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HashiCorp Trainer

Private corporate batches, live online cohorts and 1-on-1 mentoring in the integrated HashiCorp toolchain — Packer, Terraform, Vault, Consul and Nomad working as one workflow — taught by a practitioner who runs it in production.

20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank

DeliveryOnline · Onsite · Hybrid
FormatsCorporate · 1-on-1 · Cohort
AgendaCustomisable
Batch size8–30 engineers
Engineers we've trained work at
JPMorgan ChaseBank of AmericaWells FargoVerizonNokiaWorld BankGE HealthcareVMwareOracleQualcommMercedes-BenzAirbusDatadogSplunkDeloitteInfosysWiproCapgemini
# who teaches it

Your HashiCorp trainer

Rajesh Kumar

Principal DevOps Engineer & Architect

Cloud architectureMulti-cloud estatesInfrastructure at scale20 years in productionPrincipal / architect roles10,000+ engineers trainedM.Tech BITS Pilani25+ certifications

Rajesh teaches the HashiCorp products as one workflow rather than five courses — Packer producing the artefact Terraform provisions, Terraform state and remote backends with locking as the operational spine, Vault issuing dynamic credentials that expire instead of static secrets that leak, Consul carrying service identity and mesh intentions, and Nomad scheduling workloads that authenticate to Vault by workload identity. Sessions concentrate on the joins where real estates break: state locking and drift, Vault seal and unseal automation with recovery keys, Consul gossip and WAN federation, and the auth-method and policy design that decides whether a machine can read a secret at all. Policy as code and CI-driven promotion run through every module.

Twenty years across DevOps, SRE and Security, in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe and others. He has trained engineers at JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus — more than 10,000 people personally. He teaches what he runs, not what he reads.

One practitioner, not a bench

You are booked with a named engineer, and that is who turns up. Marketplaces and larger providers rotate whoever is free, so the person who sold you the agenda is rarely the person teaching it.

The same trainer is available for the next engagement, which matters when a team builds on what it learned last time.

18,000+certified learners
500+corporate batches delivered
50+countries served
100+certification programmes
# faculty

Who delivers HashiCorp engagements

Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.

How your HashiCorp trainer is chosen

Engagements are matched on the tool, not the calendar. For HashiCorp that means a trainer who has run it in production — the integrated HashiCorp toolchain — Packer, Terraform, Vault, Consul and Nomad working as one workflow — rather than whoever is free that week. You are told who is teaching before you commit, and that person is on the discovery call that shapes the agenda.

Where a batch is large enough to need a second trainer, the pairing is declared up front. The lead trainer stays accountable for the syllabus and the assessment either way.

Rajesh Kumar

Principal DevOps Engineer & Architect

India20 yrsLead trainer

Twenty years across DevOps, SRE and Security in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has trained more than 10,000 engineers personally, at organisations including JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus. He teaches what he runs, not what he reads.

Gaurav Aggarwal

IndiaInstructorCoach

Harsh Mehta

IndiaInstructorCoach

Kapil Gupta

IndiaInstructorCoach

Kunal Jain

IndiaInstructorCoach

Nikhil Gupta

IndiaInstructorCoach

Pranab Kumar

IndiaInstructorCoach

Rohit Ghatol

IndiaInstructorCoach

Amit Agarwal

IndiaInstructorCoach

Anil Kumar

IndiaInstructorCoach

Balachandran Anbalagan

IndiaInstructorCoach

Durga Prasad

IndiaInstructorCoach

# how to engage

Four ways to work with this trainer

Private corporate batch

Teams of 8–30

Custom agenda, your timezone, onsite or online, NDA-friendly.

Request a quote

1-on-1 mentoring

Individual engineers

A private instructor and a curriculum built around your goal.

₹99,999

Live & Interactive cohort

Individuals who want peers

Scheduled batch, max 8 to 10 hours of live instruction.

₹34,999

Self-paced video

Self-starters

Full LMS access — 20+ courses and 50+ tools included.

