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Accelerating and Parallelizing MATLAB Code

The Accelerating and Parallelizing MATLAB Code course by MathWorks teaches engineers, data scientists, and computational researchers how to eliminate performance bottlenecks in MATLAB through vectorization, preallocation, MEX-file generation, and parallel computing. With 78% of engineering teams reporting delays due to slow simulations (MathWorks, 2023), this training delivers actionable techniques to accelerate code execution across multi-core systems, GPUs, and clusters.

This course prepares learners for the MathWorks Certified MATLAB Associate credential, enhancing credibility in high-performance computing roles. Koenig Solutions offers official vendor-authorized courseware and 30-day lab access, enabling hands-on mastery of Parallel Computing Toolbox and MATLAB Coder. Graduates gain the skills to reduce simulation times from hours to minutes, accelerating time-to-insight in research and development environments.

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Course Overview

The Accelerating and Parallelizing MATLAB Code course by MathWorks is designed for engineers, data scientists, and computational researchers who aim to optimize performance-intensive MATLAB applications. This intermediate-level training prepares participants for high-efficiency computing tasks by teaching proven techniques to eliminate bottlenecks in code execution. Specifically tailored for roles such as simulation engineers, algorithm developers, and scientific computing specialists, the course addresses a growing industry demand—over 70% of engineering firms using MATLAB now require parallel computing skills to handle large-scale simulations and data processing. Participants will gain hands-on experience with core acceleration strategies essential for modern technical computing environments.

Students engage directly with key MathWorks tools including MATLAB Coder™, Parallel Computing Toolbox™, and MATLAB Parallel Server™, learning to generate MEX-files, execute GPU-accelerated computations, and scale workloads across multicore systems and clusters. The hands-on lab environment leverages local and remote MATLAB sessions where learners configure parallel pools, convert for-loops into parfor-loops, and offload computations to background workers or cloud resources. A central project involves optimizing a real-world simulation—such as a Monte Carlo financial model or a signal processing pipeline—measuring speedup from vectorization, preallocation, and parallel execution. These labs are conducted within the native MATLAB desktop and command-line interface, ensuring direct applicability to professional workflows.

This course strengthens career readiness for professionals targeting roles in high-performance computing, quantitative analysis, and R&D, where optimized MATLAB code can reduce simulation times from hours to minutes. While no formal certification exam is currently tied to this course, mastery of its content aligns with advanced proficiency recognized in fields relying on technical computing, with MATLAB experts commanding average salaries of $115,000–$140,000 in North America. Koenig Solutions enhances this learning with Guaranteed-to-Run scheduling and access to official MathWorks courseware, ensuring authentic, up-to-date content delivery. Graduates emerge equipped to lead performance-critical projects in industries ranging from aerospace to finance, driving innovation through accelerated computational workflows.

What You'll Learn

Improve MATLAB code performance by applying vectorization and preallocation techniques from the 'Accelerating and Parallelizing MATLAB Code' course by MathWorks, ensuring faster execution and efficient memory use
Create MEX-files from MATLAB scripts using MATLAB Coder, enabling integration with C/C++ for high-speed applications
Accelerate processing by parallelizing for-loops with the Parallel Computing Toolbox in MATLAB, reducing runtime for large data sets
Leverage GPU Coder in MATLAB to offload computations onto GPUs, significantly boosting processing speed for intensive tasks
Deploy MATLAB jobs seamlessly to high-performance clusters with MATLAB Parallel Server, optimizing resource use for large-scale projects
Manage distributed computing tasks effectively with MATLAB Job Scheduler, ensuring reliable execution of complex workflows

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of MATLAB programming language and its syntax.
  • Familiarity with fundamental programming concepts such as loops, conditionals, and functions.
  • Awareness of data structures in MATLAB, especially arrays and matrices.
  • A general understanding of optimization concepts and techniques.
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Certification Exam

Everything you need to know about the Accelerating and Parallelizing MATLAB Code certification exam

Exam Details
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Format
Multiple choice, labs & case studies
Questions
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Retake Policy
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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

82%

of Accelerating and Parallelizing MATLAB Code certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Accelerating and Parallelizing MATLAB Code 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
  • High Performance Computing Engineer
  • Parallel Computing Specialist
  • MATLAB Optimization Engineer
  • Scientific Computing Developer
  • Computational Systems Engineer
  • GPU Acceleration Engineer

Companies Hiring

5,000+
MathWorks Microsoft Amazon Web Services IBM Accenture Lockheed Martin Northrop Grumman General Motors Siemens Dassault Systèmes

and 5,000+ organizations worldwide seeking Accelerating and Parallelizing MATLAB Code 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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    “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.”

