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Ansible Trainer in Bangalore

Private corporate batches delivered onsite across Bangalore, or live online in IST (UTC+5:30) — taught by a practitioner who runs Ansible in production.

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

DeliveryOnsite at your office · Online
FormatsCorporate · 1-on-1 · Cohort
AgendaCustomisable
TimezoneIST (UTC+5:30)
Engineers we've trained work at
JPMorgan ChaseBank of AmericaWells FargoVerizonNokiaWorld BankGE HealthcareVMwareOracleQualcommMercedes-BenzAirbusDatadogSplunkDeloitteInfosysWiproCapgemini
# who teaches it

Your Ansible trainer

Rajesh Kumar

Principal DevOps Engineer & Architect

20 yearsDevOpsSRESecurityEarly-bird MLOpsAIOpsEx-PayPaySoftwareAGServiceNowAdobeIntuitIBMAccenture10,000+ engineers trainedM.Tech BITS Pilani25+ certifications

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 engineers at JPMorgan Chase, Bank of America, Wells Fargo, Verizon, Nokia, the World Bank, GE Healthcare, VMware, Oracle, Qualcomm, Mercedes-Benz, Airbus, Datadog, Splunk, Deloitte, Infosys, Wipro and Capgemini — more than 10,000 engineers personally. He teaches what he runs, not what he reads.

Rajesh teaches Ansible as an estate rather than a language: inventory layouts that separate environments cleanly, variable precedence traced end to end so surprising values stop being mysteries, collection pinning and private hubs, Vault-managed credentials that survive CI and key rotation, and the performance settings — forks, pipelining, fact caching, execution strategy — that decide how long a fleet-wide run takes. Sessions run live against real hosts, including the failure paths most courses avoid: partial runs, non-idempotent modules, delegation, and what happens when a playbook meets an estate that does not match its assumptions.

# 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 Ansible 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.

Onsite delivery happens at your own office. Sessions are most often requested at sites in Whitefield, along the Outer Ring Road between Bellandur and Marathahalli, at Manyata Tech Park and in Electronic City, and we schedule one site per day — crossing between the Silk Board and KR Puram stretch in peak hours costs an hour that belongs in the lab. You provide the room, a screen and outbound network access to your cloud accounts and internal Git; we bring the trainer, the agenda, the lab repositories and the assessment. A 09:30 start suits teams that hand over to US counterparts in the evening; groups supporting European hours usually prefer 11:00 to 18:00. All sessions are scheduled in IST (UTC+5:30) and planned around your code-freeze and release windows rather than through them. Invoicing is in INR from our Indian entity with GST, against a purchase order where procurement requires one, and multi-batch bookings are quoted as a single engagement.

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 Ansible 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 Ansible?

Ansible is an automation engine that turns operational intent into code that can be reviewed, versioned and re-run. A control node holds the playbooks, the inventory and the credentials; managed hosts need nothing beyond an SSH daemon and a Python interpreter, or WinRM and PowerShell on Windows. Because there is no agent, the unit of trust becomes the connection itself — which means access control for Ansible is, in practice, SSH key management and sudo policy written carefully.

Since ansible-core separated from the community package, content ships as collections: modules, roles, plugins and filters versioned and distributed together, resolved from Galaxy or from a private hub inside your network. A playbook is still YAML and tasks are still idempotent, but the dependency question — which collection version supplies a module, and where that version is pinned — is now part of designing an estate rather than an afterthought discovered during an upgrade.

Running Ansible against hundreds of hosts also makes it a performance problem. Forks, SSH pipelining, persistent connections, fact caching, the free versus linear strategy and the cost of gathering facts on every play decide whether a fleet-wide run finishes in four minutes or forty. Layered over that are the safety controls a change-controlled environment needs: check mode with diff, tags, host limits, serial batching, and the block, rescue and always structure that determines what a half-failed run leaves behind on a production host.

Why this skill matters now

Automation debt has become a hiring category of its own. Most organisations passed the point where hosts, containers and cloud accounts could be managed by hand years ago, and what filled the gap was a mixture of Ansible, shell and institutional memory. The memory leaves; the playbooks stay.

Ansible is where that debt usually lives, because it is the tool teams adopt first — it works against existing servers, existing SSH access and existing credentials, so it can be introduced without a platform migration or a budget line. The consequence is that most Ansible estates were never designed. They grew. Inventories are flat, roles are copied rather than composed, secrets sit in a file someone means to move, and nobody is certain what a run against production will actually change.

