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Machine Learning with MATLAB Intermediate

Master Learning with MATLAB to solve the critical challenge of extracting actionable insights from complex, real-world data. Designed for data scientists, engineers, and analysts, this course teaches supervised and unsupervised learning, regression, classification, and neural networks using Statistics and Machine Learning Toolbox. With demand for data scientists projected to grow 34% from 2024 to 2034 (BLS), this training bridges the skills gap in predictive modeling and AI-driven decision-making.

Prepare for the MathWorks Certified MATLAB Associate exam with Koenig’s Guaranteed-to-Run live training and 30-day lab access. Gain hands-on experience optimizing models and interpreting results, empowering you to advance into high-impact roles in AI, engineering, and data science.

24 Hours (3 Days)
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0+ professionals trained

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Course Overview

The Machine Learning with MATLAB course by MATLAB is designed for data scientists, engineers, and algorithm developers seeking to master predictive modeling and data analysis using MATLAB's powerful computational environment. This intermediate-level training equips learners with skills in supervised and unsupervised learning techniques, covering classification, regression, clustering, and neural networks using Statistics and Machine Learning Toolbox and Deep Learning Toolbox. With MATLAB appearing in over 1,400 job postings and demand growing across industries like aerospace, automotive, and medical devices, this course prepares professionals for roles such as Machine Learning Engineer, Data Scientist, and Systems Engineer. The curriculum aligns with real-world industry needs, where expertise in MATLAB-driven machine learning workflows is increasingly sought after for data-intensive applications.

Students engage with core technologies including MATLAB, Statistics and Machine Learning Toolbox, Deep Learning Toolbox, and MATLAB apps like Classification Learner and Regression Learner to build and evaluate models. The hands-on labs are conducted in the MATLAB desktop environment, where learners import and preprocess real-world datasets, apply feature selection and dimensionality reduction, and train models using cross-validation and hyperparameter optimization. A key project involves creating feed-forward neural networks for classification and regression tasks, allowing students to compare model performance and interpret results visually. These practical exercises emphasize a complete machine learning workflow—from data preparation to model deployment—ensuring proficiency in building accurate, production-ready models.

While there is no formal certification exam tied directly to this course, completing the Machine Learning with MATLAB training significantly strengthens readiness for data science and engineering roles that require model-based design and predictive analytics. Graduates gain a competitive edge in a field where senior MATLAB engineers earn between $125,000 and $175,000 annually in the U.S., with specialized roles in automotive and aerospace offering even higher compensation. Koenig Solutions enhances this learning experience with its Guaranteed-to-Run schedule and access to official MATLAB courseware, ensuring uninterrupted, instructor-led training. Upon completion, learners are well-positioned to advance into senior data science or machine learning engineering roles, driving innovation through intelligent data modeling and algorithm development.

What You'll Learn

✓Organize and clean datasets using MATLAB tables, tall arrays, and the 'prepareData' workflow.
✓Implement k-means and hierarchical clustering using the kmeans() and linkage() functions to identify data patterns.
✓Build classification models using fitcensemble and fitcsvm within the Statistics and Machine Learning Toolbox.
✓Develop predictive regression models using fitrensemble and fitrsvm to analyze continuous data relationships.
✓Train deep neural networks for complex pattern recognition using the trainNetwork function in the Deep Learning Toolbox.
✓Optimize model performance and prevent overfitting using crossval() and hyperparameter optimization workflows.

Prerequisites

Recommended knowledge before taking this course
  • The course prerequisites for Machine Learning with MATLAB training typically include: 1. Basic understanding of programming concepts: You should have a basic understanding of programming concepts like loops, conditionals, and functions. 2. Fundamental knowledge of MATLAB: It's essential to have a working knowledge of MATLAB, including creating scripts, using functions, and manipulating matrices and arrays. 3. Basic knowledge of mathematics: Familiarity with linear algebra, probability, and statistics is necessary for understanding the principles of machine learning. 4. Machine learning fundamentals: Although not mandatory, a background in machine learning theory is helpful. Topics like supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction can provide valuable context. 5. Familiarity with data preprocessing techniques: Basics of data preprocessing techniques like data cleaning, normalization, and feature extraction will be helpful in understanding the practical aspects of applying machine learning algorithms. 6. Basic understanding of optimization: Knowledge of optimization concepts like gradient descent can aid in understanding how machine learning models are trained and refined. 7. Optional knowledge of specific machine learning algorithms: Knowing specific algorithms, such as SVMs, decision trees, or deep learning techniques, will be useful but not mandatory. Most coursework will introduce and explain these algorithms within the context of MATLAB tools and functions. While these prerequisites are recommended, many machine learning courses with MATLAB training may also introduce the necessary concepts for newcomers to the field. It's advised to review the course outline to ensure it aligns with your existing skillset and knowledge. Machine Learning with MATLAB Certification Training Overview Machine Learning with MATLAB certification training is a comprehensive course that equips learners with the skills to apply machine learning techniques using MATLAB software. It covers key topics such as data preprocessing, regression, classification, clustering, and deep learning. Through this training, participants not only gain an understanding of relevant algorithms and statistical models, but also learn to implement them effectively using MATLAB's built-in functions and toolboxes, thereby enhancing their proficiency in solving real-world problems. Why should you learn Machine Learning with MATLAB? Machine Learning with MATLAB course empowers learners to harness the potential of statistical algorithms and advanced data analytics. It offers benefits like developing predictive models, streamlining data processing, and enhancing decision making. This course enables professionals to explore novel approaches, tailoring solutions for diverse industries, and drive business outcomes.
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Certification Exam