₹833/mo
# private batches

Private HashiCorp training for your team

A private batch starts with a discovery call. We look at the stack you actually run — the CI system, the cloud, the constraints — and map the agenda onto it, so examples use your topology rather than a generic one.

Delivery is onsite at your premises, live online, or hybrid, scheduled around your release calendar rather than ours. Batches run 8 to 30 engineers.

Every attendee leaves with recordings, slides, lab repositories and a completion certificate. You receive an attendance and assessment report. Invoicing supports PO and GST.

Talk to us about a private HashiCorp batch

What you provide vs what we bring

  • You: the room or the call, and the engineers
  • Us: trainer, agenda, labs, assessment, certificates
  • Labs: we guide your team through provisioning their own free-tier cloud environment — the skill goes with them
# the technology

What is HashiCorp?

HashiCorp produces a family of infrastructure tools that are usually learned one at a time but are designed to work as a single workflow. Packer builds immutable machine and container images from a versioned template. Terraform provisions infrastructure from declarative HCL and tracks it in state, consuming those images. Consul provides service discovery, health checking, a key-value store and a service mesh with mutual TLS between workloads. Vault issues and manages secrets — static, dynamic, and short-lived — along with PKI certificates, encryption as a service and identity-based access. Nomad schedules and runs workloads across the machines Terraform created.

The common thread is more than a shared configuration language. Every HashiCorp tool is built around the same model: declare intent in HCL, let the tool reconcile reality against it, and derive authority from identity rather than from network position. That is why the products compose so tightly — Nomad jobs fetch secrets from Vault using workload identity, Vault can use Consul for storage and Consul can use Vault as its certificate authority, Consul-Terraform-Sync reacts to service catalog changes by running Terraform, and Terraform provisions and configures all of them.

Learning HashiCorp tools in isolation produces engineers who can write a Terraform module but cannot explain where the database password comes from at run time, or who can unseal Vault but not automate it. The integrated view — image build to provisioning to secrets to discovery to scheduling, with policy as code across all of it — is what a platform team actually has to design.

Why this skill matters now

Terraform has become the default way infrastructure is described in most organisations, and Vault the default answer to the question of where secrets live once they are no longer in a file. That adoption has moved the hiring conversation past individual tools. Teams now advertise for platform engineers who can design the whole chain: how an image is built and hardened, how it is provisioned, how a workload proves who it is, how it obtains credentials that expire, and how services find each other.

Licensing has also forced the issue. The move from open source to the Business Source Licence, and the emergence of forks, means organisations must make deliberate decisions about which editions they run, what HCP-managed services are worth, and where the OpenTofu question applies. Those are architecture decisions that need someone who understands what the enterprise features actually do.

The recurring failure in real estates is at the joins, not inside the tools. State stored without locking, Vault deployed without a sealed-recovery plan, Consul mesh enabled without understanding intentions, Nomad running with hard-coded credentials — every one of those is a toolchain design problem rather than a product problem.

HashiCorp training
# outcomes

What your team can do afterwards

Design the full toolchain — image build, provisioning, secrets, discovery and scheduling — as one workflow
Operate Terraform at team scale: remote state with locking, module design, workspaces and CI-driven plan and apply
Build hardened, versioned images with Packer and consume them from Terraform automatically
Deploy and operate Vault: auth methods, policies, secrets engines, dynamic credentials, PKI and seal management
Run Consul for service discovery, health checking and a mutual-TLS service mesh with intentions
Schedule workloads on Nomad with job specifications integrated to Consul and Vault
Give workloads identity-based access to secrets instead of embedding credentials in configuration
Apply policy as code with Sentinel or OPA, and enforce it in a pipeline rather than in review comments
Make informed decisions about editions, HCP-managed services and licensing implications
# curriculum

8 modules. Live demos in a real lab, not slides.

