| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Advanced |
| Duration | 4 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹5499 / $59 |
| Tools | Actuators and Sensors AI Algorithms AI in Robotics AI-Powered Robotics Autonomous Robots Robotic Systems Robot Control Automation Navigation Path Planning |
About the Robotics Fundamentals with AI Course - 4 Weeks Course
The Robotics Fundamentals with AI course is a beginner-level program designed to introduce learners to the essential concepts of robotics, intelligent machines, automation, and artificial intelligence-based robotic systems. The course explains how robots sense their surroundings, process information, make decisions, and perform physical actions using integrated hardware and software systems.
This program provides a structured foundation in robotic components, movement systems, sensing mechanisms, control logic, and AI-driven decision-making. Learners will explore how robotics is used in manufacturing, healthcare, logistics, agriculture, education, home automation, and smart industries.
Special emphasis is placed on Actuators and Sensors, AI Algorithms, AI in Robotics, AI-Powered Robotics, and Autonomous Robots, helping learners understand how intelligent robotic systems are designed, operated, and applied in real-world environments.
Program Highlights
• Mentorship by industry experts and NSTC faculty
• Beginner-friendly introduction to robotics and artificial intelligence concepts
• Structured learning in robotic sensing, movement, control, and automation
• Hands-on conceptual exposure to actuators, sensors, and AI-powered robotic systems
• Case studies on autonomous robots in industry, healthcare, logistics, and smart environments
• Focus on practical robotics foundations, intelligent behavior, and future automation trends
• e-Certification + e-Marksheet upon successful completion
Course Curriculum
Module 1: Introduction to Robotics and AI
- Overview of Robotics and Its Importance in Modern Technology
- Basic Components of Robotic Systems
- Role of Artificial Intelligence in Robotics
- Applications of Robotics Across Industries and Daily Life
Module 2: Fundamentals of Robotic Systems
- Understanding Robot Structure and Function
- Mechanical Movement, Control Units, and Task Execution
- Types of Robots and Their Use Cases
- Difference Between Manual, Automated, and Intelligent Robotic Systems
Module 3: Actuators and Sensors
- Introduction to Actuators and Sensors
- Role of Sensors in Detecting Environment, Motion, Distance, Light, and Touch
- Role of Actuators in Movement, Rotation, Gripping, and Physical Action
- How Actuators and Sensors Work Together in Robotic Systems
Module 4: AI Algorithms for Robotics
- Introduction to AI Algorithms
- How Robots Use AI Algorithms for Decision-Making
- Pattern Recognition, Object Detection, Navigation, and Task Planning Concepts
- Importance of Data, Feedback, and Learning in Robotic Intelligence
Module 5: AI in Robotics
- Role of AI in Robotics
- AI-Based Perception, Control, and Automation
- Using AI to Improve Robot Accuracy, Adaptability, and Efficiency
- Examples of AI in Robotics for Smart Machines and Automated Workflows
Module 6: AI-Powered Robotics
- Introduction to AI-Powered Robotics
- Designing Robots That Can Sense, Decide, and Act
- AI-Powered Robotics for Industrial, Healthcare, Service, and Educational Applications
- Benefits and Limitations of AI-Powered Robotic Systems
Module 7: Autonomous Robots
- Understanding Autonomous Robots
- Navigation, Obstacle Avoidance, Path Planning, and Environmental Awareness
- Autonomous Robots in Warehouses, Agriculture, Transportation, and Smart Facilities
- Safety, Reliability, and Human-Robot Interaction Considerations
Module 8: Case Studies and Future Opportunities
- Case Studies in AI-Powered Robotics and Autonomous Robots
- Challenges in Robotics Development, Cost, Safety, and Deployment
- Ethical Considerations in Intelligent Robotic Systems
- Future Opportunities in Robotics, Automation, and AI-Driven Innovation
Tools, Techniques, or Platforms Covered
Actuators and Sensors AI Algorithms AI in Robotics AI-Powered Robotics Autonomous Robots Robotic Systems Robot Control Automation Navigation Path Planning
Real-World Applications
- Building foundational understanding of robotic systems used in automation and smart technologies
- Understanding how actuators and sensors help robots interact with the physical world
- Applying AI algorithms for robot decision-making, navigation, and task execution
- Exploring AI in robotics for industrial automation, healthcare support, and service robots
- Studying AI-powered robotics for intelligent machines and adaptive systems
- Understanding autonomous robots used in logistics, agriculture, transportation, and smart environments
- Preparing learners for further study in robotics, automation, and artificial intelligence applications
Who Should Attend & Prerequisites
- Designed for beginners, students, early-stage engineers, technology learners, robotics enthusiasts, educators, and professionals interested in robotics, automation, and artificial intelligence.
- Suitable for learners from engineering, computer science, electronics, mechanical systems, automation, data science, school/college STEM programs, and related fields.
Certification
