# AI Training for Enterprise Teams in India, USA, UK & Australia | Koso > Corporate AI training and use-case based AI skilling for enterprise teams in India, the USA, UK and Australia. We map the workflows each function actually runs, then train on those, hands-on, with your tools and your data. Three levels, cohort, private and in-person formats. [](/) [Services](/#services)[AI OS](/ai-os)[Training](/training)[Education](/education) [Book a call ](/book) Koso Training # AI training for teams that actually ships work. Use-case based AI skilling for companies in India, the USA, the UK and Australia. We map the workflows your marketers, sellers, finance, people and engineering teams actually run, then train on those, hands-on, with your tools and your data. Every session ends with something your team can use the next morning. [Talk to us about training ](/book)[See your team's use cases](#use-cases)[See the levels](#tracks) Trusted by teams at GoogleMicrosoftNoiseCloviaTrulyMadly 100+ workshops and sessions delivered. Use-case based AI skilling ## Not AI in general. Your team's AI. A marketer's AI training should look nothing like a developer's, yet one-size-fits-all keeps getting rolled out. We map the workflows each function actually runs before we write a line of curriculum, then every session builds one of them. Pick a team below and see what they'd walk out with. Click a team Marketing & contentSales & GTMFinance & opsPeople & HRSupport & successEngineering & product Use-case map 01 #### Campaign engine Pull a segment from the CRM, brief it, draft it in your brand voice, schedule across channels. A brief → draft → approve → schedule flow 02 #### Content and SEO at scale Programmatic pages, refreshes and internal links driven by your own Search Console data. A content pipeline wired to your CMS 03 #### Performance narrative The weekly channel story written from ad, CRM and analytics data instead of screenshotted charts. An auto-written Monday report in Slack Marketing track Marketers learn marketing AI. Not AI in general. Tap a team MarketingSalesFinancePeopleSupportEngineering Marketing & content Marketers learn marketing AI. Not AI in general. Use-case map 01 #### Campaign engine Pull a segment from the CRM, brief it, draft it in your brand voice, schedule across channels. A brief → draft → approve → schedule flow 02 #### Content and SEO at scale Programmatic pages, refreshes and internal links driven by your own Search Console data. A content pipeline wired to your CMS 03 #### Performance narrative The weekly channel story written from ad, CRM and analytics data instead of screenshotted charts. An auto-written Monday report in Slack The difference ## Same room. Different Monday. Most AI training ends the moment the certificate lands. Use-case based skilling is built so the work continues, because the thing your team built in the session is already wired into how they work. Standard AI training Use-case based AI skilling Starting point A syllabus someone wrote last year Your workflows, mapped in a discovery call Curriculum One deck for every audience in the room Rebuilt per function, per team, per quarter Practice data Toy datasets and sample prompts Your data and your tools, in a safe sandbox Who teaches Full-time trainers reading slides Engineers who ship production AI for clients Format Theory first, demo at the end Build, break and ship inside the session You leave with A certificate 8–12 working artefacts your team uses Monday After the session Application left to the learner Sandbox to live work, with a 30-day check-in Starting point A syllabus someone wrote last year Your workflows, mapped in a discovery call Curriculum One deck for every audience in the room Rebuilt per function, per team, per quarter Practice data Toy datasets and sample prompts Your data and your tools, in a safe sandbox Who teaches Full-time trainers reading slides Engineers who ship production AI for clients Format Theory first, demo at the end Build, break and ship inside the session You leave with A certificate 8–12 working artefacts your team uses Monday After the session Application left to the learner Sandbox to live work, with a 30-day check-in Three tracks ## Three audiences. Three depths. Click a track to open it The use cases decide what gets taught. These tracks decide how deep it goes. Most AI training is either condescending fluff for executives, generic prompt tips for marketers, or hardcore notebook tutorials for engineers. We split it cleanly instead, so each room actually levels up. For marketers & operators Marketers, content, ops, sales, HR and finance teams. 