
Automotive Programming Course
Master the full stack of automotive software engineering — from embedded C and ECU architecture to AUTOSAR, functional safety, diagnostics, and cybersecurity. This course gives you the practical technical depth that the automotive industry actually demands. Build real skills, work with real protocols, and get ready for real projects.
What you will learn:
You will gain a thorough understanding of vehicle electrical architecture, ECU hardware, and embedded software fundamentals before moving into advanced topics. You will configure AUTOSAR Classic and Adaptive platforms, implement CAN, LIN, FlexRay, and Ethernet communication protocols, and build UDS diagnostic servers from scratch. You will apply ISO 26262 functional safety processes, perform hazard analysis, and implement safety mechanisms in embedded code. You will also develop ADAS perception and sensor fusion pipelines, design secure OTA update systems, and explore EV powertrain software, including BMS and motor control.
How you study in practice Automotive Programming Course
How you practise Automotive Programming Course
For companies looking to train their teams
With Elevify for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Automotive Software Systems
Foundations of Automotive Software Systems
Lesson 1 • Automotive Software Domains
Maps software responsibilities across powertrain, chassis, body, and ADAS domains, detailing control algorithms, communication tasks, and safety functions. Learners categorise ECU functions, linking requirements to hardware allocation and integration challenges.
Lesson 2 • Development Toolchain Introduction
Surveys compilers, debuggers, and flash programmers used in automotive projects. Learners set up a working embedded development environment.
Lesson 3 • Vehicle Electrical Architecture Overview
Covers power distribution, ground networks, and signal types in modern vehicles. Connects hardware fundamentals to software control dependencies.
Lesson 4 • Electronic Control Units Explained
Examines ECU hardware components—microcontrollers, processors, peripheral interfaces—and memory types (flash, RAM, EEPROM) and their roles. Shows where automotive software runs, supporting real‑time control loops, diagnostics, and safety‑critical operations.
Lesson 5 • Embedded C for Automotive Basics
Introduces C programming constructs critical for resource-constrained ECUs. Bridges general programming knowledge to automotive-specific constraints.
Chapter 2HideHide detailsSee detailsAutomotive Communication Protocols
Automotive Communication Protocols
Lesson 1 • LIN Bus for Low-Speed Networks
Explains LIN single‑wire architecture, master‑slave scheduling, header/response frame formats, and wake‑up signalling, plus diagnostic extensions in LIN 2.x. Shows how low‑cost networks manage lighting, seat‑adjustment, and comfort functions.
Lesson 2 • Automotive Ethernet and DoIP
Covers 100BASE-T1 physical layer, TCP/IP stack adaptation, and DoIP routing. Prepares learners for high-bandwidth ADAS and OTA applications.
Lesson 3 • CAN Bus Architecture and Framing
Details CAN physical layer specs—differential signalling, termination, voltage levels—and frame structure (identifiers, DLC, CRC). Explains arbitration for message priority. Provides foundation for understanding timing, error handling, and controller interaction.
Lesson 4 • Network Management and Gateway Design
Teaches bus wake‑up/sleep coordination, NM messages, node power‑state transitions, and gateway routing across CAN, LIN, FlexRay. Learners create a multi‑bus routing table, handling address translation, latency, and security for cross‑network communication.
Lesson 5 • FlexRay for Safety-Critical Networks
Examines FlexRay's time‑triggered scheme, slot‑based scheduling, and dual‑channel redundancy for deterministic high‑bandwidth exchange. Covers synchronisation, error handling, and static/dynamic segments, linking to chassis control and safety‑critical systems like active safety and steer‑by‑wire.
Chapter 3HideHide detailsSee detailsAUTOSAR Classic Platform Architecture
AUTOSAR Classic Platform Architecture
Lesson 1 • Software Component Design and Ports
Covers SWC types (atomic, composed) and port interfaces (sender‑receiver, client‑server, service), plus data elements and calibration. Learners model a sensor‑actuator SWC with sender‑receiver ports, defining interfaces, data types, and communication paths.
Lesson 2 • OS and Scheduling in AUTOSAR
Explains OSEK/AUTOSAR OS concepts: task types, alarms, counters, and scheduling policies (fixed‑priority pre‑emptive and cooperative). Learners assign runnables, set timing budgets, and configure alarms for real‑time automotive functions.
Lesson 3 • BSW Module Configuration
Configures COM, PDU Router, and NvM BSW modules via ARXML, specifying signal mappings, routing, and memory attributes. Links protocol knowledge to AUTOSAR stack, showing CAN/LIN/FlexRay messages in BSW.
Lesson 4 • AUTOSAR Layered Architecture Overview
Introduces AUTOSAR’s four layers—Application, RTE, BSW, MCAL—detailing responsibilities, interfaces, and interactions. Provides a model for mapping functional requirements onto layered components and ensuring traceability.
Lesson 5 • MCAL Driver Configuration
Configures ADC, PWM, SPI, and CAN MCAL drivers for a target MCU, detailing initialisation parameters, channel mappings, and registers. Shows how low‑level peripheral control is encapsulated in MCAL services.
Chapter 4HideHide detailsSee detailsAutomotive Diagnostics and UDS Protocol
Automotive Diagnostics and UDS Protocol
Lesson 1 • Calibration with XCP Protocol
Introduces XCP over CAN/Ethernet for online calibration, measurement, and data acquisition, covering master‑slave communication, A2L files, and DAQ configuration. Enables real‑time ECU parameter tuning.
Lesson 2 • UDS Service Implementation
Implements core UDS services: DiagnosticSessionControl, SecurityAccess (seed‑key), ReadDataByIdentifier, WriteDataByIdentifier. Learners develop C request‑response handlers, manage session state, and ensure error handling and security.
