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Smart Mobility and Autonomous Systems

The Smart Mobility and Autonomous Systems training program explores the technologies, frameworks, and innovations shaping the future of transportation. Participants will gain in-depth knowledge of intelligent mobility ecosystems — including connected vehicles, autonomous driving, electric mobility, and smart infrastructure integration.

Course Instructor: Rohith Kudukuli

Ft10861.20 Ft14481.60 25% OFF

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Course Overview

🧠 Why Smart Mobility and Autonomous Systems Matter

The future of transportation is being reshaped by the convergence of AI, IoT, and autonomous technologies. Smart Mobility and Autonomous Systems focus on developing intelligent, connected, and sustainable transport solutions—from self-driving cars to smart traffic networks. Understanding these systems equips you to lead innovations in autonomous vehicles, mobility-as-a-service (MaaS), and intelligent infrastructure.

Learning this helps you:

  • Understand the ecosystem of connected, data-driven transportation systems

  • Integrate AI, IoT, and automation to optimize mobility solutions

  • Evaluate ethical, safety, and regulatory aspects of autonomy in transport

  • Contribute to sustainable, efficient, and human-centric mobility design


🔧 Key Technologies & Concepts in Smart Mobility:

  • Autonomous Vehicles (AVs) – AI-driven systems enabling self-driving functionality, perception, and navigation

  • Vehicle-to-Everything (V2X) Communication – Real-time data exchange between vehicles, infrastructure, and users for safer, smarter roads

  • IoT & Sensor Fusion – Integration of sensors and IoT devices for environment perception and decision-making

  • Smart Traffic Management – Data analytics and AI for congestion control, route optimization, and urban mobility efficiency

  • Safety, Security & Ethics – Frameworks ensuring reliability, transparency, and accountability in autonomous systems


🚀 What You Can Do with Smart Mobility Expertise:

  • Design and develop intelligent mobility systems and autonomous platforms

  • Implement data-driven solutions for connected vehicles and cities

  • Innovate sustainable transportation strategies powered by AI and IoT

  • Optimize logistics, fleet management, and urban planning using autonomous technologies

  • Lead research and policy development for future-ready mobility ecosystems

Schedule of Classes

Course Curriculum

5 Subjects

1: Foundations of Smart Mobility and Autonomous Systems

4 Learning Materials

Introduction to Smart Mobility

Introduction to Smart Mobility - Student Material

PDF

Evolution of Autonomous Systems

Evolution of Autonomous Systems - Student Material

PDF

Key Components and Architecture

Key Components and Architecture - Student Material

PDF

Mobility-as-a-Service (MaaS)

Mobility-as-a-Service - Student Material

PDF

2: Core Technologies Driving Smart Mobility

5 Learning Materials

Artificial Intelligence in Mobility

Artificial Intelligence in Mobility - Student Material

PDF

Internet of Things (IoT) Integration

Internet of Things (IoT) Integration - Student Material

PDF

Sensor Fusion and Perception Systems

Sensor Fusion and Perception Systems - Student Material

PDF

Edge and Cloud Computing

Edge and Cloud Computing - Student Material

PDF

Big Data and Predictive Analytics

Big Data and Predictive Analytics - Student Material

PDF

3: Autonomous Vehicle Design and Operation

5 Learning Materials

Autonomous Vehicle Architecture

Autonomous Vehicle Architecture - Student Material

PDF

Navigation and Path Planning

Navigation and Path Planning - Student Material

PDF

Machine Learning for Autonomy

Machine Learning for Autonomy - Student Material

PDF

Simulation and Testing Environments

Simulation and Testing Environments - Student Material

PDF

Human-Machine Interaction (HMI)

Human-Machine Interaction (HMI) - Student Material

PDF

4: Connectivity, Infrastructure, and Safety

5 Learning Materials

Vehicle-to-Everything (V2X) Communication

Vehicle-to-Everything (V2X) Communication - Student Material

PDF

Smart Traffic and Infrastructure Systems

Smart Traffic and Infrastructure Systems - Student Material

PDF

Cybersecurity in Autonomous Systems

Cybersecurity in Autonomous Systems - Student Material

PDF

Safety Protocols and Standards

Safety Protocols and Standards - Student Material

PDF

Ethical and Legal Considerations

Ethical and Legal Considerations - Student Material

PDF

5: Future of Mobility and Industry Applications

4 Learning Materials

Sustainable and Green Mobility

Sustainable and Green Mobility - Student Material

PDF

Integration with Smart Cities

Integration with Smart Cities - Student Material

PDF

Logistics and Fleet Automation

Logistics and Fleet Automation - Student Material

PDF

AI Policy, Governance, and Innovation

AI Policy, Governance, and Innovation - Student Material

PDF

Course Instructor

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Rohith Kudukuli

15 Courses   •   10 Students