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Modern Robotics, Course 6: Capstone Project, Mobile Manipulation (Coursera) Coursera
Northwestern University

Modern Robotics, Course 6: Capstone Project, Mobile Manipulation (Coursera)

Engineering Sci: Physics

Embark on an exciting journey into advanced robotics with our Capstone Project in Mobile Manipulation. In this final course of the Modern Robotics specialization, you'll develop the skills to plan and execute complex tasks involving both a mobile base and a robotic arm. By leveraging trajectory planning, odometry, and feedback control techniques, you will create software that enables your robot to perform sophisticated pick-and-place operations. Start now with the provided Modern Robotics library and build upon your previous knowledge to achieve mastery in mobile manipulation.

Jun 22nd 2026
4 Weeks
Robotics MATLAB Mobile
Details
Introduction to Image Processing (Coursera) Coursera
MathWorks

Introduction to Image Processing (Coursera)

CS: Software Engineering

Embark on an exciting journey into the world of image processing with our beginner-friendly course. From loading and saving images to performing advanced adjustments like segmentation and quantitative analysis, this course is designed to equip you with essential skills in manipulating digital imagery. Perfect for enthusiasts and professionals alike who want to delve deeper into visual data analysis.

Jun 22nd 2026
4 Weeks
MATLAB Digital Image Image Processing
Details
Introduction to Deep Learning for Computer Vision (Coursera) Coursera
MathWorks

Introduction to Deep Learning for Computer Vision (Coursera)

Data Science

Begin your journey into the world of deep learning with our foundational course on Computer Vision. Designed for beginners, this course will equip you with the skills needed to develop cutting-edge models capable of image classification. Explore practical applications like medical imaging analysis and traffic sign recognition, laying a strong foundation for more complex object detection techniques.

Jun 22nd 2026
4 Weeks
Artificial Intelligence MATLAB Computer Vision
Details
Advanced Deep Learning Techniques for Computer Vision (Coursera) Coursera
MathWorks

Advanced Deep Learning Techniques for Computer Vision (Coursera)

Data Science

Dive into the world of advanced deep learning with our 'Advanced Deep Learning Techniques for Computer Vision' course. Perfect for professionals working in visual inspection, medical imaging, or any field where identifying anomalies in images is crucial. This course will equip you with specialized models like anomaly detectors, calibration techniques, and strategies to tackle common data challenges using deep learning.

Jun 22nd 2026
4 Weeks
Artificial Intelligence MATLAB Computer Vision
Details
Matlab and Simulink Basics (Coursera) Coursera
Starweaver

Matlab and Simulink Basics (Coursera)

CS: Software Engineering

Embark on a foundational learning path with 'Matlab and Simulink Basics'. This course is designed to equip you with the essential knowledge and practical skills needed to effectively use MATLAB's programming environment and Simulink for modeling complex systems. Whether you're an aspiring engineer, scientist, or researcher, this course offers a structured approach to mastering these powerful tools.

Jun 22nd 2026
4 Weeks
MATLAB Data Analysis Computer Programming
Details
Dynamical Modeling Methods for Systems Biology (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Dynamical Modeling Methods for Systems Biology (Coursera)

Sci: Biology & Life Sciences Sci: Mathematics

Discover the fundamentals of dynamical modeling used in advanced Systems Biology research through this engaging online course. Designed for both undergraduates and beginning graduate students, this course offers a case-based approach to learning contemporary mathematical modeling techniques relevant to biological systems. Enhance your understanding of how mathematical models are employed as tools to interpret experimental data and gain deeper insights into biological processes.

Jun 15th 2026
5-12 Weeks
Biology MATLAB Biotechnology
Details
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Probabilistic Graphical Models 1: Representation, a Coursera course designed for those eager to understand how to represent complex joint probability distributions. This course explores the intersection of statistics and computer science, teaching you essential concepts from probability theory, graph algorithms, and machine learning that are crucial in developing state-of-the-art methods across numerous applications.

Jun 8th 2026
5-12 Weeks
MATLAB Octave Machine Learning
Details
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