Training Services

Learn to import data from mixed files, manipulate and group data, and create custom visualizations.

Learn to create regression, classification, and clustering models and improve their performance.

Learn to use and create deep neural networks for classification, regression, and object detection using image and sequence data.

Course topics include significance tests, distribution fitting, regression, and generating random simulations.

Prepare time-series data for machine learning analysis. Topics include importing signals, removing outliers, and extracting features in time and frequency domains.

Learn analytics, signal processing, and machine learning techniques needed for predictive maintenance and condition monitoring workflows.

Speed up your MATLAB code. Compile your MATLAB code into MEX files and solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters.

Learn to perform local and global optimization in MATLAB by translating the objective and constraints into a MATLAB code and choosing appropriate optimization solvers.

This two-day course focuses on developing
and verifying automated driving perception
algorithms using MATLAB and Automated
Driving Toolbox.

This one-day course introduces
reinforcement learning in the MATLAB® and
Simulink® environments, focusing on using
the Reinforcement Learning Toolbox.

This one-day course provides hands-on
experience with performing computer vision
tasks with MATLAB and Computer Vision
System Toolbox.

This one-day course provides hands-on
experience with developing and testing
localization and tracking algorithms.
Examples and exercises demonstrate the
use of appropriate MATLAB® and Sensor
Fusion and Tracking Toolbox functionality.

Gain insight into representing big data in MATLAB, adjust the existing code to work efficiently with it, and scale up the analysis to take advantage of your own computing resources or a cloud.

Learn to create flexible and robust applications, efficiently structure code and data, and leverage the unit testing framework.

Speed up your MATLAB code. Compile your MATLAB code into MEX files and solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters.

Discover how to lay out apps in the App Designer, create callback functions for interactive components, and make responsive graphical objects.

Learn about namespaces, packages, and classes in MATLAB. Create extensible applications with inheritance. Enable object synchronization with events and listeners.

This two-day course provides a
comprehensive introduction to the key
principles and techniques of object-oriented
application development using MATLAB®.

This one-day course focuses on adapting
existing algorithms to work with a dataset
that is too big to fit in memory.

This one-day course focuses on importing
and preparing data for data analytics
applications.

This two-day course covers C code
generation from MATLAB code using
MATLAB Coder. The focus is on making
existing MATLAB code compliant,
generating C code that meets optimization
requirements, and integrating generated
code with external modules. Topics include:
preparing MATLAB code for code generation,
working with fixed-size and variable-size
data, integrating with external code and
optimizing generated code.

A code base is difficult to manage over time due to
evolving requirements and increasing complexity. Learn
how to improve the maintainability and extensibility of
your object-oriented code by restructuring it into a set of
classes with clear responsibilities and minimized interdependency. Understand the root causes of hard-tomanage code projects and how to prevent this by
following generic design principles. Solve common
design problems and avoid pitfalls by employing
specific design patterns. Throughout the training,
concepts are explained through use-cases, practical
examples, and hands-on exercises. UML class diagrams
are employed to visualize the newly introduced concepts
and design ideas.

Learn to detect and segment objects in images based on shape, color, and texture. The course also covers preprocessing images using noise removal techniques.

Explore how to perform object detection, tracking, and motion estimation on images and videos. The course also covers camera calibration, point clouds, and 3D reconstruction.

Discover how to label ground truth data, detect lanes and objects, generate driving scenarios and modeling sensors, and visualize sensor data.

This two-day course provides a
comprehensive introduction to create, train,
and evaluate different kinds of deep neural
networks. This course focuses on
convolutional neural networks and long
short-term memory networks to perform
classification, regression, forecasting,
solving custom problems and improving
the performance

This course demonstrates how to perform spectral analysis, and design and analyze digital filters including multirate and adaptive filters.

Prepare time-series data for machine learning analysis. Topics include importing signals, removing outliers, and extracting features in time and frequency domains.

Design single- and multi-carrier digital communications systems, create multi-antenna and turbo-coded communications systems, and work with radio-in-the-loop systems.

This one-day course, targeted toward knowledgeable users of Simulink, uses modeling techniques and tools to demonstrate how to do Mixed-Signal Verification using Simulink.

This one-day course provides a comprehensive introduction to practical deep learning for signals. Attendees will learn how to create, train, and evaluate
different kinds of deep neural networks for signal processing using MATLAB.