01The HashiCorp model — HCL, workflow and how the pieces composeLive & Interactive5 hrs · 2 assignments · 1 capstone

Why these tools fit together and what they assume about your environment. HCL as a shared language, the declare-and-reconcile model, identity as the basis of authority, and a concrete reference architecture showing the path from image build through provisioning, secrets, discovery and scheduling.

Topics: HCL syntax, expressions, functions and blocks across products · The declare-and-reconcile model each tool implements · Identity-based security instead of network-based trust · Reference architecture: Packer to Terraform to Vault to Consul to Nomad · Where each product's responsibility begins and ends · Editions, HCP-managed services and licensing considerations · Setting up a local toolchain for the rest of the course

  • Assignments: (1) Draw the toolchain for a workload you actually run and mark the gaps; (2) Decide which products your estate needs and justify each exclusion
  • Capstone: Produce a toolchain architecture note for one real service, end to end
02Packer — immutable images as the first artefactLive & Interactive5 hrs · 2 assignments · 1 capstone

Where the chain starts. Packer templates in HCL, builders for cloud and container targets, provisioners that install and harden, post-processors and manifests, and the versioning discipline that lets Terraform reference an exact image rather than "latest".

Topics: HCL2 templates: sources, builds, variables and locals · Builders for AWS, Azure, GCP, Docker and virtualisation platforms · Provisioners: shell, file, Ansible and inline hardening · Post-processors, manifests and artefact metadata · Parallel builds across multiple targets from one template · Image versioning, tagging and lifecycle policy · Handing image identifiers to Terraform through data sources or a registry · Testing images before they are published

  • Assignments: (1) Build a hardened base image with a shell and Ansible provisioner; (2) Publish an image and consume its identifier from Terraform without hard-coding
  • Capstone: Deliver a golden-image pipeline that builds, tests, publishes and versions on commit
03Terraform — the provisioning spineLive & Interactive5 hrs · 2 assignments · 1 capstone

Terraform taught around state rather than syntax. The plan and apply lifecycle, providers and resource addressing, remote backends with locking, module design and versioning, workspaces and environment separation, and the lifecycle meta-arguments that decide in-place update versus destroy-and-recreate.

Topics: Declarative versus imperative, and where Terraform sits among the alternatives · CLI workflow: init, validate, plan, apply, show, destroy, console · Plan and apply lifecycle, the dependency graph and refresh behaviour · State: what the file holds, remote backends (S3, azurerm, GCS, Artifactory), locking, state surgery · Providers, the registry, required_providers, versions and upgrade strategy · Resources, resource behaviour and argument references · Meta-arguments: depends_on, count, for_each, provider, lifecycle · Input variables, output values and locals — types, precedence and scope · Data sources, HCL operators and the function library: string, collection, numeric, encoding, filesystem, date, crypto, IP network, type conversion · Provisioners: file, local-exec, remote-exec, and why they are a last resort · Templates, workspaces and environment separation · Modules: composition, versioning, registry consumption, custom modules and publishing · Tagging strategy, troubleshooting with TF_LOG, and reading common errors · HCP Terraform run workflows and multi-provider configurations in CI/CD · Drift detection, import and refactoring with moved blocks

  • Assignments: (1) Migrate a local-state project to a locked remote backend with no resource churn; (2) Refactor a monolithic configuration into versioned modules using moved blocks
  • Capstone: Build a CI-driven Terraform workflow with plan review, approval and audited apply
04Vault — secrets, dynamic credentials and PKILive & Interactive5 hrs · 2 assignments · 1 capstone

Vault as an operating system for secrets. Deployment and the seal model, auth methods that map real identities to policies, static and dynamic secrets engines, PKI for short-lived certificates, transit for encryption as a service, and the policy design that determines who can read what.

