What you'll learn

AI-Driven Control Systems: Integrating AI, ML, IoT, and robotics Real-world applications: Autonomous robots for industries (e.g., delivery, healthcare) Final Project Work: Design and develop an AI-based autonomous robot, integrating IoT

Comprehensive Curriculum
Hands-on Learning
Job-Ready Skills

Interview Preparation
Networking Opportunities
Supportive Community
Lifetime Access

Course Content

Introduction to CAD Design & 3D Modelling, Overview of engineering design principles in robotics, Use Cases in industry: Robotics prototypes, mechanical parts. Software Tools - Solid works, Fusion 360, Basics of 3D modelling for 3D printing and simulations.

Fusion 360 & SolidWorks Basics - Advanced Modelling in SolidWorks & Fusion 360, Interface, tools and advanced mechanical part creation. Assembly design - Creating fully functional mechanical assemblies. Use Cases - Designing robotics joints, robotic arms.

Electronic components (resistors, capacitors, sensors), Circuit building Introduction to microcontroller architecture (e.g., Arduino, Raspberry Pi) PCB Design: Using software (e.g., KiCad, Altium Designer) for circuit design Real-world applications: Control boards for robotic systems

Embedded C Programming Basics of programming sensors, Actuators for robotic systems Arduino IDE & IoT Fundamentals IoT architecture, Communication protocols (MQTT, HTTP) Real-world applications: Robots interacting with IoT devices IoT Security & Cloud Integration Data security protocols for IoT robots, Cloud connectivity (AWS IoT, Azure)

Fundamentals of Robotics & Robotic Arms: History, Applications, Robotic kinematics, and manipulators Realworld applications: Industrial robots, Robotic arms in manufacturing Mobile Robots & Navigation: Basics of mobile robot platforms, Locomotion, Path navigation Real-world applications: Autonomous vehicles, Delivery robots

Kinematics, Dynamics & Control systems for mobile robots, Basic path planning, SLAM (Simultaneous Localization and Mapping) Advanced Robotic Algorithms: Path planning, Obstacle avoidance, and SLAM Use cases: Warehouse robots, Drones

ROS 2 Overview: Communication, Nodes, and tools Use cases: Multi-robot systems, Robotic research Simulation with Gazebo: Create and simulate complex robotic environments URDF & SLAM: Understanding robot models and navigation with SLAM

AI & Machine Learning Fundamentals Introduction to AI and ML techniques for robotics (e.g., neural networks, Reinforcement learning) Use cases: Robotic vision, Autonomous navigation Computer Vision & Deep Learning Real-world applications: Object recognition, Tracking, Human-robot interaction Tools: OpenCV, TensorFlow

AI-Driven Control Systems: Integrating AI, ML, IoT, and robotics Real-world applications: Autonomous robots for industries (e.g., delivery, healthcare) Final Project Work: Design and develop an AI-based autonomous robot, Integrating IoT

Program Structure

Designed for freshers and early career professionals
100+ Hours of Expert Video Content
Dedicated Program Support
Network with people of similar interests
Comprehensive curriculum and hands-on learning

Dedicated Career Support

1:1 mock interviews with industry experts
Career mentorship with industry experts
Access to 150+ job postings every month
Personalised Resume & Linkedin Review

EDUCATION FOR EVERYONE

For Enquiry You Can Contact

Instructors

Sabir K

R & D - Engineer - Big Data Data Science

Student Review

5.0

Course Rating

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From classroom to boardroom - our 10,000+ placement record isn't just a number, it's a testament to excellence. Our industry-aligned curriculum and dedicated career support have helped thousands land their dream jobs at top companies. Your next career breakthrough awaits.

CERTIFICATION BY NATIONAL COUNCIL FOR TECHNOLOGY & TRAINING

The Course is Certified by National Council for Technology & Training. NACTET certificates have high credibility among employers in India and abroad, especially in the Middle East and other parts of the world. All certificates issued by NACTET can be attested by the Ministry of External Affairs - Govt. of India and by the embassies of almost all countries.