Introduction
DevOps today is not only “tools.” It is a working style that helps teams deliver software faster, safer, and with fewer surprises in production. For working engineers and managers, the biggest challenge is that DevOps touches many areas at once—code, pipelines, infrastructure, security, and monitoring.
The DevOps Certified Professional (DCP) program is built to cover that full journey in a practical way, with hands-on learning and real workflows that match how modern teams work.
About the Certification
- Certification Name: DevOps Certified Professional (DCP)
- Official URL: DevOps Certified Professional (DCP)
- Provider: DevOpsSchool
DCP is positioned as a hands-on DevOps training cum certification program that covers end-to-end DevOps practices, and also connects modern ideas like SRE, GitOps, IaC, cloud-native deployment, and observability.
Why DCP Matters for Working Engineers and Managers
If you are working in delivery teams, you already know the real problem: releases get delayed, environments drift, incidents repeat, and teams blame each other. DCP focuses on building the full delivery system—not just one tool—so that you can run reliable releases repeatedly.
DCP also highlights benefits like credibility for recruiters and the practical value of certification in hiring and salary discussions (while noting salary depends on multiple factors).
What You Actually Learn in DCP
DCP mentions coverage of modern, widely used tooling across Linux, cloud, containers, CI/CD, IaC, GitOps, monitoring, logging, tracing, and observability stacks (examples include Docker, Kubernetes, Terraform, ArgoCD, Prometheus, Grafana, Loki, OpenTelemetry, etc.).
The intent is simple: you should be able to build and run a production-grade delivery pipeline, plus the supporting infrastructure and monitoring that real companies expect.
Certification Ecosystem Table (Tracks, Levels, Order)
Below is a practical “program table” that aligns with the core tracks you asked for (DevOps, DevSecOps, SRE, AIOps/MLOps, DataOps, FinOps). The DevOpsSchool certification catalog includes these track-aligned programs (DCP, MDE, DSOCP, SRECP, MLOCP, AIOCP, DOCP, and FinOps Foundation Certification).
Note on links: As requested, I am only using the two provided official links. So the “Link” column uses the DCP official page where relevant, and the provider link for others.
| Track | Level | Who it’s for | Prerequisites | Skills covered | Recommended order |
|---|---|---|---|---|---|
| DevOps | Professional | Engineers, leads, managers who want end-to-end DevOps execution | Basic Linux + Git + scripting helps | CI/CD, automation, containers, IaC basics, monitoring | 1 |
| DevOps | Advanced/Master | People who want deeper, wider tool coverage after DCP | DCP-level comfort | Advanced DevOps engineering + real projects | 2 |
| DevSecOps | Professional | DevOps engineers + security engineers building secure pipelines | DCP-level CI/CD knowledge | Security in CI/CD, scanning, secure delivery | After DCP or parallel |
| SRE | Professional | Ops/SRE/Platform engineers responsible for reliability | Linux + monitoring basics | Reliability, observability, incident response | After DCP |
| AIOps/MLOps | Professional | Engineers who support ML workloads or apply AI to Ops | Python basics helps | MLOps pipelines, automation intelligence | After DCP (or after SRE) |
| DataOps | Professional | Data engineers + platform teams supporting analytics | SQL/data basics helps | Data pipelines, quality, automation, governance | After DCP (or parallel) |
| FinOps | Foundation | Engineers/managers owning cloud cost and accountability | Cloud basics helps | Cloud cost visibility, optimization, governance | After DCP (leadership move) |
DCP Mini-Sections (Keep This Structure Consistent)
What it is
DCP is a practical DevOps training and certification program designed to make you job-ready with real workflows across CI/CD, automation, cloud-native deployment, and observability. It is positioned as a structured, instructor-led option with hands-on execution.