Topics: Architecture, storage backends, seal and unseal, auto-unseal · Initialisation, recovery keys and operational key custody · Auth methods: AppRole, Kubernetes, JWT/OIDC, cloud IAM, LDAP · Policies: path syntax, capabilities, templated policies and identity · Static secrets: KV v1 versus v2, versioning and metadata · Dynamic secrets: database, cloud and SSH engines with leases and TTLs · PKI engine, intermediate CAs and short-lived certificate issuance · Transit engine for encryption as a service and key rotation · Audit devices, lease management, revocation and namespaces · High availability, replication and disaster recovery posture

  • Assignments: (1) Replace a static database password with a dynamic credential that expires; (2) Design an AppRole and policy set giving three services least privilege
  • Capstone: Deliver a Vault deployment with auto-unseal, audit logging and a rehearsed recovery
05Consul — discovery, configuration and service meshLive & Interactive5 hrs · 2 assignments · 1 capstone

How services find each other and how traffic between them is secured. Agents, servers and the gossip protocol, the service catalog and health checks, DNS and API discovery interfaces, the key-value store, then Connect service mesh with sidecar proxies, intentions and mutual TLS.

Topics: Agents, servers, Raft consensus and the gossip protocol · Service registration, health checks and the catalog · Discovery via DNS and HTTP API, and prepared queries · Key-value store, sessions and consul-template · ACL system: tokens, policies, roles and bootstrapping · Connect service mesh: sidecar proxies, intentions, mutual TLS · Ingress, terminating and mesh gateways · WAN federation and multi-datacentre topologies · Consul-Terraform-Sync: catalog changes driving Terraform runs

  • Assignments: (1) Register services with real health checks and resolve them over DNS; (2) Enable the mesh between two services and deny traffic with an intention
  • Capstone: Deliver a meshed service pair with ACLs, intentions and a gateway to an external system
06Nomad — scheduling workloads on the estateLive & Interactive5 hrs · 2 assignments · 1 capstone

Running things once the infrastructure exists. Nomad's architecture and scheduler, job specifications with groups and tasks, task drivers for containers and raw binaries, constraints and affinities, then the integrations that make it worth using alongside Consul and Vault.

Topics: Servers, clients, evaluations, allocations and the scheduling flow · Job specification: job, group, task, resources and networks · Task drivers: Docker, exec, java, and driver selection · Constraints, affinities, spread and datacenter targeting · Update strategies: rolling, canary, blue-green and auto-revert · Consul integration: service registration, health and mesh · Vault integration: workload identity and templated secrets · Batch, system and periodic job types · Autoscaling, resource sizing and bin-packing behaviour · When Nomad is the right choice against Kubernetes

  • Assignments: (1) Deploy a service with a canary update strategy and force an auto-revert; (2) Give a job Vault-issued credentials with no secret in the job file
  • Capstone: Run a multi-service application on Nomad with mesh networking and dynamic secrets
07Wiring the toolchain — identity, policy and deliveryLive & Interactive5 hrs · 2 assignments · 1 capstone

The integration work that only appears once all the products are present. A single identity model across the chain, secrets injected at run time rather than baked into images, policy as code enforced in the pipeline, Boundary for human access, and the promotion path from commit to production.

Topics: One identity model: cloud IAM, Vault auth, Consul ACL, Nomad workload identity · Secret injection patterns: agent templating, sidecars, CSI, environment · Terraform and Vault together without leaking secrets into state · Policy as code: Sentinel and OPA against Terraform plans · Pipeline design: build, plan, policy check, approve, apply, verify · Boundary for identity-based human access to infrastructure · Bootstrapping and the chicken-and-egg problems in a fresh estate · Migration order when adopting the toolchain incrementally

  • Assignments: (1) Write a policy that blocks a plan creating a public storage bucket; (2) Trace one credential from Vault to a running workload and prove it expires
  • Capstone: Deliver a commit-to-production path with policy gates and no long-lived secrets
08Operating HashiCorp in productionLive & Interactive5 hrs · 2 assignments · 1 capstone

The part that starts on day two. Sizing and high availability for each control plane, upgrades and version compatibility across the chain, backup and restore that has actually been tested, observability and the metrics that matter, and the failure drills every team should have rehearsed.

