Path Planning Courses and Certifications

javidx9

Path Planning - A* (A-Star) Algorithm Implementation in C++

Learn to implement the A* pathfinding algorithm in C++, with a step-by-step tutorial covering key concepts, practical coding, and visual demonstrations at the command prompt.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Algorithms, Part II

21 ratings

Explore advanced algorithms and data structures, focusing on graph and string processing. Learn efficient Java implementations and analyze their performance for real-world applications.

• Coursera
• 63 hours
• Self-Paced
• Paid Course

VinAI

Chance Constrained Simultaneous Task Allocation and Path Planning for Multi-Robot Systems

Explore multi-robot task allocation and path planning with probabilistic performance guarantees. Learn algorithmic approaches for optimizing team performance in open environments.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Robotic Path Planning and Task Execution

18 ratings at Coursera

Learn path planning algorithms, collision checking, behavior trees, and basic manipulation for robotics. Implement a complete mobile manipulation solution in the final project using Webots simulator.

• Coursera
• 1 day 19 hours 23 minutes
• Self-Paced
• Paid Course

Institute for Pure & Applied Mathematics (IPAM)

Abstractions for Programming Distributed Robotic Applications

Explore programming abstractions for distributed robotic systems, focusing on platform-independent control and coordination code that's portable and verifiable, using the Koord language.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

GERAD Research Center

An Optimal Control-Based Approach for the Dubins Travelling Salesman Problem with Neighbourhoods

Discover optimal control formulations for the Dubins TSP with neighbourhoods, where vehicles visit continuous regions. Learn direct transcription techniques and decomposition algorithms.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Career Certificate

Algorithms

5989 ratings at Coursera

Comprehensive introduction to algorithms, covering key concepts and practical applications. Emphasizes conceptual understanding for technical interviews and professional discussions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Build a Maze Solver in Python

222 ratings at Boot.dev

Master maze-solving algorithms while building an interactive GUI application in Python and Tkinter that generates and automatically solves randomized mazes through systematic problem-solving approaches.

• Boot.dev
• 10 hours
• Self-Paced
• Paid Course

Graph Search, Shortest Paths, and Data Structures

1999 ratings at Coursera

Explore data structures, graph algorithms, and their applications in computer science, from search techniques to social network analysis.

• Coursera
• 13 hours 32 minutes
• Self-Paced
• Paid Course

Introduction to Network Analysis in Python

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Mecharithm - Robotics and Mechatronics

Navigation, Path Planning & Control Using AMCL Package - ROS Tutorials for Beginners

Learn to implement robot navigation, path planning, and control using ROS's amcl package. Practice localizing a robot during motion in Gazebo and setting autonomous movement between points in RVIZ.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

The Julia Programming Language

Leveraging Julia Ecosystem to Solve a Path Planning Problem

Discover how Julia's ecosystem enables fast, robust path planning for automated hospital systems, combining physical modeling and optimization to solve collision avoidance challenges.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Career Certificate

Self-Driving Cars

3555 ratings at Coursera

Master autonomous vehicle technology through hands-on projects using CARLA simulator. Gain comprehensive understanding of state-of-the-art engineering practices and build your own self-driving software stack.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Mastering Graphs in Python

Master graph theory fundamentals in Python, from adjacency representations to BFS/DFS algorithms. Practice with real-world examples and tackle interview-style problems through hands-on implementation.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

AI for Autonomous Vehicles and Robotics

63 ratings at Coursera

Master the fundamentals of AI applications in autonomous systems, exploring machine learning algorithms for perception, decision-making, and control in self-driving vehicles and robotics.

• Coursera
• 6 hours 42 minutes
• Self-Paced
• Paid Course