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Reinforcement Learning in MATLAB and Simulink

The 'Reinforcement Learning in MATLAB and Simulink' course by MathWorks equips machine learning engineers and control systems engineers with practical skills to design, train, and deploy reinforcement learning agents for robotics, autonomous systems, and resource allocation. It solves the critical industry challenge of implementing adaptive decision-making in dynamic environments, with demand for reinforcement learning skills rising 9% in the past month and required in 13% of Machine Learning Engineer job postings.

This course prepares learners for MathWorks certification pathways by building mastery in the Reinforcement Learning Toolbox. Koenig Solutions delivers official vendor-authorized courseware with 30-day lab access, enabling hands-on practice with DQN, PPO, and DDPG algorithms. Graduates gain the expertise to deploy optimized C/C++ code from trained agents, advancing into high-impact roles in AI-driven systems development.

8 Hours (1 Days)
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Course Overview

The Reinforcement Learning in MATLAB and Simulink course by MathWorks is an intermediate-level, one-day training program designed for engineers, control systems developers, and AI researchers seeking to implement intelligent decision-making algorithms. While no specific certification exam is directly tied to this course, it builds critical skills applicable to advanced MATLAB and Simulink workflows, supporting professionals pursuing recognition such as the Certified MATLAB Professional. This training is ideal for roles in robotics, autonomous systems, and industrial automation, where demand for reinforcement learning expertise is growing—over 70% of engineering firms in aerospace and automotive sectors now use simulation-based AI training for controller design. Participants gain hands-on experience in developing adaptive systems that learn from dynamic environments, aligning with industry needs for smarter, self-optimizing solutions.

This course leverages key MathWorks tools including MATLAB, Simulink, Reinforcement Learning Toolbox, Deep Network Designer, and the Reinforcement Learning Designer app, providing a comprehensive environment for building and testing AI-driven controllers. Students engage in hands-on labs within the MATLAB and Simulink desktop environment, where they configure a real-world project such as controlling the water level in a nonlinear tank system using a DDPG agent. They build the Simulink environment, define observation and action spaces, craft reward functions, train neural network policies, and validate agent performance through simulation. The lab workflow includes connecting the RL Agent block to a plant model, tuning hyperparameters, monitoring training progress interactively, and generating optimized C/C++ code from the trained agent for deployment on embedded systems.

While the Reinforcement Learning in MATLAB and Simulink course does not map to a standalone certification, it strengthens competencies validated by the Certified MATLAB Professional credential, which is recognized across engineering and data science industries. Professionals with advanced MATLAB and AI modeling skills report salary premiums of up to 25% in sectors like robotics and automated systems design. Koenig Solutions enhances this learning with Guaranteed-to-Run batches and official MathWorks courseware, ensuring access to authorized content and expert-led instruction. By mastering reinforcement learning workflows, attendees are positioned to lead in developing next-generation intelligent systems, from autonomous vehicles to smart manufacturing, driving innovation and career advancement in high-impact technical domains.

What You'll Learn

✓Configure Simulink environments for reinforcement learning with MATLAB and Simulink, enabling effective training of intelligent systems.
✓Design reward functions in MATLAB and Simulink to guide reinforcement learning agents toward optimal behaviors, improving system performance.
✓Implement neural network policies using Deep Network Designer to develop advanced reinforcement learning models with MATLAB and Simulink.
✓Train agents efficiently with the Reinforcement Learning Toolbox, gaining practical skills to solve complex control problems.
✓Manage training simulations in Reinforcement Learning Designer to streamline the development process and enhance model accuracy.
✓Deploy trained agents using MATLAB Coder, facilitating real-time implementation of reinforcement learning solutions in various applications.

Skills You'll Gain

MATLAB Environment Setup Simulink Environment Setup Reward Function Design Reinforcement Learning Toolbox Policy Representation Neural Network Assembly Deep Network Designer Reinforcement Learning Designer Agent Training MATLAB Code Generation Simulink Code Generation C Code Generation CUDA Code Generation Parallel Training GPU Accelerated Training Hyperparameter Tuning Deployment Validation

Prerequisites

Recommended knowledge before taking this course
  • Completion of MATLAB Fundamentals or equivalent experience is required for Reinforcement Learning in MATLAB and Simulink by MathWorks. This ensures learners can efficiently implement algorithms and interpret results.
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Reinforcement Learning in MATLAB and Simulink certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Reinforcement Learning in MATLAB and Simulink certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Control Systems Engineer
  • Robotics Engineer
  • Autonomous Systems Developer
  • Model-Based Design Engineer
  • AI/ML Engineer - Control Applications
  • Simulation and Training Engineer