Topics: Sizing and high-availability topologies per product · Upgrade order and version compatibility across the toolchain · Backup and restore: Vault snapshots, Consul snapshots, Terraform state · Telemetry, metrics and dashboards for each control plane · Failure drills: Vault sealed, Consul quorum lost, state lock stuck · Certificate and key rotation without an outage · Cost, licensing and edition decisions revisited with real usage · Runbooks, on-call expectations and access review

  • Assignments: (1) Lose Consul quorum deliberately and restore from a snapshot against the clock; (2) Rotate the Vault PKI intermediate with services running
  • Capstone: Deliver an operations runbook covering upgrade, backup, restore and three failure drills

Need this mapped to your stack?

We rebuild the agenda around the tools you actually run.

Request a custom agenda
# hands-on

Labs and capstones your engineers actually build

LAB · IMAGE

Golden image to running instance

Build a hardened image with Packer, publish it, and have Terraform pick it up by data source so no image identifier is ever hard-coded.

packerterraformimmutable
LAB · STATE

Move state without breaking anything

Migrate a project from local state to a locked remote backend, refactor into modules with moved blocks, and prove a clean plan at the end.

terraformstatemodules
LAB · SECRETS

Kill the static password

Replace a hard-coded database credential with a Vault dynamic secret, watch the lease expire, and handle renewal in the application path.

vaultdynamic secretsleases
LAB · MESH

Deny it with an intention

Put two services into the Consul mesh with mutual TLS, prove traffic flows, then block it with an intention and observe exactly where it fails.

consulservice meshintentions
LAB · SCHEDULING

Canary, fail, auto-revert

Deploy a Nomad job with a canary update strategy, ship a deliberately broken version, and watch the scheduler revert it while traffic continues.

nomadcanaryrolling update
CAPSTONE · TOOLCHAIN

Commit to production with no stored secrets

Take a service from Git commit through Packer build, policy-gated Terraform apply, Vault-issued credentials and Consul mesh onto Nomad, then break one link and recover.

pipelinesentinelintegration
# ecosystem

The tools HashiCorp sits next to

Terraform
Vault
Consul
Packer
Nomad
Boundary
Vagrant
AWS
Azure
Kubernetes
GitLab CI
Prometheus

Who this is for

  • Platform engineers designing an infrastructure automation toolchain end to end
  • DevOps engineers who know Terraform and need the surrounding products
  • SREs responsible for secrets, service discovery and workload scheduling
  • Security engineers implementing dynamic credentials and identity-based access
  • Cloud architects choosing between HashiCorp products and cloud-native equivalents
  • Teams adopting Vault or Consul after already standardising on Terraform

Pre-requisites

  • Comfortable on a Linux command line — processes, networking, TLS basics, systemd
  • Working knowledge of at least one cloud provider's core compute and networking
  • Familiarity with containers and how images are built and run
  • Git and a version-controlled workflow, including branches and pull requests
  • A cloud account with free-tier or sandbox credit that labs can provision into
# pricing

Straightforward pricing

Every plan includes 1 year of full LMS access — not just this course, the entire DevOpsSchool LMS: 20+ courses, 50+ tools, videos, quizzes, assignments and projects.

Self-paced video

₹833/mo

Billed yearly at ₹9,996

Enroll now

1-on-1 mentorship

₹99,999

Full program, private instructor

Enroll 1-on-1

Corporate / private batch

8–30 engineers · custom agenda · onsite or online · PO and GST invoicing

Get a custom quote

Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.

Terms. Course material remains licensed to the attendee. Read the terms.

Your data. We don't share it with third parties. Privacy policy.

Every attendee gets a verifiable certificate

  • Issued per attendee on completion
  • Verifiable at devopsschool.com/certificates
  • Hard copy available on request
  • Corporate batches receive an attendance and assessment report
DevOpsSchool

HashiCorp Training

Certificate of completion

# feedback

What engineers say

4.4 / 5 from 26 reviews on Trustpilot.

