG TG is $15 per pax. Net fee after SSG TG is $303.86. Absentee Payroll is not eligible.

Prerequisite

This is an intermediate course. The following knowledge is assumed:

Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Tensorflow on Mac

Please follow this guide to install Tensorflow on Mac https://www.tensorflow.org/install/install_mac

Alternatively, you can enter the following commands on your Mac terminal

pip3 install tensorflow

3 . Install Tensorflow on Window

Please follow this guide to install Tensorflow on Window https://www.tensorflow.org/install/install_windows

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 (7)

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 11/30/2021)

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 11/29/2021)

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

readme to setup the environment according to the codes (Posted on 11/29/2021)

Good session overall, thank you. 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

Good session overall, thank you.
More explanation about the implementation of the algorithm, but surely it will need more time. (Posted on 11/29/2021)

Good session overall, thank you. 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 explanation about the implementation of the algorithm, but surely it will need more time. (Posted on 11/29/2021)

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

It is great, thank you so much. (Posted on 5/16/2018)

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

Course materials and delivery method needs to be improved. (Posted on 3/30/2018)

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$749.92 (GST-inclusive)

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