TOP NEW MATLAB COURSE WITH FREE CERTIFICATIONS
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MatLab Academy
Here we can learn courses, Skills, Matlab deep learning, Matlab Machine Learning, Images Processing, Image Processing with free certificates.
Now the Matlab Academy has released New MatLab self-paced courses with certifications. Here all the lessons will be available in English, Chinese, Spanish, Japanese and Korean Languages.
1. MATLAB Onramp.
2. Simulink Onramp.
3. Machine Learning Onramp.
4. Deep Learning Onramp.
5. Reinforcement Learning Onramp.
6. Image Processing Onramp.
7. Signal Processing Onramp.
8. Simscape Onramp.
9. Stateflow Onramp.
10. Control Design Onramp with Simulink.
MATLAB Onramp- Course Module:
1. Familiarize yourself with the course.
2. Commands.
3. MATLAB Desktop and Editor.
4. Vectors and Matrices.
5. Indexing into and Modifying Arrays.
6. Array Calculations.
7. Calling Functions.
8. Obtaining Help.
9. Plotting Data.
10. Review Problems.
11. Importing Data.
12. Logical Arrays.
13. Programming.
14. Final Project.
15. Conclusion.
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Simulink Onramp- Course Module:
1.Familiarize yourself with the course.
2.Simulink Graphical Environment.
3.Inspecting Signals.
4.Basic Algorithms.
5.Obtaining Help.
6.Project: Automotive Performance Modes.
7.Simulink and MATLAB.
8.Dynamic Systems in Simulink.
9.Discrete Systems.
10.Continuous Systems.
11.Simulation Time.
12.Project: Modeling a Thermostat.
13.Project: Peregrine Falcon Dive.
#Matlab
Machine Learning Onramp- Course Module:
1.Overview of Machine Learning.
2. Classification Workflow.
Build a simple model to perform a classification task.
3. Importing and Preprocessing Data.
Import data from multiple files.
4. Engineering Features.
Calculate features from raw signals.
5. Classification Models.
Train and use Machine Learning models to make predictions.
6. Conclusion.
Deep Learning Onramp- Course Module:
1. Introduction.
2. Using Pretrained Networks.
3. Managing Collections of Image Data.
4. Performing Transfer Learning.
5. Conclusion.
Reinforcement Learning Onramp- Course Module:
1. Overview of Reinforcement Learning.
2. Defining the Environment.
3. Defining Agents.
4. Training Agents.
5. Conclusion.
Image Processing Onramp- Course Module:
1. Introduction.
2. Working with Images in MATLAB.
3. Segmenting an Image.
4. Pre- and Postprocessing Techniques.
5. Classification and Batch Processing.
6. Conclusion.
Signal Processing Onramp- Course Module:
1. Course Overview.
2. Spectral Analysis Workflow.
3. Preprocessing Signals.
4. Spectral Analysis.
5. Filtering.
6. Signal Measurements.
7. Conclusion.
#topcourses
Simscape Onramp- Course Module:
1.Familiarize yourself with the course.
2.Building Simscape Models
Create your first Simscape models.
3.Exploring Results
Learn how to explore the results of simulations.
4.Understanding Physical Signals
Learn about how information is carried through a Simscape model.
5.Initial Values in Simscape
Set initial values in your Simscape models.
6.Multidomain Modeling
Model in the interactions between multiple physical domains.
7.Simscape and Simulink
Implement feedback control with Simscape and Simulink.
8.Project: Electronic Valve
Review what you have learned by modeling an electronic valve.
9.Conclusion
Learn about the next steps and give feedback on the course
Stateflow Onramp- Course Module:
1.Familiarize yourself with the course.
2.State Machines and Stateflow.
Understand state machines and how to create them in Stateflow.
3.Creating State Charts.
Learn how to create Stateflow charts.
4.Stateflow Symbols and Data.
Understand Stateflow data and data scope.
5.Chart Actions.
Control chart execution with actions.
6.Chart Execution.
Learn about the relationship between Stateflow chart execution and Simulink®.
7.Project: Robotic Vacuum.
Model the supervisory control for a home vacuum robot.
8.Flow Charts.
Use flow charts to model common logic patterns.
9.Functions in Stateflow.
Improve chart readability and reuse code using functions.
10.Chart Hierarchy.
Organize your charts using hierarchy.
11.Project: Robotic Vacuum Driving Modes.
Model the driving modes for a home vacuum robot.
Control Design Onramp with Simulink- Course Module:
1.Familiarize yourself with the course.
2.Control System Plant.
Learn about the control system plants, inputs, and outputs.
3.Linearizing the Plant with Model Linearizer.
Obtain an LTI estimation of the nonlinear plant with a Model Linearizer.
4.Feedback Control with PID.
Learn about feedback control and PID controllers.
5.PID Tuning.
Tune a PID controller with PID Tuner to meet design requirements.
6.Project: Robotic Leg Control.
How to register for these courses?
Just click the below link to sign in if you already have a Matlab account means just log in. This link will be directed to new Matlab courses.
Wanna thank us?
After Completing these courses tag us on Linkedin or Instagram with your certificate.
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Instagram : Instrumenting knowledge
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