★★★★★
I took Terraform training with the tutor named Mithilesh. I requested to tailor the course curriculum for my needs. He did an excellent job of showing me how to write the Terraform script per the instructions provided.
jason smith · Trustpilot
★★★★★
Very good training session. Well explained from the basics to the complex concepts. Also tried to cover practicals and demos within the 3 hour sessions. The learning content and videos are of a great deal of help.
Sreekanth Kannoth · Trustpilot
★★★★★
Basics explanation was exemplary from Rajesh where he dealt with complicated topics to be simple. Great learning stuff personally for me.
Krishna Mohan Yelleti · Trustpilot
★★★★★
Very detailed explanation and has lots of patience in attending the questionnaire. Thanks again for your wonderful sessions.
Uttam Samudrala · Trustpilot
★★★★★
Good discussion, helped us to understand different tools in SRE.
Prashant Saxena · Trustpilot
★★★★★
Got good lab sessions which kept the new DevOps tool learnings to the point and it helped a lot in my career.
robin son · Trustpilot
# comparison

Why a named practitioner beats a marketplace listing

What mattersYouTube + blogsGeneric online courseFreelance marketplaceDevOpsSchool
Named practitionerNoRarelyVaries per bookingYes — same trainer each time
Production experienceUnknownUnknownUnverified20 years, named employers
Custom agendaNoNoSometimesBuilt from your stack
Onsite deliveryNoNoSometimesYes
Lab environmentNoneSandbox that expiresVariesYour own cloud — skill goes with you
AssessmentNoneQuizRarelyAssignments + capstone per module
Per-attendee certificatesNoSometimesRarelyYes
Corporate invoicingNoLimitedVariesPO and GST
Post-training supportNoneForum, time-limitedNoneLifetime forum access
# questions

Frequently asked

Can the agenda be customised for our stack?
Yes — that is the normal case for a private batch. We start with a discovery call, look at which products you run today and which you are adopting, and rebuild the module list around them. Most clients run three of the five.
How is this different from the individual Terraform or Vault courses?
The single-product courses go deeper on one tool. This one is about the joins — how an image becomes an instance, how a workload proves identity to Vault, how Consul and Nomad share service state. If your team already knows one product well, this fills the gaps between them.
Do you deliver onsite?
Yes. Private batches run onsite at your premises, live online, or hybrid. You provide the room and the engineers; we bring the trainer, agenda, labs, assessment and certificates.
What lab environment do we need?
Attendees provision their own environment — free-tier AWS, Azure or GCP, plus local binaries or containers for Vault, Consul and Nomad. We guide the setup; the environment they build is the one they keep.
Do you cover HCP and the managed services?
Yes. We compare self-managed against HCP Terraform, HCP Vault and HCP Consul on operational burden, cost and feature parity, and the labs can run either way for the Terraform modules.
What is your position on the BSL licence change and OpenTofu?
We teach it as an architecture decision, not a campaign. Module 01 covers what changed, which usage patterns are affected, where OpenTofu is a viable substitute for Terraform, and what the enterprise features you would be giving up actually do.
Is Nomad still worth learning if we run Kubernetes?
Sometimes. Module 06 is explicit about where Nomad wins — mixed non-container workloads, smaller operational footprint, edge deployments — and where Kubernetes is simply the better answer. Batches running Kubernetes often trade that module for more Vault depth.
What size are batches?
Private corporate batches run 8 to 30 engineers. Public Live & Interactive cohorts are capped at 10 so everyone gets time with the trainer.
Do attendees get a certificate?
Yes — every attendee receives a completion certificate, verifiable at devopsschool.com/certificates. Corporate batches also receive an attendance and assessment report.
What is your refund position?
If we cancel or postpone a cohort, you receive a full refund within 15 days. There is no general money-back guarantee, and GST and gateway fees are not refunded.

Still deciding?

Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.

Talk to an advisor
# ready when you are

Book a HashiCorp trainer — or ask a question first.

  • No spam, no drip sequence
  • Syllabus in 60 seconds
  • A human reply within one business day

Prefer to call or email?

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