Adaptive AUTOSAR: From Zero to Hands-On Expertise

Build, configure, and deploy Adaptive AUTOSAR applications using real-world examples (R25-11)

What you’ll learn
✓ Understanding of main components of Adaptive Autosar like COM, PM, PHM, & SM etc.
✓ Overview of Service Oriented Architecture (SOA)
✓ Understanding Manifests – all five types (Machine, Execution, Service Instance, Raw Data Stream, Software Distribution) – creation, validation, deployment
✓ Understanding of the overall workflow for developing, testing, and delivering an Adaptive Autosar application
✓ Final Hands-On Capstone Project shows the complete workflow from ARXML service modeling to running provider/consumer applications.

Requirements
● Basic C++ knowledge

Description
This course is fully aligned with the latest Adaptive Autosar Release.

You will go from no prior Adaptive AUTOSAR knowledge to confidently designing, implementing, deploying, debugging, and updating real Adaptive applications using industry-relevant tools and workflows.

The course is designed to reflect how Adaptive AUTOSAR is actually used in OEM and Tier-1 environments, with a strong emphasis on hands-on development rather than theory alone.

Why This Course Stands Out

• Fully updated for Adaptive AUTOSAR R25-11

• End-to-end, hands-on learning with a complete capstone project

• Clear learning progression from fundamentals to advanced topics

• Uses real tools and open-source simulators, no expensive licenses required

What You Will Learn

Adaptive AUTOSAR Fundamentals

• Why Adaptive AUTOSAR was introduced

• Key differences compared to Classic AUTOSAR

• Problems solved by Adaptive architectures

Service-Oriented Architecture (SOA)

• Services, methods, events, and fields

• Service discovery and communication patterns

• SOA design principles for Adaptive systems

Communication Stack In-Depth

• Proxy and Skeleton concepts

• Futures and promises

• Intra-machine and inter-machine communication

• Practical design and performance considerations

Adaptive Platform Functional Clusters

• Execution Management

• State Management and application lifecycle

• Platform Health Management for supervision and recovery

• Persistency for local and remote persistency

• Diagnostics Manager including UDS and SOVD

• Update Configuration Manager for OTA packages and update campaigns

• Log cluster for logging and tracing

Manifests and Deployment

• Machine Manifest

• Execution Manifest

• Service Instance Manifest

• Raw Data Stream Manifest

• Software Distribution Manifest

• Creation, validation, and deployment workflows

Adaptive and Classic Integration

• Direct communication mode

• Signal-to-Service Translation (S2S)

• Gateway and integration strategies

Security and IAM

• Intents and Grants

• Least-privilege security concepts

• Secure service access design

Testing and Debugging

• A structured 7-step debugging approach

• Writing debuggable Adaptive applications

• Debugging with gdb and core dumps

• DLT log analysis and troubleshooting

Final Hands-On Capstone Project

The course concludes with a complete Adaptive AUTOSAR demonstration project showing the full model-driven development workflow

• ARXML service modeling

• Manifest creation and configuration

• Provider and consumer applications

• Deployment and execution

• Debugging and validation

This project reflects real industry workflows and provides a practical reference you can reuse in professional environments.

Who This Course Is For

• Software engineers new to Adaptive AUTOSAR

• Classic AUTOSAR engineers transitioning to Adaptive

• Automotive developers working with C++, Linux, and service-oriented systems

• Students and professionals preparing for automotive software roles

No prior Adaptive AUTOSAR knowledge is required.
Basic C++ and embedded systems experience is recommended.

What You Get

• Structured, easy-to-follow video lectures

• Real ARXML examples and code templates

• Manifest and configuration snippets

• Step-by-step capstone project

• Downloadable learning resources

• Lifetime access and future updates for new Adaptive AUTOSAR releases

Who this course is for
■ Beginners for Adaptive Autosar