01 ### Foundations 1 day · or 3 evenings Stop pasting prompts into ChatGPT. Start running AI workflows that touch your real tools. * Marketers: spin up campaign engines that pull from your CRM, brief, draft and schedule across channels * Ops & finance: automate weekly reports, reconciliation and inbox triage with connected AI * Sales: enrich leads, draft proposals and follow-ups grounded in your own data * Spot when a generic tool is enough vs when you need a custom connector built 02 ### Practitioner 2 days · or 6 weekly sessions Wire AI into the way your team actually works. No code required. * Marketers: SEO at scale, programmatic landing pages, content engines tied to analytics * Ops: end-to-end workflows across Slack, Notion, Airtable, your CRM and your data warehouse * HR & support: AI agents that screen, route and respond using your own playbooks * Write a clean brief a builder can turn into a working integration for your stack For engineers & product Engineers, data, product and platform teams. 01 ### Foundations 2 days · hands-on Go from API curiosity to shipping a working AI feature inside your product. * Mental model of LLMs, embeddings, tool use and system design that holds up in code review * Build custom connectors and wrappers around any model, your APIs and your database * Implement structured outputs, streaming and tool calls in your own services * Ship a working prototype: a copilot, an agent, or an AI feature inside your app 02 ### Practitioner 3 days · project-based Build production-grade connected AI systems, with evals and observability. * Production RAG and agentic systems over your own data, APIs and permissions * Multi-step agents with custom tool integrations, memory and guardrails * Eval harnesses, tracing and observability so you can ship AI without flying blind * Cost, latency and model-routing strategies that survive real scale 03 ### Architect 5 days · embedded with your team Design the AI platform your whole company will build on. * Reference architecture: gateway, vector store, eval, orchestration, audit * Security: PII, prompt injection, least-privilege tool access, tenant isolation * Model strategy: routing, fine-tuning, distillation, self-hosted and on-prem options * An internal AI platform spec your team can execute against next quarter For CXOs & boards CEOs, CTOs, COOs, CMOs, CFOs and their leadership teams. 01 ### Executive Primer Half-day · boardroom format Cut through the AI noise. Decide what your company actually needs to do this year. * A clear-eyed view of where AI moves the P&L vs where it's a distraction * Frameworks to evaluate vendors, agencies and internal proposals without being sold to * A short list of plays specific to your industry, with rough ROI and timelines * Language to align your board, your CFO and your engineering org on the same plan 02 ### Leadership Program Executive program · 4 sessions Lead an AI-native org without writing a line of code. * Build a 12-month AI roadmap with clear ROI lines and kill criteria * Decide buy vs build vs custom for each initiative, and staff it accordingly * Set up governance, data policy and risk controls for connected AI systems * Run a portfolio of AI bets like a product org, not a science project 03 ### Board & C-suite Offsite 1–2 day intensive · private Get your top team out of the room with one strategy, not ten opinions. * Pressure-test your AI thesis against your competitive landscape and capital plan * Org design: where AI sits, who owns it, how it interacts with product and data * M&A, partnerships and talent moves to make in the next 6–12 months * A signed-off plan with owners, budget envelopes and quarterly checkpoints For marketers & operators Marketers, content, ops, sales, HR and finance teams. 01 ### Foundations 1 day · or 3 evenings Stop pasting prompts into ChatGPT. Start running AI workflows that touch your real tools. * Marketers: spin up campaign engines that pull from your CRM, brief, draft and schedule across channels * Ops & finance: automate weekly reports, reconciliation and inbox triage with connected AI * Sales: enrich leads, draft proposals and follow-ups grounded in your own data * Spot when a generic tool is enough vs when you need a custom connector built 02 ### Practitioner 2 days · or 6 weekly sessions Wire AI into the way your team actually works. No code required. * Marketers: SEO at scale, programmatic landing pages, content engines tied to analytics * Ops: end-to-end workflows across Slack, Notion, Airtable, your CRM and your data warehouse * HR & support: AI agents that screen, route and respond using your own playbooks * Write a clean brief a builder