Who should take it
- Working software engineers who want to own delivery from code to production
- DevOps/Build & Release engineers who want stronger CI/CD + automation depth
- Platform and cloud engineers who want reliable infrastructure delivery
- Team leads and engineering managers who need a clear DevOps operating model
- SRE or Ops engineers shifting from “manual ops” to “automation + reliability”
Skills you’ll gain
- Build CI pipelines that compile, test, and package reliably
- Set up CD pipelines with approvals, rollbacks, and safe releases
- Automate infrastructure changes using IaC-style thinking
- Use containers and orchestration fundamentals for modern deployments
- Implement monitoring, logging, and tracing basics for faster debugging
- Apply Git-based workflows that reduce human error and drift
Real-world projects you should be able to do after it
- Build a working CI/CD pipeline from commit → build → test → deploy
- Create environment automation so staging and production stay consistent
- Containerize an application and deploy it with a repeatable process
- Add alerts + dashboards that catch failures before customers do
- Create a basic incident workflow (triage, rollback, root-cause notes)
- Build a “release checklist” that teams can follow every time
Preparation plan (7–14 days / 30 days / 60 days)
7–14 days plan (fast-track, if you already work in DevOps)
- Days 1–2: Refresh Linux, Git, branching, basic scripting
- Days 3–5: CI fundamentals (build/test/package), artifacts, pipeline concepts
- Days 6–8: CD basics (deploy strategies, approvals, rollback mindset)
- Days 9–10: Containers + deployment basics
- Days 11–12: Monitoring/logging/tracing basics and dashboards
- Days 13–14: One full “end-to-end mini project” (commit → production-like deploy)
30 days plan (most working engineers)
- Week 1: DevOps foundations + Git workflow + Linux + scripting habits
- Week 2: CI/CD pipeline building + artifacts + quality gates
- Week 3: IaC mindset + container deployment + environment consistency
- Week 4: Observability + incident handling + final end-to-end project polish
60 days plan (career switchers or managers who want depth)
- Weeks 1–2: Strong foundation (Linux, Git, networking basics, scripting)
- Weeks 3–4: CI/CD mastery with repeatable templates and team-ready standards
- Weeks 5–6: IaC + containers + orchestration fundamentals + release patterns
- Weeks 7–8: Observability + reliability practices + production readiness
- Final: Build a portfolio project and document your architecture decisions
Common mistakes
- Learning tools without understanding the full delivery flow
- Building pipelines that work once, but fail in real team use
- Ignoring rollback, approvals, and release safety in CD
- Treating monitoring as “after deployment” instead of “part of design”
- Over-automating too early without fixing the process basics
- Skipping hands-on work and relying only on videos/notes
Best next certification after this
A strong next step after DCP is to either:
- go deeper into advanced DevOps execution, or
- specialize into reliability (SRE) or security (DevSecOps), depending on your job.
The DCP page itself highlights other related certification courses like (MDE) Master in DevOps Engineering, (SRE) Site Reliability Engineering, and (DSOCP) DevSecOps Certified Professional as “other certification courses.”
Choose Your Path (6 Learning Paths)
1) DevOps Path (Delivery Ownership)
Best for engineers who want to own CI/CD + automation end-to-end.
- Start with DCP
- Then deepen into broader DevOps engineering (advanced program)
- Focus: delivery speed + consistency + quality
2) DevSecOps Path (Secure-by-Default Delivery)
Best for DevOps engineers and security engineers.
- Start with DCP
- Add DevSecOps specialization
- Focus: shift-left security + secure pipelines
3) SRE Path (Reliability and Production Excellence)
Best for SREs, platform engineers, and ops teams.
- Start with DCP
- Move into SRE specialization
- Focus: SLOs, observability, incident practices
4) AIOps/MLOps Path (Intelligent Operations + ML Delivery)
Best for teams supporting ML systems or applying AI to ops noise reduction.
- Start with DCP
- Add MLOps + AIOps track learning
- Focus: automation at scale + ML lifecycle operations
5) DataOps Path (Reliable Data Pipelines)
Best for data engineers and data platform teams.
- Start with DCP (to learn delivery discipline)
- Add DataOps professional track
- Focus: data quality, pipeline automation, governance
6) FinOps Path (Cloud Cost + Accountability)
Best for managers, platform owners, and cloud teams who control spend.
- Start with DCP (to understand the engineering levers)
- Add FinOps Foundation certification learning
- Focus: cost visibility, optimization, governance
Role → Recommended Certifications Mapping
| Role | Recommended certifications (practical sequence) |
|---|---|
| DevOps Engineer | DCP → advanced DevOps engineering → (optional) DevSecOps |
| SRE | DCP → SRE specialization → Observability-focused depth |
| Platform Engineer | DCP → SRE specialization → (optional) FinOps Foundation |
| Cloud Engineer | DCP → cloud-focused depth → (optional) FinOps Foundation |
| Security Engineer | DCP → DevSecOps specialization |
| Data Engineer | DCP → DataOps professional track |
| FinOps Practitioner | DCP (foundation) → FinOps Foundation |
| Engineering Manager | DCP (understand delivery system) → FinOps Foundation (business view) → leadership-style DevOps governance |
The “catalog” of track-aligned certifications (DevOps, SRE, DevSecOps, MLOps, AIOps, DataOps, FinOps Foundation) is listed in the DevOpsSchool certification offerings.
Next Certifications to Take (3 Options)
Option A: Same track (deeper DevOps)
If you want to become the person who can design and run the full platform, go deeper after DCP with an advanced DevOps engineering path (master-level depth). The DevOpsSchool catalog lists advanced programs like MDE alongside DCP.
Option B: Cross-track (specialize for demand)
Pick one:
- SRE if your world is uptime, incidents, and reliability
- DevSecOps if your world is security, compliance, and secure delivery
Both appear as related/other certification courses connected with DCP.
Option C: Leadership (business + governance)
If you lead teams or budgets, move toward FinOps Foundation so you can connect engineering decisions with cost outcomes and governance. FinOps Foundation certification is listed in the certification catalog.