Everything you need to know about the Machine Learning with MATLAB certification exam

Exam Details
Exam Name
Machine Learning with MATLAB
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Machine Learning with MATLAB Data Import, Clustering, and Classification
Importing and organizing complex datasets Using MATLAB tables for efficient handling Applying robust data normalization techniques Cleaning datasets by removing missing observations Mastering unsupervised learning workflow concepts Implementing advanced clustering methods in MATLAB Quantitatively evaluating cluster model quality Building supervised learning model fundamentals
2
Day 2– Model Improvement, Regression, and Neural Networks with MATLAB
Applying cross-validation for model assessment Executing hyperparameter optimization methods effectively Optimizing data via feature transformation techniques Applying automated feature selection strategies Boosting accuracy with ensemble learning methods Developing parametric and nonparametric regression models Evaluating regression model performance metrics Deploying neural networks using Deep Learning Toolbox

What's Included in Your Training

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

Career Outcomes

78%

of Machine Learning with MATLAB certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Machine Learning with MATLAB 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
  • Machine Learning Engineer
  • Data Scientist
  • Systems Engineer
  • Software Engineer
  • Radar Systems Engineer
  • Embedded Software Engineer

Companies Hiring

5,000+
MathWorks Northrop Grumman General Motors Tesla Lockheed Martin Medtronic Boston Scientific Capgemini Wipro Infosys

and 5,000+ organizations worldwide seeking Machine Learning with MATLAB 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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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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

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

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

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    DP-600 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.”

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    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 Machine Learning with MATLAB training course

Is the MATLAB certification exam included in the Machine Learning with MATLAB course, and what is the exam fee?
The official MATLAB certification exam is not included in the Machine Learning with MATLAB course fee. You must purchase the MATLAB Associate exam separately for $45 plus taxes, totaling approximately $53.10 via the Webassessor platform.
What training formats does Koenig offer for Machine Learning with MATLAB, and is there a Guaranteed-to-Run schedule?
Koenig provides live online instructor-led training, private 1-on-1 sessions, and classroom training for Machine Learning with MATLAB. All formats are available as Guaranteed-to-Run (GTR) batches, ensuring your training proceeds regardless of minimum enrollment numbers.
How long is lab access provided, and what environment is used for hands-on practice?
Koenig grants access to hands-on labs through the TechLabs platform, featuring a secure cloud-based virtual machine environment. Lab access typically mirrors the 24-hour course duration, with flexible extensions available upon request for your convenience.
What is Koenig's rescheduling and cancellation policy for the Machine Learning with MATLAB course?
Koenig permits free rescheduling to the next available Guaranteed-to-Run batch. Please note that cancellations requested within 10 days of your Machine Learning with MATLAB course start date will incur a 50% fee of the total amount.
What is the format, number of questions, passing score, and time limit for the MATLAB certification exam?
The Certified MATLAB Associate exam features 50 multiple-choice questions with a 1.5-hour time limit. You must achieve a passing score of 70%. The exam is conveniently proctored online through the secure Webassessor platform.
How long is the MATLAB certification valid, and what is the renewal process and cost?
Your MATLAB certification remains valid indefinitely with no formal expiration date. However, MathWorks may periodically require candidates to pass a revised exam to maintain certification status as industry technology and technical standards evolve.
What post-training support does Koenig provide after completing the Machine Learning with MATLAB course?
Koenig offers comprehensive post-training support, including recorded session access, hands-on labs, and dedicated email assistance. You also benefit from retake options and expert mentor access under Koenig’s signature Happiness Guarantee policy.
What are the prerequisites or prior experience needed to enroll in the Machine Learning with MATLAB course?
The primary prerequisite for the Machine Learning with MATLAB course is the MATLAB Fundamentals training. This program is specifically designed for intermediate-level learners who possess foundational programming skills and practical data analysis knowledge.
What career roles and salary impact can one expect after completing the Machine Learning with MATLAB certification?
Graduates often secure roles as Systems Engineers, Data Scientists, or Machine Learning Engineers. According to 2026 job market data, these professionals command average U.S. salaries ranging from $135,000 to $177,000 annually after certification.
How does the Machine Learning with MATLAB course compare to self-study in terms of effectiveness and time efficiency?
Our instructor-led Machine Learning with MATLAB course delivers structured learning and expert guidance in just 24 hours. This is significantly more efficient than self-study, which often requires 40+ hours without guaranteed comprehension or hands-on support.

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