can turn into a working integration for your stack Engineering & product Click to open CXOs & boards Click to open ## However you want to learn it. Pick the format that fits your team. Mix them if you have to. We are flexible, the curriculum is not. ### Cohort Public cohorts, mixed companies, live online. Best for individuals and small teams. ### Private Run end-to-end for one organisation, tailored to your stack, data and goals. ### In-person Two to five day intensives, on site with your team. Anywhere in the world. ### Embedded We sit with your team for a sprint, train as we build, and leave you with shipped software. How it runs ## From first call to a team that ships. Four steps, no surprises. Most programs go from discovery call to first workshop in under three weeks. 01 ### Discovery call Thirty minutes on who's being trained, what they run today, and what good looks like in 90 days for the business, not for a syllabus. 02 ### Use-case mapping We write down the specific workflows each function will automate and what each one is worth. You sign that off before we build a single slide. 03 ### Hands-on workshops Every session builds one of those workflows, on your tools and your data. Nobody sits through a lecture on what a token is. 04 ### Sandbox to live work Teams practise in a safe copy, then push into daily use. We come back at 30 days and check what actually stuck. [Book the discovery call ](/book) 30 minutes, free, and useful even if you never buy. Why it works ## We train the way we build. In public, on real work. 8–12 Working artefacts your team takes home from a typical 2-day program. 4 wks Average time from Practitioner cohort to first AI workflow live in production. 100% Sessions taught by people who ship production AI for paying clients. Recent workshop ## See a session in action. This clip is from a workshop in Saigon, Vietnam. We've given over 100+ workshops all over the world. More sessions ![WordCamp Ahmedabad training](/assets/wordcamp-ahmedabad-QZZWPjHq.jpg) ![Aashish presenting About Aashish to a packed campus auditorium](/assets/about-aashish-keynote-BP20Zn17.jpg) ![DevFest Noida 2025 talk on Agentic AI](/assets/devfest-noida-agentic-ai-C-3cGYtC.jpg) ![Classroom session at IIT Madras](/assets/iit-madras-classroom-BA729siF.jpg) ![AI enthusiasts workshop with WhatsApp community](/assets/ai-enthusiasts-workshop-Bt0WPVs1.jpg) Full curriculum ## Want the full curriculum? Tell us a bit about your team and we'll email you the complete curriculum, modules, outcomes, sample exercises and timelines, within a few hours. Email me the curriculum Questions ## Before you ask. What exactly is use-case based AI skilling?+ It means we start from the work, not the syllabus. Before the first session we map the specific workflows each function runs, campaign briefs, lead research, month-end commentary, ticket triage, and build the curriculum around those. A marketer's program and an engineer's program end up looking nothing alike, because their work doesn't either. How do you decide which use cases to train on?+ In the discovery call and a short async questionnaire. We look for workflows that are repetitive, high-volume and already annoying someone, then rank them by how much time or money they move. You approve the list before we build anything. Do I need any technical background?+ Depends on the track. Marketers & Operators assumes zero code, just curiosity. Engineers & Product assumes you ship code, no prior AI required. CXOs & Boards assumes nothing technical, just a P&L to defend. How is this different from a free YouTube course?+ We don't teach what you can Google. Every session is about building custom AI systems, connectors and wrappers around your real tools and data. You walk away with working integrations, not prompt tricks. Can you train our whole company?+ Yes. Most engagements mix a CXO session for leadership, Foundations for the wider marketing and ops teams, and a Practitioner or Architect cohort for the engineers who will build. What does it cost?+ Public cohort seats start in the low four figures per person. Private programs are scoped to team size and depth. Tell us what you want and we'll send a clear quote within 48 hours. Who teaches?+ The same team that builds Koso's client systems. You learn from people who ship production AI for a living, not full-time trainers. ## Train your team into an AI-native one. Tell us who you want trained and what good looks like in 90 days. We'll come back with a program in 48 hours. [Book a training call ](/book)[See what we build](/) A custom AI development agency. 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