Openpolicyagent Advanced Training
Engineer fast, extensible and highly available OPA deployments and run policy as a governed, audited platform. Learn Openpolicyagent through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Openpolicyagent levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Openpolicyagent Advanced Training.
Understand where Openpolicyagent fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Openpolicyagent is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Openpolicyagent program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Openpolicyagent training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Openpolicyagent training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Openpolicyagent usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Openpolicyagent Advanced Training | Private team batch |
What learners should be able to do after Openpolicyagent training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Master the Rego language
Write, test and debug Rego policies for real authorization and compliance rules.
Integrate OPA everywhere
Connect OPA to applications, gateways, service meshes, Kubernetes and pipelines.
Operate policy as platform
Run OPA with signed bundles, monitoring, high availability and governed change.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Openpolicyagent responsibilities before reviewing the detailed agenda.
Why Openpolicyagent matters
- Openpolicyagent helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Openpolicyagent becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Openpolicyagent effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Openpolicyagent concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Openpolicyagent in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Openpolicyagent for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Openpolicyagent usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Openpolicyagent.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: OPA concepts, CLI and Rego essentialsDay 1
- Authorization challenges: hard-coded rules, inconsistent checks and audit gaps that OPA addresses
- OPA decision flow: services send JSON input, OPA evaluates policy plus data and returns a decision
- Deployment models: sidecar, host daemon, Go library and Wasm, with latency trade-offs
- Installation: opa binary, Homebrew, the openpolicyagent/opa container image and opa version
- The opa CLI: run, eval, test, fmt, check, build, inspect and bench subcommands
- Rego syntax in OPA 1.x: package, import, default, if, contains and else
- Rule types: complete rules, partial set and object rules and functions
- Working with JSON: arrays, objects, sets, references and walking nested input
- Iteration and quantifiers: some ... in, every and comprehensions over collections
- Interactive learning: the opa run REPL, Rego Playground and editor tooling
- First decisions: role-based access control with users, roles and permissions held in data.json
Essential Level = Foundation + Rego patterns, testing and policy as a serviceDay 2 · 2 days cumulative
- RBAC and ABAC patterns: role bindings plus attribute checks on owner, department and time of day
- JWT handling: io.jwt.decode, io.jwt.decode_verify with JWKS keys and claims-based decisions
- Testing policies: test rules, fixture data, with overrides and opa test -v
- Formatting and linting: opa fmt, opa check and Regal in editors and CI
- OPA REST API: POST /v1/data queries, the policy API, health endpoint and configuration file basics
- Application integration: calling OPA from Python, Java or Node.js services and caching decisions
- Rich decisions: returning allow, reasons and obligations objects instead of plain booleans
- Loading policy and data: files, directories, HTTP bundles and data refresh strategies
- Version control workflow: policy repositories, code review and semantic versioning of policy packages
- Infrastructure checks with Conftest: Terraform plans, Kubernetes manifests and Dockerfiles in CI
- Debugging decisions: --explain notes, print statements and tracing
Intermediate Level = Essential + bundles, integrations, monitoring and securityDay 3 · 3 days cumulative
- Bundle service: building bundles, manifest revisions, delta bundles, polling and long polling
- Bundle signing: keys configuration, signatures.json and rejecting unsigned bundles
- Decision logs: configuration, masking and drop rules and delivery to an HTTP collector
- Status and monitoring: Prometheus metrics endpoint, health checks with bundle and plugin status
- Envoy and Istio authorization: ext_authz over gRPC with opa-envoy-plugin, path and method checks
- Kubernetes admission: kube-mgmt compared with Gatekeeper and replicating cluster data into OPA
- API gateway integration: Kong and Envoy-based gateways delegating authorization to OPA
- Data filtering basics: partial evaluation through the Compile API to build SQL WHERE clauses
- External data: http.send with caching and timeouts, and pushing data through the Data API
- CI/CD policy gates: pipeline approval rules, Terraform tag and cost policies
- Securing OPA: TLS, token authentication and a system.authz policy for OPA's own API
- Troubleshooting: conflicting complete rules, undefined versus false results and evaluation errors
Advanced Level = Intermediate + performance, extensibility, scale and governanceDays 4-5 · 5 days cumulative
- Performance engineering: opa bench, profiling, indexing-friendly rules and memory considerations
- Large data sets: partitioning data per service, bundle size and load time tuning
- Extending OPA: custom built-ins and plugins in Go and building a custom OPA distribution
- Wasm targets: compiling to Wasm, SDKs for Node.js and Go, and capability limits
- High availability: OPA close to services, persisted bundles for offline start and fail-closed defaults
- Central bundle distribution: bundle servers on S3, Google Cloud Storage, Azure Blob or OCI registries
- Policy governance: ownership, change approvals, staged rollout and audit trails from decision logs
- Compliance as code: mapping CIS, NIST 800-53 and PCI DSS controls to Rego rules and reports
- Multi-tenant and multi-environment design: namespacing, overrides and exception handling
- Upgrades: moving from Rego v0 to v1 and pinning behaviour with capabilities files
- Alternatives and complements: Cedar, Kyverno and CEL-based policies, and when OPA fits best
- Capstone: a centrally managed authorization service for microservices with signed bundles, logs and SLOs
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Openpolicyagent levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Model RBAC in Rego
Load users, roles and permissions as data and write a Rego policy that answers who can perform which action on which resource.
Run OPA as an authorization service
Run OPA as a server, have a small REST API call it for JWT-based ABAC decisions and cover the policy with unit tests.
Authorize traffic through Envoy
Serve signed bundles to OPA sidecars next to Envoy, authorize requests by path, method and JWT claims and export decision logs and metrics.
Design a central authorization platform
Build a bundle pipeline with tests, signing and staged rollout, benchmark the policies and prove fail-closed behaviour during an outage.
Openpolicyagent is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Openpolicyagent with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Openpolicyagent certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Openpolicyagent level.
Certificate verificationCertificate of Completion
Openpolicyagent Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Openpolicyagent path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Openpolicyagent Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Openpolicyagent level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Openpolicyagent practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Openpolicyagent workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Openpolicyagent Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.