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Matlab Associate Developer Certification

Learn withMatlab

3 modules

Lifetime access

Master MATLAB programming and problem-solving skills with our Associate Developer Certification course!

Overview

The MATLAB Associate Developer Certification course is designed to help participants learn the fundamental concepts of programming and problem-solving using MATLAB. Participants will gain hands-on experience in writing MATLAB code, creating scripts and functions, and analyzing data. This certification is ideal for individuals looking to build a strong foundation in MATLAB programming.

Key Highlights

Learn fundamental programming concepts in MATLAB

Gain hands-on experience in writing MATLAB code

Create scripts and functions for data analysis

What you will learn

Understand Fundamental Concepts

Learn the basic principles of programming and problem-solving using MATLAB.

Hands-On Experience

Gain practical experience by writing MATLAB code, creating scripts, and functions.

Data Analysis Skills

Learn how to analyze data and derive insights using MATLAB tools and functions.

Modules

What Is MATLAB?

Getting Started with Matlab

35 attachments • 2 hrs

Getting Started with MATLAB

Working in the Development Environment

How to Write a MATLAB Program - MATLAB Tutorial

How to Use Basic Plotting Functions

Working with Arrays in MATLAB

Introducing Structures and Cell Arrays

Introducing MATLAB Fundamental Classes (Data Types)

How to Extract Data Points from an Image

How to Speed Up MATLAB Code

How to Use Live Scripts in MATLAB

Using Monte Carlo Simulations to Make Probability Decisions

How to Analyze IoT Data in ThingSpeak

How to Call Python from MATLAB

How to Call MATLAB from Python

How to Segment Images Using Color Thresholding

How to Import Excel Data into MATLAB

How To Label Data For Deep Learning

How to Bring Data from MATLAB Into Simulink | Hear from MATLAB & Simulink Developers

How to Use Custom Automation Algorithms for Data Labeling

How to Optimize Control System Parameters in Simulink

How to Preprocess Time Series Data with MATLAB

How to Tune the Parameters of Algorithms Running on Hardware

How to Use for-Loops to Visualize Data in MATLAB

How to Create an Object Class in MATLAB

How to Collect Sensor Data on Your iPhone or Android Device Using MATLAB Mobile

How to Use Lookup Tables with Simulink

How to Implement Object-Oriented Programming Principles in MATLAB

How to Interact with Simulink Models from MATLAB Scripts

How to Improve Simulation Performance Using the Solver Profiler

How to Solve Math Problems Using Symbolic Math Toolbox

How to Use Source Control in MATLAB with GitHub

How to Use Buses in Simulink

Build a Solar Tracking System Using Simulink and ThingSpeak for Arduino

How to Visualize Multivariable Functions in MATLAB

Update Your Campus-Wide License

AI with Matlab and Simulink

37 attachments • 4 hrs

What Is MLOps?

What Is Explainable AI?

What Is Sentiment Analysis?

AI for Engineers: Building an AI System

Feature Engineering | Applied Machine Learning, Part 1

Receiver Operating Characteristic (ROC) Curves | Applied Machine Learning, Part 2

Hyperparameter Optimization | Applied Machine Learning, Part 3

Embedded Systems | Applied Machine Learning, Part 4

Why Choose Deep Learning? | Deep Learning for Engineers, Part 1

Working with Synthetic Data | Deep Learning for Engineers, Part 2

Data Preprocessing and the Short-Time Fourier Transform | Deep Learning for Engineers, Part 3

Using Transfer Learning | Deep Learning for Engineers, Part 4

Deploying Deep Learning Models | Deep Learning for Engineers, Part 5

Deep Learning in 11 Lines of MATLAB Code

Transfer Learning in 10 Lines of MATLAB Code | Deep Learning in MATLAB

Deep Learning with MATLAB Tutorial

Machine Learning vs. Deep Learning

Transfer Learning in 10 Lines of MATLAB Code | Deep Learning in MATLAB

What Is Deep Learning?

Machine Learning Fundamentals | Introduction to Machine Learning, Part 1

Unsupervised Machine Learning | Introduction to Machine Learning, Part 2

Supervised Machine Learning | Introduction to Machine Learning, Part 3

Getting Started with Machine Learning | Introduction to Machine Learning, Part 4

What Is Machine Learning and How Does It Work? | Machine Learning Explained

Deep Learning with MATLAB: Training a Neural Network from Scratch with MATLAB

Transfer Learning with Neural Networks in MATLAB

Deep Learning with MATLAB: Using Feature Extraction with Neural Networks in MATLAB

Interactively Build, Visualize, and Edit Deep Learning Networks

Modify a Deep Learning Network for Transfer Learning Interactively

Interactively Build Experiments to Fine-Tune and Compare Deep Learning Networks

How to Set Up Your Own Deep Learning Experiments

Deep Learning for Computer Vision Using MATLAB

Deep Learning for Signals

Identifying Condition Indicators | Predictive Maintenance

Estimating Remaining Useful Life (RUL) | Predictive Maintenance

Feature Extraction Using Diagnostic Feature Designer | Predictive Maintenance

What Is Sentiment Analysis?

FAQs

How can I enrol in a course?

Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

About the creator

About the creator

Learn withMatlab

Industry Standard for Engineering and Data Analysis: MATLAB is widely used in industries such as aerospace, automotive, telecommunications, and academia. Its comprehensive environment makes it an essential tool for designing complex systems, simulations, and models. 2. Powerful Tool for Numeric

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