Lesson 3 • OBD and Diagnostic Architecture
Surveys OBD‑II, WWH‑OBD extensions, and UDS layered structure, showing how physical, data link, session, and service layers interact. Provides diagnostic context before detailed protocol operations.
Lesson 4 • DTC Management and Fault Memory
Covers DTC status byte, snapshot (freeze‑frame) data, and extended data records, showing context for fault diagnosis. Links to AUTOSAR DEM configuration, mapping DTCs to software events.
Lesson 5 • ECU Flash Programming via UDS
Implements UDS RequestDownload, TransferData, and checksum verification, handling memory addresses, data chunking, and integrity checks. Learners perform a full ECU flash reprogramming sequence and verify via CRC.
Chapter 5HideHide detailsSee detailsFunctional Safety and ISO 26262
Functional Safety and ISO 26262
Lesson 1 • Safety Goals and Functional Safety Concepts
Derives safety goals, safe states, and functional safety requirements from HARA. Connects risk analysis output to software design constraints.
Lesson 2 • Verification and Validation for Safety
Covers verification and validation methods: unit and integration testing, plus safety analyses like FMEA and FTA. Learners produce a safety verification report with test results, coverage metrics, and risk assessments.
Lesson 3 • Safety Mechanisms in Embedded Software
Implements watchdog timer, MPU region configuration, and end‑to‑end (E2E) communication protection, covering setup, validation, and failure handling. Applies these mechanisms to AUTOSAR BSW components for robust fault detection.
Lesson 4 • Software Safety Requirements and Architecture
Translates functional safety requirements into software safety requirements and architecture. Learners design a safety-partitioned software module.
Lesson 5 • Hazard Analysis and Risk Assessment
Teaches HARA methodology, severity/exposure/controllability ratings, and ASIL determination. Learners perform HARA on a braking control function.
Chapter 6HideHide detailsSee detailsAUTOSAR Adaptive Platform and SOME/IP
AUTOSAR Adaptive Platform and SOME/IP
Lesson 1 • SOME/IP Protocol Deep Dive
Details SOME/IP message format—header, payload, transport considerations—and Service Discovery (SD) for announcing/finding services. Covers serialisation and alignment rules. Shows how ara::com maps to SOME/IP messages.
Lesson 2 • Adaptive Platform Architecture
Contrasts Adaptive vs Classic AUTOSAR and introduces Functional Clusters. Establishes the architectural model for service-oriented vehicle software.
Lesson 3 • Execution and State Management
Configures application manifests, process startup, and state machine transitions. Learners implement a multi-state adaptive application lifecycle.
Lesson 4 • Adaptive Platform Security Basics
Introduces IAM policies, TLS handshake, and SecOC within Adaptive AUTOSAR, covering certificate handling, encryption, and message authenticity. Prepares learners to design secure service communication for safety‑critical applications.
Lesson 5 • ara::com API and Service Interfaces
Implements service provider and consumer using ara::com API, handling events, method calls, and field access. Learners write a C++14 service interface, define ARXML, generate proxies/skeletons, and manage service lifecycle.
Chapter 7HideHide detailsSee detailsOver-the-Air Updates and Cybersecurity
Over-the-Air Updates and Cybersecurity
Lesson 1 • Intrusion Detection and SecOC
Implements SecOC message authentication with cryptographic MACs and adds IDPS monitoring on CAN/Ethernet. Learners apply SecOC to a CAN signal from Chapter 2, configure freshness counters, and log suspicious activity.
Lesson 2 • Automotive Threat Modelling
Applies TARA to identify attack surfaces, threat agents, and vulnerable assets, deriving cybersecurity goals and mitigations. Links directly to HARA from Chapter 5, aligning safety and security.
Lesson 3 • Vulnerability Management and Patching
Covers vulnerability management: tracking CVEs, generating SBOMs for traceability, and deploying patches via OTA updates. Completes the security lifecycle from threat modelling to remediation.
Lesson 4 • OTA Update Architecture
Covers campaign management, update agent design, and rollback strategies. Connects flash programming from Chapter 4 to cloud-driven update flows.
Lesson 5 • Secure Boot and Code Signing
Implements hardware root of trust, certificate chains, and signature verification at boot. Learners configure a secure boot sequence on a target ECU.
Chapter 8HideHide detailsSee detailsADAS and Autonomous Driving Software
ADAS and Autonomous Driving Software
Lesson 1 • Sensor Technologies and Interfaces
Surveys camera, radar, LiDAR, and ultrasonic sensors with their data interfaces. Establishes sensor input foundation for all subsequent ADAS topics.
Lesson 2 • ADAS Safety and Validation
Applies SOTIF analysis, scenario-based testing, and simulation validation for ADAS. Extends ISO 26262 safety skills from Chapter 5 to perception systems.
Lesson 3 • Path Planning and Decision Making
Implements trajectory generation, behaviour planning, and scene prediction algorithms. Connects fused object list to vehicle motion commands.
Lesson 4 • Perception and Object Detection
Implements image processing pipelines and neural network inference for object detection. Connects sensor data from previous section to scene understanding.
Lesson 5 • Sensor Fusion Algorithms
Applies Kalman filter and track management for multi-sensor object fusion. Learners fuse radar and camera tracks into a unified object list.

Your valid completion certificate
This course is for you:
Embedded software engineers wanting to specialise in the automotive domain.
Recent ECE or CS graduates targeting Tier 1 or OEM software roles.
Automotive hardware engineers ready to cross over into software development.
Career changers from aerospace or industrial embedded fields entering automotive.
Junior automotive developers lacking formal training in AUTOSAR or safety standards.
Hobbyists with electronics backgrounds who are serious about breaking into professional automotive software.
What our students say
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