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

    “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
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    “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
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    “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 Accelerating and Parallelizing MATLAB Code training course

Is the certification exam included in the Accelerating and Parallelizing MATLAB Code course, and what is the exam fee?
The Accelerating and Parallelizing MATLAB Code course from MathWorks does not include the certification exam. You must purchase the MathWorks Certified MATLAB Associate exam separately via Webassessor. Commercial candidates pay $160, while academic users pay $95. Register directly on the Webassessor platform to secure the correct pricing tier based on your specific professional or academic affiliation.
What training formats are available for the Accelerating and Parallelizing MATLAB Code course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig provides the Accelerating and Parallelizing MATLAB Code course via Live Online, Classroom, 1-on-1, and Flexi self-paced formats. Every scheduled batch is Guaranteed-to-Run, meaning sessions proceed regardless of enrollment size. This policy eliminates the risk of last-minute cancellations, allowing you to plan your travel, study time, and professional development with total confidence and zero scheduling uncertainty.
How long is lab access provided for the Accelerating and Parallelizing MATLAB Code course, and what environment is used?
You receive 30 days of post-course lab access for the Accelerating and Parallelizing MATLAB Code training. This environment is hosted by MathWorks and accessed via Remote Desktop Protocol. You will utilize trial versions of MATLAB, Parallel Computing Toolbox, and MATLAB Coder. This cloud-based setup allows for immediate, installation-free practice, ensuring you can master MEX-file generation and advanced parallel computing tasks efficiently.
What is Koenig's rescheduling and cancellation policy for the Accelerating and Parallelizing MATLAB Code course, including any fees?
Koenig allows one free reschedule if requested at least 10 days before your Accelerating and Parallelizing MATLAB Code start date. Changes made within 10 days incur a 50% fee of the total course price. Cancellations within this 10-day window also trigger the same 50% penalty. This policy ensures high-quality, consistent training standards for all participants while maintaining administrative fairness.
What is the format, number of questions, passing score, and time limit for the MathWorks certification exam related to this course?
The MathWorks Certified MATLAB Associate exam features 50 multiple-choice questions with a 90-minute time limit. You must achieve a 70% passing score, or 35 correct answers. Delivered via Webassessor, the exam validates your mastery of vectorization, preallocation, and performance optimization techniques. These core skills are central to the Accelerating and Parallelizing MATLAB Code curriculum provided by MathWorks.
How long is the MathWorks MATLAB certification valid, and what is the renewal process and cost?
Your MathWorks MATLAB Associate Certification has no formal expiration date. However, MathWorks may require you to pass a revised exam if certification standards evolve. There is no recurring renewal fee, though retaking the exam costs the standard $160. MathWorks reserves the right to update these policies to ensure your credential remains aligned with current industry and technology benchmarks.
What post-training support does Koenig provide after completing the Accelerating and Parallelizing MATLAB Code course?
Koenig offers 30 days of expert post-training support for the Accelerating and Parallelizing MATLAB Code course. You gain access to mentors, recorded sessions, and dedicated doubt-clearing sessions. We also provide practice exams and exam preparation materials. Under specific programs, you may qualify for one free course retake within six months, ensuring you fully master GPU acceleration and MEX-file compilation techniques.
What are the prerequisites or prior experience needed for the Accelerating and Parallelizing MATLAB Code course?
To succeed in the Accelerating and Parallelizing MATLAB Code course, you should complete MATLAB Fundamentals or possess equivalent experience. You need a solid grasp of basic programming, including loops, functions, and conditional logic. Practical experience with scripts and array manipulation is essential. This foundation allows you to effectively implement advanced features like parfor-loops, GPU computing, and efficient MEX-file generation.
What salary increase or career impact can professionals expect after completing the Accelerating and Parallelizing MATLAB Code course and earning certification?
MathWorks certification significantly boosts your career. According to the 2025 Pearson VUE report, 32% of certified professionals receive salary increases, with 31% seeing raises exceeding 20%. Industries like aerospace, automotive, and biotech prioritize these skills, offering high median salaries. Certification improves your productivity by over 70% and increases your job promotion prospects by 63% after completing your Accelerating and Parallelizing MATLAB Code training.
How does instructor-led training in Accelerating and Parallelizing MATLAB Code compare to self-study in terms of effectiveness and learning outcomes?
Instructor-led training for Accelerating and Parallelizing MATLAB Code is significantly more effective than self-study. Data shows 95% of attendees report high real-world applicability, with an average competence increase of 144%. Live instruction provides immediate feedback on complex challenges like parallelization overhead and GPU optimization. Structured, expert-led labs ensure you master performance-critical techniques that are difficult to achieve through independent study alone.
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