Program Overview
This program, led by an industry expert with over 25 years of experience, explores the rapidly evolving domain of Connected Vehicles. Designed for corporate professionals, the course unpacks the technological architecture, communication protocols, data strategy, cybersecurity frameworks, testing methodologies, and monetization models that define connected mobility today. Through a balanced approach of conceptual clarity, situational awareness, real-world case studies, and immersive simulations, participants will gain actionable knowledge to address corporate challenges and accelerate deployment of connected vehicle solutions.
Features
- Understand the architecture and ecosystem of connected vehicle platforms
- Apply data, telemetry, and cybersecurity principles to real-world vehicle systems
- Analyze monetization strategies and regulatory implications for connected features
- Simulate real-world deployment, testing, and compliance scenarios for CV systems
Target audiences
- Telematics and embedded systems teams
- Product management, testing, validation, and cybersecurity roles
- R&D, Innovation, Strategy, and Digital Transformation functions
- Professionals working with or integrating IT, data, and cloud platforms into vehicle systems
Curriculum
- 9 Sections
- 49 Lessons
- 2 Days
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- The Connected Vehicle Ecosystem7
- 1.1Definitions: Connected Vehicle vs. Autonomous vs. Smart Vehicle
- 1.2Key domains: V2X, V2V, V2I, V2N, V2P
- 1.3Ecosystem players: OEMs, Tier-1s, Telecoms, Cloud, Regulators
- 1.4E/E Architecture evolution: CAN, Ethernet, OTA, SDVs
- 1.5Role of 5G, C-V2X, Edge computing, cloud offloading
- 1.6Buzzwords: Digital Twin, Over-The-Air (OTA), Digital Cockpit, Edge-AI
- 1.7Exercise: Map your current project/vehicle into a Connected Vehicle ecosystem chart
- Architecture Deep Dive – Hardware, Software & Communication6
- 2.1Key modules: TCU, HMI, ECUs, Gateways, GPS, Modems, eSIM
- 2.2Protocols: MQTT, HTTP, DDS, TCP/IP, C-V2X, DSRC
- 2.3OS & Middleware: QNX, Android Automotive, AUTOSAR Adaptive
- 2.4Cybersecurity elements: TLS, VPNs, Firewalls, PKI
- 2.5Diagnostic, logging & event tracing in connected systems
- 2.6Real-life Example: Architecting a connected vehicle stack for a luxury EV startup – problems, choices, trade-offs
- Data Strategy & Telemetry6
- 3.1Vehicle data types: CAN signals, location, status, diagnostics, user behavior
- 3.2Data lifecycle: Capture, clean, transmit, store, analyze
- 3.3Data monetization models: UBI, predictive maintenance, fleet analytics
- 3.4Edge vs. Cloud trade-offs
- 3.5Data privacy and compliance: GDPR, ISO 27001, OEM-specific rules
- 3.6Case Study: How a fleet operator reduced TCO using real-time telemetry analytics
- Cybersecurity in Connected Vehicles6
- 4.1Common threats: Man-in-the-middle, spoofing, malware injection, relay attacks
- 4.2Threat modeling for connected vehicles
- 4.3ISO/SAE 21434 – Key concepts
- 4.4Secure Boot, OTA validation, authentication frameworks
- 4.5Red team simulation overview
- 4.6Exercise: Simulate a cyber threat scenario in a connected vehicle system and respond as a team
- Regulatory & Functional Safety Landscape6
- 5.1UNECE WP.29 Cybersecurity & Software Update Regulations
- 5.2ISO 26262, ISO 21434 – Intersections & compliance strategies
- 5.3Functional safety in connected systems
- 5.4Homologation challenges for connected ECUs
- 5.5Regional variations (EU, US, China, India)
- 5.6Scenario Simulation: Delays in SOP due to OTA compliance failure – how to resolve it
- Business Models & Monetization for Connected Vehicles6
- 6.1Subscription models, pay-per-use, B2B2C strategies
- 6.2Usage-based insurance (UBI)
- 6.3Feature-on-demand (FOD), in-car commerce
- 6.4Strategic alliances: OEM-Telco, OEM-Cloud, OEM-Startup
- 6.5TCO and ROI modeling for CV programs
- 6.6Case study on how a mid-sized OEM monetized connected features in Gen-2 product line
- Testing & Validation of Connected Vehicle Features6
- 7.1Test strategies: SIL, HIL, VIL for connected ECUs
- 7.2Validation for OTA updates
- 7.3Simulators for V2X, GPS & cellular network simulation
- 7.4Cloud + lab co-testing practices
- 7.5KPIs for connectivity: latency, packet loss, uptime, jitter
- 7.6Exercise: Design a validation test suite for a new OTA feature release
- War Room Simulation – Launch Readiness for Connected Vehicle System4
- Integrating GenAI in Connected Vehicles2
Instructor
