Private corporate batches, live online cohorts and 1-on-1 mentoring in Twitter/X as a professional channel — content strategy, community, paid campaigns and API automation — 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
Principal DevOps Engineer & Architect
Rajesh teaches Twitter/X as two connected disciplines: the communications side — how distribution actually works now, what earns reach in a technical community, and how a public support and incident-response workflow is staffed and escalated — and the engineering side, where the API is the real subject. Sessions cover API v2 access tiers and their honest limits, authentication with OAuth 2.0 and app-only tokens, pagination and rate-limit handling that survives production, filtered-stream rules for listening, and the automation policy boundaries that determine whether a bot is useful or suspended. Paid campaigns, conversion tracking and measurement are taught the same way as any other performance channel, with the platform's volatility stated rather than glossed over.
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.
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.
Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.
Engagements are matched on the tool, not the calendar. For Twitter that means a trainer who has run it in production — Twitter/X as a professional channel — content strategy, community, paid campaigns and API automation — 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.
Principal DevOps Engineer & Architect
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.
Teams of 8–30
Custom agenda, your timezone, onsite or online, NDA-friendly.
Request a quoteIndividual engineers
A private instructor and a curriculum built around your goal.
₹99,999Individuals who want peers
Scheduled batch, max 8 to 10 hours of live instruction.
₹34,999A 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 Twitter batchTwitter, now operating as X, is a public short-form posting platform built around a following graph and a real-time timeline. Content is posted as short messages that can carry images, video, links and threads; distribution comes from a mix of who follows an account and what an algorithmic feed decides to show beyond that. Unlike most social platforms, the default posture is public — most posts are visible without an account relationship, which is what makes it useful for reaching people who do not already know you and equally what makes mistakes on it permanent and quotable.
For organisations, Twitter fills a small number of specific jobs rather than being a general marketing channel. It remains one of the strongest venues for developer relations and technical community — engineers, open-source maintainers, security researchers and practitioners discuss work in public there. It carries real-time announcements, incident and status communication, event and conference presence, and a customer support surface where complaints arrive publicly whether or not you are staffing it. It also has a self-serve advertising platform with the usual objective-based campaign structure, targeting and conversion measurement.
The platform has changed substantially, and being honest about that is part of using it well. The name, verification model, ranking behaviour, moderation approach and public API access have all shifted, and API access in particular moved from broadly free to tiered and paid. Any credible plan for Twitter now has to account for that volatility rather than assume the platform of several years ago.
Social platforms fragmented, and organisations that once had one social strategy now have to make deliberate per-platform choices. Twitter/X is the clearest case: audience composition, reach behaviour and API access all changed enough that a strategy written a few years ago is likely wrong, while several communities — developer, security, financial, media and public sector — continue to conduct a large share of their public conversation there.
That produces two practical needs. The first is honest evaluation. Teams keep posting to the channel out of habit without measuring whether it produces anything, or abandon it without checking whether their specific audience is still there. Both are expensive in different ways, and deciding properly requires understanding how distribution now works and how to measure it.
The second is capability where the channel does matter. Developer relations and technical marketing teams need people who can build genuine presence rather than broadcast press releases; support teams need a public-response workflow with escalation and tone guidance; communications teams need a rehearsed plan for the day something goes wrong in public; and engineering teams increasingly need the API for listening, automation and internal alerting, which now requires understanding access tiers, rate limits and automation policy well enough not to get an account suspended.
An honest baseline before any strategy. How the timeline and ranking behave, what public posting means for reach and for risk, who is actually still on the platform in your sector, and how to decide whether the channel earns a place in your plan at all.
Topics: Timeline mechanics: following graph, algorithmic feed and what drives distribution · Post formats: text, threads, media, links, polls, long-form and spaces · The rebrand to X and what materially changed beyond the name · Verification, subscription tiers and their effect on reach · Audience reality by sector: where the technical and professional communities still are · Platform risk: policy volatility, moderation changes and permanence of public posts · Deciding to invest, maintain or exit, with a measurable test
Building an account that a specific audience has a reason to follow. Profile and positioning, the formats that actually travel, threads and long-form, cadence and scheduling, visual and link handling, and a content system that survives the person who created it leaving.
Topics: Profile, handle, bio, pinned post and link strategy · Positioning: brand account, product account, individual practitioner account · Formats that earn distribution and formats that suppress it · Threads, long-form posts and when each is right · Media handling: images, video, alt text and accessibility · Cadence, scheduling and timing without becoming a bot · Repurposing from blogs, talks, documentation and release notes · Editorial calendar, approval workflow and tone guidelines · Employee and executive advocacy without ghostwriting problems
The activity that actually works on this platform. Engaging in existing conversation rather than broadcasting into it, building relationships with practitioners and maintainers, running events and launches, and staffing the public support surface where complaints arrive whether you answer or not.
