| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Artificial Intelligence Autonomous Systems Robotics Basics Computer Vision Concepts Decision-Making Systems |
About the AI for Autonomous Systems: Overview Course
The AI for Autonomous Systems: Overview course is a free, beginner-friendly self-paced program designed to introduce learners to how artificial intelligence enables machines to operate independently without constant human control.
The course explains how AI is used in systems such as self-driving cars, drones, robots, and smart devices. Learners will explore key concepts such as perception, decision-making, navigation, and automation in autonomous systems. This course is ideal for beginners who want to understand how intelligent systems interact with the real world.
Program Highlights
• Free beginner-level AI for autonomous systems course
• Online self-paced learning format
• Simple explanation of autonomous system concepts
• Covers perception, decision-making, and automation basics
• Real-world examples from robotics, vehicles, and drones
• Suitable for students and first-time learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Autonomous Systems
- What are Autonomous Systems?
- Role of AI in Autonomous Systems
- Examples: Self-Driving Cars, Drones, Robots
- Applications in Industry and Daily Life
Module 2: Perception and Data in Autonomous Systems
- Understanding Sensors and Data
- Introduction to Computer Vision and Sensor Data
- How Machines Perceive the Environment
- Importance of Real-Time Data
Module 3: Decision-Making and Control
- How Autonomous Systems Make Decisions
- Basic Idea of Path Planning and Navigation
- Role of Machine Learning in Decision-Making
- Examples of Automated Control Systems
Module 4: Applications of Autonomous Systems
- Autonomous Vehicles and Transportation
- Robotics and Industrial Automation
- Drones and Smart Surveillance
- AI in Smart Cities and Infrastructure
Module 5: Future Scope and Challenges
- Challenges in Autonomous Systems: Safety and Reliability
- Ethical and Regulatory Considerations
- Future Trends in AI and Automation
- Career Opportunities in AI and Robotics
Tools, Techniques, or Platforms Covered
Artificial Intelligence Autonomous Systems Robotics Basics Computer Vision Concepts Decision-Making Systems
Real-World Applications
- Understanding how self-driving cars navigate roads
- Exploring drones used in delivery and surveillance
- Learning how robots automate industrial tasks
- Applying AI in smart cities and transportation systems
- Preparing for advanced learning in robotics and AI systems
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals interested in understanding how AI powers autonomous systems.
- It is also useful for learners from engineering, robotics, computer science, electronics, and technology backgrounds.
Certification
