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

Basic Reinforcement Learning with Python

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)

Course Date

Course Time

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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

Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Terence Ee: Terence Ee is a ACTA certified trainr that has delivered IT training in Singapore and Myanmar. He has also facilitated faith formation courses for Christians in Singapore and Myanmar. As a trainer, his mission is to co-create insightful and actionable learning experiences with his learners.His current areas of focus include project management, information security management, quality management and office productivity applications.

Terence has more than 25 years of corporate IT experience. He has held senior management roles in the public and private sectors. He holds a Master of Science in Technology Management, a Bachelor of Science in Computer and Information Sciences, a Diploma in Family Education, and the Advanced Certificate in Training and Assessment (ACTA). Part of his spare time goes towards tutoring his children in their studies (while learning a thing or two along the way). He is also imparting to them the essential skills for thriving in a digital world.

Richard Wan: Richard Wan is a ACTA certified trainer. Richard Wan has more than 30 years of experience in software development in various computer disciplines, including computer vision, communication and digital publishing.

Technical expertise includes: Windows, Linux developments with C, C++, Delphi (Object Pascal), Visual Studio, OpenCV. Embedded system programming including microcontrollers, Arduino, Pi, BeagleBone etc.

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.

Bernard Peh: Bernard Peh is a Business Development Director and ACTA certified trainer with over 20 years of experience in the financial services industry. He has held key leadership roles and integrated technology, digital marketing, and data science to drive growth in sales, recruitment, and financial planning. As a mentor, Bernard has developed many successful financial professionals who have achieved top industry accolades like TOT, COT, and MDRT.

With deep expertise in data science, Bernard has advised firms and designed training programs for institutions like NTUC Learning Hub. He continues to apply data science to collective funds, achieving exceptional results such as a 400% increase in assets under management, while empowering financial professionals with technology-driven solutions.

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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