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ROS Developer Learning Path 2.0

ROS Developer Learning Path 2.0

Become a proficient ROS Developer with the ROS Developer Learning Path 2.0, a cutting-edge program designed to equip you with the skills to build, simulate, and deploy advanced robotic systems. From foundational robotics concepts to ROS 2 migration, Gazebo simulations, and deep learning integration, this course offers hands-on training in the Robot Operating System (ROS). By blending theory with industry-relevant projects like autonomous delivery robots and pick-place manipulators, you’ll gain the expertise to thrive in robotics engineering, autonomous systems, and AI-driven automation.

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Course Features
Lifetime Content Access
Self-Paced Learning
Live classes
Hands-On Labs
Technical Assistance
Doubt-clearing sessions.
Assignments and quizzes
Mentored Support
Internship
ROS Developer Certification
What you'll learn?
Prerequisites for Robotics and ROS
ROS Programming
Robot Simulation
URDF & Motion Planning
ROS 2 + Deep Learning
ROS Dev Tools
ROS Deployment
Becoming an ROS Developer
Industry Usecases
Prerequisites
A Windows 7/8/10, Mac or Ubuntu PC
4 GB of RAM
Coding Basics Required
Optional: Familiarity with Ubuntu/Linux, OOP, and electronics.
Extra skills you'll learn by choosing SKOLIKO
Project Management
Strategic Thinking
Tech-Savvy Mindset
Professional CV Crafting
Interview Preparation
Networking with Industry Experts.
Career Development
Organizational Culture
Certificate

GET CERTIFICATE | GET PLACEMENT IN TOP COMPANIES

Upon successful completion of this course and all assessments, you'll earn a valuable certificate. This credential formally validates your newly acquired skills and knowledge, serving as a tangible testament to your dedication and achievement in this field.

SKOLIKO is an innovative leader in the education industry, committed to bridging the divide between academic and professional spheres.

Embrace change, pursue growth

relentlessly, and let your passion drive

| Course Overview

This comprehensive curriculum progresses from fundamentals to advanced robotics development, ensuring mastery of ROS 1 and ROS 2. Key modules include:

  • ROS Fundamentals: Install ROS, program robots using C++/Python, and master TF, URDF, and Gazebo simulations.
  • Advanced Robotics: Perception stacks (OpenCV, PCL), SLAM, MoveIt! for robotic arms, and path planning.
  • ROS 2 Migration: Transition from ROS 1 to ROS 2, Docker deployment, and integration with NVIDIA Isaac/Webots simulators.
  • Real-World Applications: Build autonomous delivery robots, drones, legged robots, and self-driving car prototypes.
  • Career Readiness: GitHub portfolio development, Docker, CI/CD pipelines, and collaboration with open-source communities.

| Why Choose SKOLIKO?

Beyond technical skills, we focus on your career growth. Our blend of practical training, mentorship, and industry connections ensures that you stand out in the competitive data analytics field.

| Why This Course Matters in 2025

The Robot Operating System (ROS) is the most widely used framework in industrial and research robotics. With the shift from ROS 1 to ROS 2, companies are demanding developers who understand the entire robotics stack—from low-level control to high-level AI and cloud deployment. Mastering ROS Developer Path 2.0 gives you a competitive edge in industries like:

  • Autonomous Vehicles
  • Warehouse & Delivery Robots
  • Industrial Automation
  • Defense & Aerospace
  • Healthcare Robotics
  • Drone & UAV Development

| Who Is This Course For?

This course is ideal for:

  • Beginners looking to start their journey in robotics
  • Developers and engineers wanting to upskill in ROS & AI
  • Final-year students seeking career-ready robotics training
  • Professionals transitioning into robotics, automation, or AI Level: Intermediate to Advanced (Starts beginner-friendly, builds progressively)

| Next Steps After This Course

After completing this program, you’ll be able to:

  • Build and deploy real robotic systems (on land, air, or arms)
  • Apply for roles such as: ROS Developer, Robotics Software Engineer, Embedded Robotics Engineer, AI Robotics Specialist
  • Crack interviews with confidence using our mock Q&A and projects
  • Create an impressive GitHub, blog, or YouTube portfolio
  • Explore freelance and startup robotics opportunities
  • Join SKOLIKO's internship/job portal for direct industry opportunities
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MODULES

Prerequisites for Robotics and ROS(With Demo Video)

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Learning Basics of Electronics & Embedded Systems

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Learning Basics of Ubuntu/Linux

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Learning Basics of C++ and Python

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Learning Basics of libraries Qt, OpenCV, PCL

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Learning Basics of Git (Version Control System)

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Learning Basics of Docker and Virtualization Software

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Enhance your portfolio/visibility in web and getting a job in Robotics

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Learning Basics of Mechanical design & 3D Modeling in Robotics

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Learning Basics of 3D Printing for Robot Prototyping

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Learning Basics of Robot Simulator

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Kickstarting Robot programming using ROS 1

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Programming with ROS – Part 1

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Programming with ROS – TF Part 2

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Modeling a robot in ROS using Fusion 360

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Simulating your robot using Gazebo

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Simulating Jetbot in Gazebo

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Working with ROS perception

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ROS and Embedded System programming

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Building cheapest autonomous mobile robot using ROS

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Building Pick-Place application using Robotic arm

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ROS and State Machines

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ROS Nodelets

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ROS-Gazebo plugins

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ROS Path planners

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Rviz and Rqt plugins

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ROS-SLAM

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ROS-Controllers

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ROS Drones Projects: ArduPilot and Pixhawk

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ROS and Legged Robots

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ROS 1 Miscellaneous Projects

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Docker for ROS App deployment

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Testing and Deployment of your Code

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Making robots ready for the real world

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Migrating from ROS1 to ROS 2

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ROS 2 Essentials concepts with Basic Projects

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Programming with ROS 2 – Part 1

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Programming with ROS 2 – TF Part 2

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Modeling a robot in ROS 2 using Fusion 360

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Simulating your robot using Gazebo

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Working with ROS 2 perception

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ROS and Embedded System programming

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Building autonomous food delivery mobile robot using ROS

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ROS 2 Ignition and Webots

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ROS 2 and ISAAC Simulator

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Mastering ROS 2 concepts with Intermediate Projects

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Mastering ROS 2 and Deep Learning

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Docker for ROS 2 App deployment

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Testing and Deployment of your Code

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ROS 2 Intermediate Projects

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Advance ROS 2 concepts with Advance Projects: ROS 2 -SLAM

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ROS 2 Controllers

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ROS 2 - Gazebo & Ignition plugins

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ROS 2 Navigation & Path planners

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Rviz 2 and Rqt Plugins

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ROS 2 in Self-driving cars

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ROS 2 Deep learning

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Becoming a ROS Developer

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Course duration - 200 Hours

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Course day - every week "Saturday"

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Course time - 04:00pm to 07:30pm

No instructor data available.

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