MATLAB Training Course

Course Overview

• Next Batch:New batches start every month. Limited seats available – enroll early!
• Course Duration:6 Weeks (Flexible schedules with part-time and full-time options).
• Eligibility: Engineering learners Professionals Data Analysts Researchers Anyone Interested in Technical Computing.
• Engineering learners.
• Anyone Interested in Technical Computing.

MATLAB Training Course

• Understand MATLAB environment, syntax, and workspace operations.
• Perform mathematical modeling, data visualization, and matrix computation.
• Simulate control systems, signals, and dynamic models using Simulink.
• Work on image processing, AI, and machine learning modules.
• Develop user interfaces and automate workflows using MATLAB scripts and GUIs.
• Prepare for the MATLAB credential preparation assessment and research or engineering career roles.

Overview of MATLAB Training Course

The MATLAB professional learning track is designed for engineering, science, and research professionals who want to master data analysis, simulation, and algorithm development. MATLAB's intuitive environment helps users perform complex numerical computations efficiently.

Through hands-on projects, learners explore applications in signal processing, image analysis, control systems, and AI modeling. By the end of this course, you'll earn your MATLAB credential preparation and gain the skills required for careers in R&D, automation, and computational engineering.

MATLAB Training Course

• MATLAB Environment & Interface.
• Operators and Data Statements.
• Software Versions and Instruction Set.

2. Programming Logic & GUI Design

• Algorithm Development in MATLAB.
• Introduction to GUI Design and Controls.
• Commands for GUI Interaction.

3. Data Processing and Visualization

• Data Import, Plotting, and Visualization.
• Mathematical Operations (ADD, SUB, MUL, DIV).
• Logical Operations (AND, OR, NOT, XOR).

4. Image Processing & Pattern Recognition

• Playing with Images and Pixels.
• Shape and Size Detection Algorithms.
• Steganography: Hiding & Retrieving Text in Images.

5. Signal & Video Processing

• Audio and Signal Filtering.
• Frame Analysis in Videos.
• Difference Between Image vs Video Processing.