Training cum Certification Institutions (Top Options)
If you want structured guidance, you can take help from these training + certification support institutions that focus on DevOps and adjacent tracks. In practice, they act like an ecosystem—DevOps + security + reliability + AI/data + cloud cost—so learners can choose a career path and still stay connected. Many professionals use these institutions to keep learning even after one certification is done.
- DevOpsSchool: A training and certification provider focused on DevOps and related tracks (like SRE/DevSecOps, etc.), offering industry-recognized programs and courses.
- Cotocus: A technology company (established in 2016, Bengaluru) providing digital products and IT services/consulting; it lists products that include DevOpsSchool and other platforms.
- scmGalaxy: A community and training ecosystem (founded 2008) focused on SCM, build/release, and DevOps learning—sharing, training, and certifications.
- BestDevOps: A learning and content-driven DevOps platform/community (“Let’s Learn, Do it & Share!”) offering resources like tutorials, courses, certifications, and support content.
- DevSecOpsSchool: A DevSecOps-focused education and training site that provides DevSecOps certification training and courses, aiming to set standards for DevSecOps education.
- SRESchool: An SRE-focused training and certification institute that teaches Site Reliability Engineering concepts and role-based programs (engineer/professional/architect/manager).
- AIOpsSchool: An education platform focused on AIOps and MLOps—AI-powered IT operations—offering certifications and learning paths around automation, observability, and ML operations.
- DataOpsSchool: A DataOps-focused platform that offers training/certifications/consulting/services to help teams build modern data platforms with speed, quality, and reliability.
- FinOpsSchool: A FinOps-focused education and training site offering FinOps certification training and courses for cloud financial management and cost accountability.
FAQs
1) Is DCP difficult?
It is usually moderate for working engineers, because it mixes concepts with hands-on execution. If you practice end-to-end pipelines, it becomes manageable.
2) How long does it take to prepare?
Common preparation windows are 7–14 days, 30 days, or 60 days, depending on your starting point and time available.
3) Do I need coding skills?
Basic scripting helps (Shell/Python style). But more important is the ability to automate repetitive tasks and follow structured workflow.
4) Do I need cloud experience?
Cloud familiarity helps, but the key skills are: CI/CD thinking, automation, containers, and observability. You can build a strong base and then expand into cloud depth.
5) What should I learn first before starting DCP?
Linux basics, Git basics, and a simple scripting habit. These make every DevOps tool easier to understand.
6) What is the right sequence after DCP?
Typical sequence: DCP → (SRE or DevSecOps) → (FinOps or AIOps/MLOps or DataOps) based on your role and company needs.
7) Does DCP help in job switch or promotion?
Yes, if you can demonstrate real projects: pipeline build, deployment automation, dashboards/alerts, and production readiness. Hiring teams trust proof more than theory.
8) What career outcomes can I expect?
Common outcomes: DevOps Engineer, Platform Engineer, Release Engineer, SRE-in-transition roles, and for managers—better control over delivery quality and predictability.
9) Is DCP only for engineers?
No. Managers benefit because they can understand delivery constraints, measure the right metrics, and remove process blockers without guessing.
10) What if I don’t have much time weekly?
Use the 60-day plan. Even 45–60 minutes/day with a weekend project can build confidence.
11) What matters more: exam or projects?
Projects matter more for real hiring. The certification validates learning, but your pipeline + automation demo is what closes interviews.
12) What makes DCP valuable compared to random tool videos?
The value is the structured, end-to-end approach and hands-on workflow focus, instead of fragmented tool learning.
FAQs
Q1) Does DCP include hands-on work?
Yes, it is positioned as hands-on and project/workflow driven, not only theory.
Q2) Is there a live learning option?
The DCP page lists modes including self-learning (lifetime access) and live interactive online batches, with stated duration and pricing options.
Q3) How long is the program duration?
It lists ~60 hours as the approximate duration for the program.
Q4) Will I get a certificate?
The page states participants receive a DevOps Certified Professional (DCP) certificate after completion and evaluation.
Q5) Can I do DCP while working full-time?
Yes. The practical way is: steady weekly practice + one end-to-end project in the final weeks.
Q6) What is the biggest mistake DCP learners make?
Not doing an end-to-end project. If you only “watch and read,” your confidence stays low.
Q7) What should I do right after finishing DCP?
Pick your path: DevSecOps (security), SRE (reliability), or FinOps (leadership/cost). The DCP page itself points to related certification courses.
Q8) How do I explain DCP value in interviews?
Say it like this: “I can build a repeatable delivery system—pipeline, deployment automation, monitoring, and rollback—so releases become predictable.”
Conclusion
If your goal is to become the person who can deliver software reliably, DCP is a strong, practical starting point. Treat it like a job skill program, not a theory course: focus on building one complete pipeline and one production-style deployment flow, with monitoring and rollback thinking.
Once you finish DCP, don’t stop—choose a path that matches your work: DevSecOps for secure delivery, SRE for reliability, AIOps/MLOps for intelligent operations, DataOps for data pipeline quality, or FinOps for cloud cost leadership. The fastest careers are built by people who can connect delivery, reliability, security, and business outcomes into one working system.