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Roadmap · Earn independently

Automation for clients (Make)

Opens with credits

For students and early-career engineers who want to build workflow automations that real businesses pay for, using n8n, Make or Zapier. By the end you can connect apps and APIs, shape data, handle failures, add AI steps safely, protect client data, and scope, price and hand over the work.

Curated by Tauseef Fayyaz8 stages, 58 topics~7 months at a few hours a week

By the end, you will be able to

  • Explain triggers, actions, JSON, REST APIs, webhooks, API keys, OAuth and rate limits well enough to connect any app with a documented API
  • Build, test and monitor multi-step workflows in your chosen tool, with retries, error alerts and no duplicate records
  • Add AI steps that return structured, validated output, with a human check and a cost estimate before anything reaches a customer
  • Deliver three common client workflows with least-privilege credentials, client-owned accounts and a written handover
  • Scope a job from a discovery call, price it by the value it creates and offer a maintenance retainer

The path

8 stages, in the order to learn them. Open one to start.

  1. 1How automation worksThe ideas every automation tool is built on: triggers and actions, data mapping, JSON, HTTP and REST APIs, webhooks, authentication and rate limits. Learn them once and every tool, and every API document, starts to make sense.8 topics · ~4 weeks
  2. 2Make in depthLearn Make properly: scenarios and modules, bundles and mapping, functions, routers and filters, iterators and aggregators, data stores, connections and how credits are billed.7 topics · ~5 weeks
  3. Shaping data and logicReal client data is lists, dates, messy text and records that already exist somewhere else. Learn to loop, merge, look up, clean and deduplicate so workflows produce correct results on real data, not just the test record.7 topics · ~4 weeksOpens with credits
  4. Errors, retries and monitoringWorkflows fail: APIs time out, tokens expire, someone renames a sheet column. This stage is about failing safely: retrying the right errors, never creating duplicates, getting alerted before the client notices and keeping a record of what ran.6 topics · ~3 weeksOpens with credits
  5. AI steps in workflowsAdd language models where they genuinely help: classifying, extracting, summarising and drafting. Learn to get structured output, validate it, keep a human in the loop, estimate cost and protect against hallucinations and prompt injection.7 topics · ~4 weeksOpens with credits
  6. Common client workflowsThe workflows small businesses pay for again and again: lead capture into a CRM, email and document parsing, invoicing, scheduled reports and team notifications. Build each one end to end, reliably, so you have a portfolio before your first client.7 topics · ~6 weeksOpens with credits
  7. Data privacy and securityAutomations move customer data between apps and hold keys to a client's business. Learn least-privilege access, client-owned accounts, secret handling, personal data rules and clean offboarding, so trusting you is a safe decision.7 topics · ~2 weeksOpens with credits
  8. Finding clients and selling the workTurn skills into paid work: pick a niche, find clients, run discovery, scope tightly, price by value, get paid safely, hand over properly and keep clients on a maintenance retainer.9 topics · ~3 weeksOpens with credits
Keep reading

6 more stages, 43 more topics, free with an account.

You have seen the open stages of the Automation for clients roadmap. Every topic it covers is listed above, and an account opens the rest: what each topic means, a question to check yourself, the courses, the practice and Tauseef's advice for every stage. Early access is open: sign up and your account is active shortly after.

Everything here is free to learn from. A few things, like adding a roadmap, keeping a cheat sheet or asking Tauseef a question, use credits. You get 15 when you join, your first roadmap is free, and if you are learning seriously and run out, you can ask for more. Credits only make sure the platform goes to people who are actually learning.

Picked from the other libraries by shared topics.

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