What organisations hire for now is the repair skill, not the introduction skill: restructuring inventory so environments are separable, making runs safe to execute under change control, moving credentials into Vault without breaking CI, and putting playbooks under lint and Molecule tests so the next contractor cannot quietly regress them. In Bangalore that demand is amplified by team turnover — an estate typically outlives three sets of the engineers who wrote it.

Ansible training
# outcomes

What your team can do afterwards

Restructure an inherited Ansible repository into an inventory, role and collection layout that separates environments cleanly
Trace variable precedence end to end and explain, from the ordering rules, why a particular value won
Make production runs defensible — check mode with diff, tags, host limits, serial batching and rescue behaviour
Pin and distribute collections from Galaxy or a private hub so a rebuild produces the same result months later
Move credentials into Ansible Vault, including multiple vault IDs and unattended decryption inside CI
Tune a fleet-wide run with forks, SSH pipelining, fact caching and execution strategy instead of accepting the default speed
Test roles before they reach a host using ansible-lint, molecule and a CI gate that blocks a bad merge
Operate Ansible for other teams with AWX or Tower — projects, job templates, surveys, RBAC and audit logging
# curriculum

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

01Ansible as an estate, not a scriptLive & Interactive5 hrs · 2 assignments · 1 capstone

How the pieces actually fit: control node, inventory, connection plugins and the configuration precedence that decides which ansible.cfg is in force. The split between ansible-core and the community package, and why that split changes how you version automation.

Topics: Control node, managed hosts and the SSH execution path · ansible.cfg precedence and the settings worth changing · ansible-core versus the community package · Collections as the unit of distribution · Command-line entry points: ansible, ansible-playbook, ansible-inventory, ansible-doc · Where Ansible is the wrong tool

  • Assignments: (1) Audit an existing repository and list every source of configuration precedence in force; (2) Document the connection and privilege path from control node to a production host
  • Capstone: Produce a one-page architecture note describing how Ansible is versioned, distributed and executed in your organisation
02Inventory that survives growthLive & Interactive5 hrs · 2 assignments · 1 capstone

The design decision that determines whether an estate stays maintainable at five hundred hosts. Static inventory in a directory, groups and groups of groups, host and group variables, and dynamic inventory plugins sourced from cloud accounts.

Topics: Inventory directories, multiple sources and merge behaviour · Groups, groups of groups and behavioural parameters · host_vars and group_vars layout that maps to environments · Host patterns, --limit and targeting mistakes that reach the wrong fleet · Dynamic inventory plugins for AWS, Azure and GCP · Inventory caching and keyed groups

  • Assignments: (1) Convert a flat INI inventory into a directory layout with three environments; (2) Wire a dynamic inventory plugin against a cloud account and group hosts by tag
  • Capstone: Design an inventory for a multi-environment, multi-region estate and prove targeting with --list-hosts
03Playbooks under change controlLive & Interactive5 hrs · 2 assignments · 1 capstone

Writing automation that a change advisory board would sign off. Play structure and ordering, handlers and notification, check mode with diff, tags and limits, serial batching, and the block, rescue and always structure that defines what a partial failure leaves behind.

Topics: Play structure, ordering and pre/post tasks · Handlers, notify, listen and flush_handlers · Check mode, --diff and modules that do not support them · Tags, --limit and --start-at-task · serial, max_fail_percentage and rolling execution · block / rescue / always and deliberate failure handling

  • Assignments: (1) Add check-mode safety and tags to an existing production playbook; (2) Convert a failure-prone deployment into a serial rolling update with rescue
  • Capstone: Build a zero-downtime rolling deployment and deliberately break it mid-run to prove the rescue path
04Variables, facts and precedenceLive & Interactive5 hrs · 2 assignments · 1 capstone

Where values come from and which one wins. Role defaults, inventory variables, play and task variables, registered results, extra-vars, gathered facts, custom and external facts — and the precedence order that explains almost every surprising Ansible behaviour.

Topics: The full precedence order, worked through in a live example · Role defaults versus role vars · Registered variables, when to use set_fact, and scoping · Gathered facts, custom facts and fact caching · Jinja2 templating, filters, tests and lookups · Debugging with ansible-inventory and --extra-vars

  • Assignments: (1) Debug a repository where the wrong variable value wins and explain the rule that caused it; (2) Template one configuration file that behaves correctly across three environments
  • Capstone: Parameterise a role so a single codebase serves dev, staging and production through variables alone
05Roles, collections and reuseLive & Interactive5 hrs · 2 assignments · 1 capstone

Structuring automation so it can be shared and upgraded. Role layout, defaults, dependencies and the search path; then collections — building them, versioning them, pinning them in requirements.yml, and serving them from a private hub rather than the public internet.