This two-day course shows how to use RF Blockset™ and RF Toolbox™ for modeling wireless front ends. You will learn when to use two different modeling paradigms to speed up the simulation of RF signals: Equivalent Baseband and Circuit Envelope. The fundamentals of the simulation techniques will be discussed, and best modeling practices will be highlighted.

Model discrete dynamic systems and perform spectral analysis and filter design with Simulink. Learn to build custom blocks and libraries and to incorporate external code.

This two-day course, targeted toward new
users of Simulink, uses basic modeling
techniques and tools to demonstrate how
to develop Simulink block diagrams for
mixed signal applications.

This two-day course provides a
comprehensive introduction to radar
system design and modeling with a focus
on Radar Toolbox and Phased Array
System Toolbox .

This three-day course reviews DSP
fundamentals from the perspective of
implementation within the FPGA fabric.
Topics discussed include DSP fixed-point
arithmetic, signal flow graph techniques,
HDL code generation for FPGAs, FFT
implementation, design and
implementation of FIR, IIR and CIC filters
and adaptive algorithms, CORDIC algorithm
and techniques for synchronization and
digital communications timing recovery.

This one-day course focuses on modeling
designs based on software-defined radio in MATLAB and Simulink and configuring and
deploying on the ADI RF SOM. Topics
discussed include model and simulate RF
signal chain and communication
algorithms, implementation of Radio I/O
and prototype deployment with real-time data via hardware/software codesign.

This hands-on, two-day course focuses on
developing and configuring models in
Simulink® and deploying on Xilinx® Zynq®
UltraScale+ RFSoCs.

This two-day course provides an overview of the 5G NR physical layer, highlighting differences and new features relative to the LTE physical layer.

This two-day course focuses on modeling
battery packs using Simscape and
designing key control functionalities of
battery management system using
Stateflow®.

This two-day course provides a general
understanding of how to accelerate the
design process for closed-loop control
systems using MATLAB and Simulink.

This one-day course describes techniques
for the modeling, controls, and validation of
electric motor drives using Simulink®,
Simscape Electrical™, and Motor Control
Blockset™.

This two-day course shows how to model
and simulate decision logic using
Stateflow. The course focuses on how to
employ flow charts, state machines, truth
tables, state transition tables and
component-based modeling in Simulink
designs.

This two-day course shows how to model
and simulate decision logic using
Stateflow. The course focuses on how to
employ flow charts, state machines, truth
tables, state transition tables and
component-based modeling in Simulink
designs. The course offers hands-on
automotive examples and exercises that
apply basic techniques to realistic
problems in the automotive industry

Discover how to architect and manage Simulink models efficiently. Themes include requirement integration, source control, enforcement of modeling standards, and report generation.

This five-day course describes guiding principles for applying Model-Based Design to meet ISO 26262 certification. It enables users to take advantage of the
Simulink® environment to synthesize, implement, and validate their software components in a manner consistent with the principles of ISO 26262.

This three-day course is intended for software engineers that are using MathWorks tools to generate production code intended for DO-178C certification.

This one-day course introduces
reinforcement learning in the MATLAB® and
Simulink® environments, focusing on using
the Reinforcement Learning Toolbox.

This two-day course focuses on modeling battery packs using Simscape™ and designing key control functionalities of battery management system using Stateflow®.

Learn to design and model control systems with Simulink. Topics include system identification, parameter estimation, control system analysis, and response optimization.

This one-day course presents multiple methods for integrating the C code into Simulink models. Topics discussed include the C Caller and C Function blocks, Legacy Code Tool for wrapping external C functions into Simulink, and manually written C MEX S-functions. This course is intended for intermediate to advanced Simulink users.

This two-day course describes techniques
for applying ModelBased Design in a
common design workflow. It provides
guidance on managing and sharing
Simulink models when working in a large-
scale project environment. This course is
intended for intermediate or advanced
Simulink users.

This one-day course describes techniques
for the modeling, controls, and validation of
electric motor drives using Simulink®,
Simscape Electrical™, and Motor Control
Blockset™.

This one-day course focuses on modeling
and controlling power electronic systems in
the Simulink environment using Simscape
Electrical. Themes of DC power electronic
systems, converter model fidelity,
linearization and control, three-phase power
electronic systems, and motor control are
explored throughout the course.