Topics: Conversation-first engagement: replies, quotes and joining threads well · Developer relations: technical credibility, open source and practitioner audiences · Community building around a product, project or event · Launches, announcements and coordinating with other channels · Live coverage: conferences, releases and incidents · Public support: triage, response time, tone and moving to a private channel · Escalation paths and who is allowed to speak · Handling hostility, pile-ons and bad-faith engagement · Rehearsing a crisis communications plan before you need it
The advertising platform treated like any other performance channel. Campaign objectives and structure, targeting options and their real precision, ad formats, budget and bidding, conversion tracking, and measuring incremental effect rather than accepting platform-reported numbers.
Topics: Account setup, billing and campaign hierarchy · Objectives: awareness, engagement, traffic, app and conversion · Targeting: keyword, interest, follower look-alike, custom audiences and geography · Ad formats and creative specifications · Budget, bidding and pacing · Conversion tracking installation and validation · Audience exclusion and frequency management · Reading platform-reported results sceptically · Benchmarking against other paid channels honestly
The engineering half. Developer account and project setup, access tiers and what each actually permits, OAuth 2.0 and app-only authentication, the v2 endpoints for posting, lookup and search, pagination and rate limiting done properly, and the filtered stream for real-time listening.
Topics: Developer portal, projects, apps and environments · Access tiers and the honest limits of each · Authentication: OAuth 2.0 user context, PKCE and app-only bearer tokens · Token storage, refresh and revocation · v2 endpoints: post creation, lookup, timelines and search · Fields, expansions and requesting only what you need · Pagination and cursoring across large result sets · Rate limits, headers, backoff and retry that survives production · Filtered stream rules and real-time listening · Webhooks, direct messages and account activity where available
Keeping automation useful and accounts alive. What platform policy permits for bots and scheduled activity, building listening and alerting pipelines, analytics from both the native dashboard and the API, attribution honesty, and the governance that stops a corporate account becoming a liability.
Topics: Automation policy: what bots may and may not do · Patterns that get accounts restricted or suspended · Listening pipelines: collection, storage and alerting · Internal alerting integrations for incidents and mentions · Native analytics and API-derived metrics compared · Metrics that matter: reach, engagement quality, referral traffic, conversion · Attribution limits and cross-channel measurement honesty · Account security: access control, two-factor, delegated access and offboarding · Data retention, deletion compliance and regional obligations · Documenting the whole operation so it survives staff turnover
We rebuild the agenda around the tools you actually run.
Request a custom agendaAudit a live account against real outcomes, then design a 60-day test that would settle the invest-or-exit question with evidence.
Build a content calendar entirely from blogs, talks, docs and release notes you already have, with formats chosen for how distribution actually works.
Run a tabletop exercise on a realistic public failure, exercising the response playbook, escalation path and who is permitted to speak.
Build an authenticated API client that posts, reads and paginates, and prove it handles rate limiting and transient failure without losing data.
Write filtered stream rules for a real listening use case and pipe qualifying mentions into an internal alerting channel.
Deliver an operating model covering content, community, paid campaigns, API automation, measurement and account governance.
Billed yearly at ₹9,996
Max 8 to 10 hours of live instruction
Full program, private instructor
8–30 engineers · custom agenda · onsite or online · PO and GST invoicing
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.
Certificate of completion
Rajesh's experience and knowledge are exceptional and we learnt invaluable practical knowledge which we can apply in our production environment. Incredibly friendly and gave us a fantastic insight both in-depth and at a high level of the Rundeck product.
Great learning experience from a very knowledgeable instructor with well-prepared course notes. The lab exercises on AWS instance work well to learn the hands-on side of the course.
Rajesh is a very good trainer I have experienced in DevSecOps training. The number of contents in different topics he has posted on the DevOpsSchool public website are amazing and user friendly for beginners and experienced professionals.
The trainer (Rajesh) provided very good sessions on SRE profession. Not only hands-on learning on the tools but also SRE mindset.
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.
Basics explanation was exemplary from Rajesh where he dealt with complicated topics to be simple. Great learning stuff personally for me.
| What matters | YouTube + blogs | Generic online course | Freelance marketplace | DevOpsSchool |
|---|---|---|---|---|
| Named practitioner | No | Rarely | Varies per booking | Yes — same trainer each time |
| Production experience | Unknown | Unknown | Unverified | 20 years, named employers |
| Custom agenda | No | No | Sometimes | Built from your stack |
| Onsite delivery | No | No | Sometimes | Yes |
| Lab environment | None | Sandbox that expires | Varies | Your own cloud — skill goes with you |
| Assessment | None | Quiz | Rarely | Assignments + capstone per module |
| Per-attendee certificates | No | Sometimes | Rarely | Yes |
| Corporate invoicing | No | Limited | Varies | PO and GST |
| Post-training support | None | Forum, time-limited | None | Lifetime forum access |
Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.
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