Companies Hiring

5,000+
MathWorks Tesla General Motors Lockheed Martin Northrop Grumman Siemens Honeywell Aurora Innovation Boston Dynamics Robert Bosch GmbH

and 5,000+ organizations worldwide seeking Reinforcement Learning in MATLAB and Simulink certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Reinforcement Learning in MATLAB and Simulink training course

Is the certification exam included in the Reinforcement Learning in MATLAB and Simulink course, and what is the exam fee if separate?
The certification exam is not included in the Reinforcement Learning in MATLAB and Simulink course and must be purchased separately. The MathWorks Certified MATLAB Professional exam, which is relevant for advanced learners, costs USD 400. No specific certification exam is directly tied to this course, but professionals often pursue the MATLAB Professional credential, which requires passing the associate-level exam first.
What delivery modes does Koenig offer for Reinforcement Learning in MATLAB and Simulink, and is there a Guaranteed-to-Run option?
Koenig offers live online instructor-led training, 1-on-1 private sessions, and classroom training for Reinforcement Learning in MATLAB and Simulink, all available as Guaranteed-to-Run (GTR) batches. This ensures the course proceeds regardless of enrollment numbers. Training is delivered in English, with flexible scheduling options to accommodate global participants seeking structured, expert-led learning experiences.
How long is lab access provided, and what environment is used for hands-on practice in the Reinforcement Learning in MATLAB and Simulink course?
Koenig provides 30 days of lab access for the Reinforcement Learning in MATLAB and Simulink course via cloud-hosted sandboxes using MATLAB Online. This secure, browser-accessible environment eliminates local installation needs and supports hands-on practice with Simulink and the Reinforcement Learning Toolbox, enabling learners to train agents and validate models in a production-equivalent setup.
What is Koenig's rescheduling and cancellation policy for the Reinforcement Learning in MATLAB and Simulink course?
Koenig allows free rescheduling of the Reinforcement Learning in MATLAB and Simulink course with at least 7 days' notice before the start date. Cancellations or rescheduling within 10 days of the course incur a 50% fee of the total amount. This policy applies to all public and private training formats, ensuring flexibility while maintaining operational integrity for Guaranteed-to-Run sessions.
What is the format, number of questions, passing score, and time limit for the MathWorks certification exam relevant to Reinforcement Learning in MATLAB and Simulink?
While no exam is specific to Reinforcement Learning, the MathWorks Certified MATLAB Professional exam—relevant for advanced users—has 25 multiple-choice questions and 8 performance-based problems, with a 3.5-hour time limit. Passing scores vary per exam instance to maintain consistency, and MATLAB access is allowed only during the performance section, reflecting real-world application demands.
How long is the MathWorks certification valid, and what is the renewal process and cost for Reinforcement Learning in MATLAB and Simulink professionals?
MathWorks certifications do not have an expiration date but may require passing updated exams to maintain validity as technology evolves. There is no formal renewal process or fee; however, professionals are encouraged to retake revised exams when available to demonstrate current expertise. Digital credentials are issued via Credly and remain valid indefinitely unless revoked for policy violations.
What post-training support does Koenig provide after completing the Reinforcement Learning in MATLAB and Simulink course?
Koenig offers 30 days of post-training support, including access to session recordings, hands-on labs, and email assistance from instructors. Learners also receive exam preparation materials and are eligible for a free retake under the Happiness Guarantee policy, ensuring continued learning and mastery of reinforcement learning concepts using MATLAB and Simulink environments.
What are the prerequisites for the Reinforcement Learning in MATLAB and Simulink course, and what level of experience is needed?
The prerequisites for the Reinforcement Learning in MATLAB and Simulink course are MATLAB Fundamentals and Simulink Fundamentals. Learners should have intermediate-level programming and simulation experience, including familiarity with control systems and basic machine learning concepts. This foundational knowledge ensures participants can effectively engage with policy design, neural networks, and agent training within the Reinforcement Learning Toolbox.
What career impact and salary potential can professionals expect after mastering Reinforcement Learning in MATLAB and Simulink?
Professionals skilled in Reinforcement Learning in MATLAB and Simulink can pursue roles in robotics, autonomous systems, and aerospace engineering, with salaries ranging from $110,000 to $180,000 annually in the U.S. Demand is growing in industries requiring advanced control systems, where expertise in Simulink-based simulation and policy deployment enhances competitiveness for high-impact AI and systems engineering positions.
How does instructor-led training from Koenig compare to self-study for mastering Reinforcement Learning in MATLAB and Simulink?
Instructor-led training from Koenig offers structured learning with expert guidance, real-time feedback, and hands-on labs, unlike self-study which relies on independent effort. With Guaranteed-to-Run schedules, 30-day lab access, and post-training support, Koenig's approach ensures higher retention and certification readiness compared to free online resources or on-demand platforms lacking mentorship.

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Learning Path

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