This one-day course focuses on developing
and analyzing model-based architectures
with System Composer and Requirements
Toolbox .

This two-day course shows how to model
and simulate decision logic using
Stateflow. The course focuses on how to
employ flow charts, state machines, truth
tables, state transition tables and
component-based modeling in Simulink
designs.

This two-day course shows how to model
and simulate decision logic using
Stateflow. The course focuses on how to
employ flow charts, state machines, truth
tables, state transition tables and
component-based modeling in Simulink
designs. The course offers hands-on
automotive examples and exercises that
apply basic techniques to realistic
problems in the automotive industry.

This three-day course is intended for software
engineers that are using MathWorks tools
to generate production code intended for DO-178C
certification. The course assumes
prior knowledge of Simulink modeling principles
and verification workflows in Simulink and
Polyspace. The course focuses on generating
artifacts from those workflows that can be used
in the DO certification process. Note that this
training course does not cover the DO-178C
or DO-331 standards themselves, but rather how
to use MathWorks tools to demonstrate
DO-178C and DO-331 compliance.

This five-day course describes guiding principles for applying Model-Based Design to meet ISO 26262 certification. It enables users to take advantage of the Simulink® environment to synthesize, implement, and validate their software components in a manner consistent with the principles of ISO 26262.

Get acquainted with using Simscape to model physical systems with components from various domains, such as the electrical, mechanical, or hydraulic; integrate Simscape models with Simulink models; and create custom user-defined Simscape components.

Understand how to model multibody mechanical systems; create custom geometries and compound bodies, assemble, guide, and verify mechanisms; and import CAD files.

Learn to model fluid power and fluid delivery systems; actuate and control fluid system models; connect fluid, mechanical, and thermal domains; and customize model components.

Pick up on modeling power electronic systems in the Simulink environment using Simscape Electrical™ and grasp design control with Simulink Control Design.

Become proficient in modeling three-phase systems, analyzing and controlling electrical power systems, modeling power electronic components, and speeding up simulation of electrical models.

Discover how to model vehicle bodies, tires, and mechanical power transmissions; design and optimize braking systems, and create multi domain automotive systems with closed-loop controllers.

This two-day course focuses on modeling battery packs using Simscape™ and designing key control functionalities of battery management system using Stateflow®.

This one-day course describes techniques
for the modeling, controls, and validation of
electric motor drives using Simulink®,
Simscape Electrical™, and Motor Control
Blockset™.

This two-day course focuses on partitioning Simulink models intended for real-time execution on Speedgoat target machines to execute on the CPU and FPGA.

This hands-on, two-day course focuses on developing and configuring models in Simulink® and deploying on Xilinx® Zynq® UltraScale+ RFSoCs.

Learn to prepare Simulink models for HDL code generation, generate HDL code and testbench for a compatible Simulink model, and perform speed and area optimizations.

Get insight into optimizing DSP algorithms for efficient implementations using HDL code generation for FPGAs.

Develop skills to deploy communication systems prototypes with real-time data on Zynq®-based radios via HW/SW co-design.

Learn about IP core generation and deployment using the AXI4 interface, processor-in-the-loop verification, and device driver integration.

This one-day course presents multiple
methods for integrating C code and MATLAB
code into Simulink models. Topics
discussed include writing C MEX Sfunctions, integrating MATLAB code, and the
Legacy Code Tool for wrapping external C
functions into Simulink.

This two-day course describes techniques
for generating, validating, and customizing
embedded code using Embedded Coder

This three-day course describes techniques
for generating, validating, and customizing
embedded code using Embedded Coder.
Topics include: Generated code structure
and execution; Code generation options and
optimalizations; Integrating generated code
with external code; Generating code for
multirate systems; Customizing generated
code and data.

This two-day course discusses Classic AUTOSAR-compliant modeling and code generation using AUTOSAR Blockset.

This three-day course discusses the use of
Polyspace Code Prover to prove code
correctness, improve software quality
metrics, and ensure product integrity. This
course describes techniques for creating a
verification project, reviewing and
understanding verification results,
emulating target execution environments,
handling missing functions and data,
managing unproven code, applying MISRA-C
rules and reporting analysis results.