Topics: Role directory structure, defaults, meta and dependencies · include_role versus import_role and when the difference matters · Building a collection: galaxy.yml, namespaces and semantic versioning · requirements.yml, pinning and reproducible installs · Private Galaxy hub or artifact repository as the source of truth · Refactoring a monolithic playbook without a big-bang rewrite

  • Assignments: (1) Decompose a 400-line playbook into three composable roles; (2) Package roles into a collection, version it and consume it from another repository
  • Capstone: Publish an internal collection with pinned dependencies that another team can adopt unaided
06Secrets with Ansible VaultLive & Interactive5 hrs · 2 assignments · 1 capstone

Keeping credentials inside the automation workflow instead of beside it. Encrypting files and single values, multiple vault IDs for separate environments, rekeying, and the unattended decryption problem every CI pipeline eventually hits.

Topics: encrypt, decrypt, view, edit and rekey · encrypt_string for single values inside plain files · Multiple vault IDs and per-environment keys · Vault password files, scripts and CI secret stores · Rotation without breaking running pipelines · Where Vault stops and a secrets manager begins

  • Assignments: (1) Encrypt one environment's credentials and run a playbook against them unattended; (2) Rotate a vault key across a repository with no downtime
  • Capstone: Design a secrets workflow that survives key rotation, CI automation and an auditor's questions
07Testing automation before it reaches a hostLive & Interactive5 hrs · 2 assignments · 1 capstone

The practice that separates an estate that can be changed from one nobody dares touch. Syntax checking, ansible-lint rule sets, molecule scenarios against containers or cloud instances, and a CI gate that blocks a merge rather than reporting after the fact.

Topics: --syntax-check, --list-tasks and dry-run discipline · ansible-lint profiles and suppressing rules honestly · Molecule scenarios, drivers and the converge/idempotence/verify cycle · Testing idempotency as an assertion, not a hope · Wiring role tests into a CI pipeline · Managing test matrices across OS versions

  • Assignments: (1) Add a molecule scenario to an existing role and make the idempotence step pass; (2) Configure a CI job that fails the build on lint violations
  • Capstone: Put a role library under lint and molecule tests with a merge gate that a reviewer can trust
08Scale, performance and Ansible for other teamsLive & Interactive5 hrs · 2 assignments · 1 capstone

Operating Ansible for an organisation rather than yourself. The settings that decide fleet-run duration, then AWX or Tower: projects wired to source control, job templates and surveys, credentials, RBAC, logging and backup — so an application team can run automation without shell access to the control node.

Topics: forks, SSH pipelining and persistent connections · Fact caching and gather_subset · linear, free and host_pinned strategies · AWX/Tower projects, inventories, credentials and job templates · Surveys, workflows and scheduled jobs · RBAC, LDAP integration, logging and backup · Writing a custom module or filter plugin when nothing fits

  • Assignments: (1) Reduce a slow fleet-wide run using forks, pipelining and fact caching, and measure the difference; (2) Stand up AWX and publish a job template with a survey for an application team
  • Capstone: Deliver a self-service automation workflow another team can run unaided, with RBAC and an audit trail

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 · INVENTORY

Rescue a flat inventory

Take an inherited INI inventory of 200 hosts and restructure it into a directory layout with three environments, keyed dynamic groups and provable targeting.

inventorygroup_varsdynamic inventory
LAB · SAFETY

Make a playbook safe for production

Add check mode, diff output, tags, host limits and serial batching to a playbook that currently runs everywhere at once, then prove each control works.

check modeserialtags
LAB · REUSE

Monolith to collection

Decompose a 400-line playbook into roles, package them as a versioned collection, publish it and consume it from a second repository with a pinned requirement.

rolescollectionsgalaxy
LAB · SECRETS

Vault through a pipeline

Encrypt an environment's credentials with a dedicated vault ID, run unattended from CI, then rotate the key while the pipeline keeps running.

vaultcirotation
LAB · TESTING

Molecule as a merge gate

Add molecule scenarios to two roles, make the idempotence step genuinely pass, and wire lint plus tests into a CI job that blocks the merge on failure.

moleculeansible-lintci
CAPSTONE · SCALE

Fleet run in four minutes

Profile a slow run across a large inventory, tune forks, pipelining, fact gathering and strategy, then publish the result as an AWX job template with RBAC.

performanceawxrbac
# ecosystem

The tools Ansible sits next to

Terraform
AWX / Tower
Molecule
ansible-lint
Jenkins
GitLab CI
HashiCorp Vault
AWS
Azure
Kubernetes
Docker
Git
Prometheus
Packer

