Start with the right foundation.
- Cloud and platform engineers
- Developers responsible for delivery pipelines
- Operations engineers adopting infrastructure as code
- Security engineers embedding controls into delivery
AWS DELIVERY ENGINEERING PATH
AWS DevOps and DevSecOps Engineering
Build secure, observable AWS delivery systems with CI/CD, infrastructure as code, policy checks, progressive deployment and operational feedback.
Move beyond a pipeline diagram and learn how a change travels safely from commit to production. The program connects delivery flow, reproducible infrastructure, security controls, observability, incident learning and measurable improvement.
Recommended prerequisites.
- AWS foundational services and IAM
- Basic Git and command-line use
- Ability to read YAML or JSON configuration
ROLE-BASED OUTCOMES
Learn to make and defend real implementation decisions.
The goal is not to memorize product menus. Each outcome connects architecture, implementation and operational evidence.
Design repeatable multi-environment delivery workflows
Build and test infrastructure as code before deployment
Embed identity, dependency and configuration checks without blocking all delivery
Use deployment and reliability signals to improve lead time and recovery
Tools and platformsAWS CodePipelineAWS CodeBuildAWS CodeDeployCloudFormationIAMCloudWatchCloudTrailSystems Manager
DETAILED SYLLABUS
One connected path from concepts to production evidence.
Every module includes a practical deliverable so you can explain what you built, why you chose it and how you verified it.
Delivery flow and source control
Map how work, code, artifacts and approvals move through a traceable delivery system.
- Trunk and branch choices
- Artifact immutability
- Environment promotion
- DORA-style signals
Hands-on lab
Design a commit-to-production value stream and identify its highest-risk handoffs.
Continuous integration
Build the same tested artifact from controlled inputs and retain evidence for every release.
- Buildspec design
- Unit and integration gates
- Artifact repositories
- Supply-chain metadata
Hands-on lab
Create a CodeBuild pipeline that tests, scans and publishes a versioned artifact.
Infrastructure as code
Manage reproducible infrastructure changes through review rather than console drift.
- CloudFormation structure
- Change sets
- Policy validation
- Drift detection
Hands-on lab
Deploy a network and service stack through a reviewed change set, then detect intentional drift.
DevSecOps controls
Place security checks at the stage where they provide fast, actionable feedback.
- Least-privilege roles
- Secrets handling
- Dependency and image scanning
- Policy as code
Hands-on lab
Create a threat-informed control map and implement two preventive and two detective pipeline controls.
Deployment safety
Reduce blast radius with progressive releases, automated verification and recoverable changes.
- Blue/green and canary
- Feature controls
- Database change risk
- Rollback versus roll-forward
Hands-on lab
Run a canary deployment with health alarms and exercise both rollback and safe promotion.
Observability and continuous improvement
Connect logs, metrics, traces and deployment data to operational decisions.
- CloudWatch signals
- CloudTrail evidence
- Incident response
- Pipeline performance
Hands-on lab
Build a release dashboard and conduct a blameless review of a failed deployment.
CAPSTONE WORK
Projects designed for explanation, review and improvement.
A useful portfolio shows decisions and evidence, not screenshots alone.
Secure application delivery
Deliver a containerized service through tested infrastructure and progressive deployment.
Evidence to retain- Pipeline architecture
- Security gates
- Release dashboard
- Rollback exercise
Reusable infrastructure module
Create a reviewed CloudFormation building block with validation and drift controls.
Evidence to retain- Template
- Change-set review
- Policy tests
- Operations guide
Delivery improvement assessment
Measure an existing workflow and design a prioritized improvement backlog.
Evidence to retain- Value-stream map
- Baseline metrics
- Risk register
- 90-day plan
CONTINUE WITH PRIMARY SOURCES
Use current official documentation alongside guided practice.
Technology changes. These primary references help you verify current features and continue learning after the course. ITCertPath is an independent training brand and is not endorsed by the listed vendors.
COURSE QUESTIONS
What to confirm before you enrol.
Ask for a written syllabus, delivery plan, trainer profile, lab arrangement, fee breakdown and cancellation terms.
Is this only for AWS DevOps Engineer Professional exam preparation?
No. It is practical delivery-engineering training. It supports many skills relevant to AWS DevOps work, but exam candidates must compare the current DOP-C02 study guide with the course outline and close any remaining objective gaps.
Does DevSecOps mean adding one security scan?
No. Effective DevSecOps assigns controls across design, code, build, deployment and operations. The course uses threat and risk context to decide where preventive and detective controls belong.
Will I learn rollback?
Yes, along with the conditions where roll-forward is safer. The practical work uses health evidence, blast-radius control and rehearsed recovery rather than assuming every change can be reversed instantly.
PLAN YOUR NEXT SKILL
Discuss AWS DevOps training with an advisor.
Tell us your experience, target role, time zone and preferred learning format. We will share the current options without promising a batch that has not been confirmed.