This two-day course covers a variety of
techniques for making your MATLAB code run
faster. You will identify and remove
computational bottlenecks using techniques
like pre-allocation and vectorization. In
addition, you will compile MATLAB code
into MEX-files using MATLAB Coder. On top of that, you will take advantage of multiple cores on your computer by parallelizing
for-loops with Parallel Computing Toolbox
and scale up across multiple computers
using MATLAB Parallel Server.

This one-day, hands-on course discusses the
interpretation and review of Polyspace Bug
Finder and Polyspace Code Prover results in
Polyspace Access to remove algorithmic
defects, improve software quality metrics,
and improve product integrity. The course is
intended for engineers who review results
with Polyspace Access and need to change
their software in response to those results.

This two-day course focuses on AUTOSAR Adaptive-compliant modeling and code generation using AUTOSAR Blockset.

Train in preparing MATLAB code for code generation, work with fixed-size and variable-size data, and integrate generated code into parent projects and external modules.

This five-day course describes guiding principles for applying Model-Based Design to meet ISO 26262 certification. It enables users to take advantage of the Simulink® environment to synthesize, implement, and validate their software components in a manner consistent with the principles of ISO 26262.

This three-day course is intended for software
engineers that are using MathWorks tools
to generate production code intended for DO-178C
certification. The course assumes
prior knowledge of Simulink modeling principles
and verification workflows in Simulink and
Polyspace. The course focuses on generating
artifacts from those workflows that can be used
in the DO certification process. Note that this
training course does not cover the DO-178C
or DO-331 standards themselves, but rather how
to use MathWorks tools to demonstrate
DO-178C and DO-331 compliance

This hands-on, two-day course focuses on
developing and configuring models in
Simulink® and deploying on Xilinx® Zynq®
UltraScale+ RFSoCs

This hands-on, two-day course focuses on
developing and configuring models in
Simulink® and deploying on Xilinx® Zynq®
UltraScale+ RFSoCs

This one-day course focuses on modeling
designs based on software-defined radio in MATLAB and Simulink and configuring and
deploying on the ADI RF SOM. Topics
discussed include model and simulate RF signal chain and communication
algorithms, implementation of Radio I/O
and prototype deployment with real-time
data via hardware/software codesign.

This three-day course discusses the use of Polyspace Code Prover to prove code correctness, improve software quality metrics, and ensure product integrity. This course describes techniques for creating a verification project, reviewing and understanding verification results, emulating target execution environments, handling missing functions and data, managing unproven code, applying MISRA-C rules and reporting analysis results.

This one-day, hands-on course discusses the interpretation and review of Polyspace Bug Finder and Polyspace Code Prover results in Polyspace Access to remove algorithmic defects, improve software quality metrics, and improve product integrity. The course is intended for engineers who review results with Polyspace Access and need to change their software in response to those results.

This one-day course focuses on using Simulink Design Verifier to ensure that a design is devoid of possible design errors, is fully tested, and satisfies necessary requirements. Themes of detecting design errors, automatically generating tests, property proving and managing model complexity are explored throughout the course.

This one-day course, targeted toward knowledgeable users of Simulink, uses modeling techniques and tools to demonstrate how to do Mixed-Signal Verification using Simulink.

This one-day course describes techniques for testing Simulink model behavior against system requirements using Simulink Test, Simulink Requirements, and Simulink Coverage. This course focuses on verification and validation, developing test cases, analyzing test results and creating repeatable groups of tests.

This three-day course is intended for software engineers that are using MathWorks tools to generate production code intended for DO-178C certification. The course assumes prior knowledge of Simulink modeling principles and verification workflows in Simulink and Polyspace. The course focuses on generating artifacts from those workflows that can be used in the DO certification process. Note that this training course does not cover the DO-178C or DO-331 standards themselves, but rather how to use MathWorks tools to demonstrate DO-178C and DO-331 compliance.

This two-day course focuses on real-time testing workflows using Simulink Real-Time and Speedgoat real-time target computers. Topics include: Converting desktop-based simulation applications into real-time applications; Conducting rapid control prototyping with physical device under control; Creating interactive interfaces and formal test suites, Using standard communication protocols; Ptimizing realtime applications and hardware-in-the-loop testing.

This five-day course describes guiding principles for applying Model-Based Design to meet ISO 26262 certification. It enables users to take advantage of the Simulink® environment to synthesize, implement, and validate their software components in a manner consistent with the principles of ISO 26262.