Who this is for

  • Infrastructure and platform engineers who inherited an Ansible estate they did not design
  • SREs standardising operational runbooks so they are repeatable and auditable
  • Linux and Windows system administrators moving from manual builds to code
  • Cloud engineers pairing Ansible with Terraform for provisioning and configuration
  • Network engineers automating switches, routers and lab equipment where no agent can be installed
  • Build and release engineers orchestrating multi-tier deployments from CI

Pre-requisites

  • Comfortable on a Linux command line — files, permissions, packages, systemd services
  • SSH in practice: keys, agents, jump hosts and sudo policy
  • Some scripting exposure in any language; Python helps but is not required
  • Working knowledge of Git branches and pull requests
  • Two or three hosts, VMs or free-tier cloud instances per attendee for labs
# bangalore

Ansible training in Bangalore

Ansible work in Bangalore concentrates in three distinct places. The telecom and networking R&D sites around Manyata Tech Park and the Outer Ring Road use it for network device automation and lab provisioning, where installing an agent on a router or a traffic generator was never an option in the first place. The banking and insurance GCCs around Embassy Golf Links, Bagmane Tech Park and the Bellandur stretch run it against hardened RHEL and Oracle Linux fleets, because a security review that will not approve a new daemon on a production host will still approve SSH and a controlled sudo policy. And the silicon and EDA houses across Bangalore — where compute is licensed per seat and shared between teams — use Ansible to configure grid nodes without adding anything permanent to the node image.

The hiring picture follows from that. Bangalore platform-engineering specs almost never ask for Ansible on its own; they ask for Ansible with Terraform and one cloud, and the screening questions are about inventory layout, variable precedence and check-mode safety rather than YAML syntax. The teams that call for training are rarely starting from zero. They have inherited three hundred playbooks written by rotating contractors — flat inventories, shell tasks impersonating modules, credentials in Git — and need the estate made maintainable by people who will still be there next year. That is where most private Ansible batches in Bangalore begin, and it is a different starting point from a greenfield introduction.

Where we deliver onsite

WhitefieldOuter Ring Road (Bellandur–Marathahalli)Electronic CityManyata Tech ParkBagmane Tech Park, CV Raman NagarEmbassy Golf Links, DomlurHebbalKoramangala

Teams trained in Bangalore

NokiaQualcommOracleVMwareWells FargoInfosys
# pricing

Straightforward pricing, quoted in INR

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

Ansible Training

Certificate of completion

# feedback

What engineers say

4.4 / 5 from 26 reviews on Trustpilot.

★★★★☆
Helped to understand more on overall DevOps concepts.
Pankaj Malhotra · 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
★★★★★
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
★★★★★
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
★★★★★
My experience with the AIOps training was positive. The course covered important topics in a structured way, and Rajesh Kumar explained the concepts patiently. I found the practical aspects particularly helpful because they made the technical content easier to understand.
AARTI KUMARI · 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

Do you deliver onsite in Bangalore?
Yes. Private batches run at your own office — Whitefield, the Outer Ring Road corridor, Electronic City, Manyata Tech Park and the Bagmane and Embassy Golf Links parks are the usual sites. You provide the room, screen and network; we bring the trainer, agenda, labs and assessment.
Can sessions be scheduled around our release calendar?
Yes, and it is the norm. Bangalore teams commonly split a five-day batch into two blocks either side of a code freeze, or run half-days from 09:30 so the overlap with US counterparts is protected. Everything is scheduled in IST.
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 the cloud, CI system, OS mix and security constraints you actually run, and rebuild the module list around them. Examples then use your topology rather than a generic one.
We already run Ansible badly. Is this course still right?
That is the most common starting point. Bring a real repository under NDA and we will use it — restructuring the inventory, tracing variable precedence, moving secrets into Vault and adding a test gate — instead of building a toy estate from scratch.
What lab environment do we need?
Attendees provision their own environment — free-tier AWS, Azure or GCP, or local VMs — and we walk them through it. We deliberately do not hand out temporary sandboxes, because the environment they build is the one they keep.
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.
How long does a private Ansible batch take?
Three to five days. Inventory, playbooks, variables and roles fit in three; adding collections, Vault, molecule testing and AWX takes it to five.
Can you cover network automation rather than servers?
Yes, with a customised agenda. The core — inventory, precedence, roles, Vault, testing — is identical; the module library, connection plugins and examples switch to network platforms and cli_command style workflows.
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.
How do you handle invoicing and tax?
Corporate quotes are issued in INR from our Indian entity with GST, and we support purchase orders. Onsite travel within Bangalore is included in the quote; travel outside the city is quoted separately.
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?

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Talk to an advisor
# ready when you are

Book a Ansible trainer — or ask a question first.

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  • Syllabus in 60 seconds
  • A human reply within one business day

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