Postgraduate Diploma in DevOps for SDV: CI/CD/CV, Feature Flags and Observability
Online 800-hour Postgraduate Diploma in DevOps for SDV: CI/CD/CV, Feature Flags and Observability. 8 modules covering UNECE R156, UNECE R155 and GitLab CI. Assigned tutor and open enrolment.
Postgraduate Diploma in DevOps for SDV: CI/CD/CV, Feature Flags and Observability — studying from Singapore
Singapore is a leading testbed for autonomous vehicles, with public road trials of driverless shuttles and robotaxis in districts such as one-north and Punggol. The Land Transport Authority coordinates the regulatory framework for autonomous mobility, while the Centre for Advanced Robotics at Nanyang Technological University and the Singapore Autonomous Vehicle initiatives drive research. Engineers work on perception, sensor fusion, vehicle software and simulation. Employers include automotive tier-one suppliers, technology firms and research institutes active across the region.
Fees for Singapore: S$2,560 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Which Singapore authorities govern autonomous vehicle testing, and does SEIUM's qualification help with that?
Singapore's autonomous vehicle trials are regulated by the Land Transport Authority (LTA), which issues approvals for testing on public roads. Engineers may also register with the Professional Engineers Board (PEB). SEIUM's qualifications are private qualifications, not state degrees, and not accredited by any national body. Whether they are recognised for these roles is for employers and the relevant authorities to decide.
Which Singapore employers hire for ADAS and software-defined vehicle work?
Opportunities exist with autonomous vehicle trial operators, mobility companies, automotive electronics suppliers, and software and systems firms serving the vehicle industry. Singapore's smart mobility push supports these roles. Employers generally value demonstrable software skills, such as projects in embedded code, simulation or safety validation. Your final project can show this, but hiring decisions rest with each employer.
Is this workable part-time from Singapore, and can it be funded by an employer?
Yes, the programme is 100% online and taught in English, so you can study from home in Singapore without any student visa. Expect a heavy load: a master's is 1,900 hours, a postgraduate diploma 800 hours and a specialist course 300 hours. Fees are payable in instalments, and employer sponsorship is possible, though approval depends on your company's training policy.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand the architecture and lifecycle of the software-defined vehicle.
Build continuous integration pipelines for embedded software.
Implement continuous delivery and validation with quality gates.
Manage feature flags safely and in compliance.
Design the observability of embedded services.
Integrate compliance requirements into the DevOps platform.
Plan the DevOps transformation of an automotive organisation.
Who it's for
- Automotive DevOps engineer who wants to specialise in DevOps for SDV: CI/CD/CV, Feature Flags and Observability.
- Software platform engineer who wants to specialise in DevOps for SDV: CI/CD/CV, Feature Flags and Observability.
- Continuous integration engineer who wants to specialise in DevOps for SDV: CI/CD/CV, Feature Flags and Observability.
- Software release manager who wants to specialise in DevOps for SDV: CI/CD/CV, Feature Flags and Observability.
- Observability engineer who wants to specialise in DevOps for SDV: CI/CD/CV, Feature Flags and Observability.
- SDV software architect who wants to specialise in DevOps for SDV: CI/CD/CV, Feature Flags and Observability.
- Graduates in engineering or science looking to join car manufacturers.
What you'll work with
- UNECE R156
- UNECE R155
- ISO 26262:2018
- ISO 24089:2023
- ISO/SAE 21434:2021
- Automotive SPICE 4.0
- AUTOSAR Adaptive Platform
- ISO/IEC/IEEE 12207
8 modules · 800 h
1.1Evolution of the E/E architecture towards central computing1.2Decoupling of hardware and software1.3AUTOSAR Adaptive and SOA middleware1.4Embedded operating systems and virtualisation1.5Software lifecycle after sale1.6DevOps culture in the automotive industry1.7Functional safety constraints and type approval1.8Function-based business models1.9DORA metrics applied to the vehicle1.10Case study: value stream map of an SDV function
2.1Code management with Git and monorepos2.2Cross-compilation and toolchains2.3Reproducible builds with Bazel and Yocto2.4Static analysis and MISRA in the pipeline2.5Automated unit testing and coverage2.6Containers for build environments2.7Dependency management and SBOM2.8Signed artefacts and repositories2.9Pipeline times and optimisation2.10Laboratory: CI pipeline in GitLab for an AUTOSAR component
3.1Differences between CI, CD and continuous validation (CV)3.2Automated testing in SIL and virtual ECUs3.3HIL testing integrated into the pipeline3.4Testing on the development fleet3.5Quality gates and promotion criteria3.6Automated evidence for ISO 262623.7Integration with R156 update management3.8Software release and RXSWIN3.9Delivery flow metrics3.10Practice: automatic promotion of a release with quality gates
4.1Concept of feature flags4.2Remote and configuration-based activation4.3Dark launches and shadow testing4.4Variant management and ECU coding4.5Flags and functional safety4.6Type-approval implications of activating functions4.7Technical debt and flag clean-up4.8On-demand features and subscriptions4.9Auditing configuration changes4.10Workshop: flag strategy for a comfort function
5.1Logs, metrics and traces5.2OpenTelemetry in embedded systems5.3Distributed tracing across SOME/IP services5.4Data logging with limited bandwidth5.5Aggregation in the cloud backend5.6Dashboards with Prometheus and Grafana5.7Anomaly detection in metrics5.8Telemetry privacy5.9Use of observability in defect analysis5.10Laboratory: OpenTelemetry traces of AUTOSAR Adaptive services
6.1Internal engineering platform6.2Infrastructure as code for test farms6.3Kubernetes for simulation workloads6.4Software supply chain security6.5Secrets and signing management6.6Automotive SPICE in agile environments6.7UNECE R155 and R156 requirements in the pipeline6.8Requirement-code-test traceability6.9Audits of the pipeline6.10Case study: compliance assessment of a pipeline
7.1Value stream and platform teams7.2Distributed development with suppliers7.3Branch management and release cadence7.4Vehicle release planning7.5Incident management and postmortems7.6Quality and safety culture7.7DevOps maturity metrics7.8Transformation roadmaps7.9Cost and return on investment7.10Practice: DevOps transformation plan for a manufacturer
8.1Selection of the study function8.2CI pipeline design8.3Continuous validation strategy8.4Feature flag design8.5Observability architecture8.6Compliance controls8.7Delivery metrics8.8Implementation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training is 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is GitLab CI, Jenkins, Kubernetes, OpenTelemetry, Grafana, in free, academic or evaluation versions. Case studies are based on real procedures from continuous integration pipelines, including SIL testing, release promotion with quality gates and telemetry monitoring of development fleets. Assessment is continuous, module by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand the architecture and lifecycle of the software-defined vehicle.
Build continuous integration pipelines for embedded software.
Implement continuous delivery and validation with quality gates.
Manage feature flags safely and in compliance.
Design the observability of embedded services.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical regulatory texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme consists of 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You will work with GitLab CI, Jenkins, Kubernetes, OpenTelemetry, Grafana. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when you enrol.
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